fMRI Acquisition - Bold |
Exhibit Hall 2-3
Monday 14:00-16:00 |
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1541. A
Novel Technique for Functional MRI in Regions of Magnetic Field Inhomogeneity –
Z-Shim Asymmetric Spin-Echo (ASE) Spiral
Kimberly D. Brewer1,2, Ryan CN D'Arcy2,3,
Chris V. Bowen2,4, Steven D. Beyea2,4
1Department of Physics, Dalhousie
University, Halifax, Nova Scotia, Canada; 2Institute for
Biodiagnostics (Atlantic), National Research Council of Canada, Halifax, Nova
Scotia, Canada; 3Departments of Psychology and Radiology, Dalhousie
University, Halifax, Nova Scotia, Canada; 4Departments of Physics,
Radiology and Biomedical Engineering, Dalhousie University, Halifax, Nova
Scotia, Canada
The presence of magnetic susceptibility induced field
gradients (SFGs) in regions such as the orbital frontal cortex results in
significant signal loss and image distortion in functional MRI studies. To
overcome this problem we propose a new technique that combines an approach in
which multiple spiral images are acquired asymmetric to a spin-echo, with each
spiral obtained using a different z-shim value (optimized on a slice-by-slice
basis). This method, called Z-shim ASE spiral, permits significant signal
recovery in regions of SFGs, resulting in increased SNR and fMRI signal
recovery.
1542. Combined
Gradient- And Spin-Echo EPI Acquisition Technique for High-Resolution FMRI
Heiko Schmiedeskamp1, Samantha J. Holdsworth1,
Stefan Skare1, Rexford David Newbould2, Gary H. Glover1,
Roland Bammer1
1Lucas Center, Department of Radiology, Stanford University, Stanford, CA, USA; 2GlaxoSmithKline, London, UK
A combined gradient- and spin-echo EPI-based acquisition
technique is presented for application in high-resolution BOLD-fMRI. A
gradient-echo EPI readout prior to a 180° spin-echo refocusing pulse is highly
sensitive to overall BOLD-signal changes, while the spin-echo readout is more
confined to the microvasculature, resolving detailed maps of functional
activity. The high sensitivity from gradient-echo EPI combined with high specificity
through spin-echo EPI resulted in detailed maps showing more distinct areas of
functional activity.
1543.
Comparison
of Volume-Selective Z-Shim and EPI with an FMRI Memory Task
Hu Cheng1, Srikanth Padmala1, Rena
Fukunaga1
1Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
Volume-selective z-shim technique applies z-shim to only
those slices with large susceptibility so that the scanning efficiency is not
sacrificed as much as conventional z-shim approach. An fMRI study using a
memory task involving faces is performed while applying both volume selective
z-shimming and normal EPI techniques. The results show that despite fewer
volumes collected during volume-selective z-shimming, volume-selective z-shim
is superior to EPI especially in the targeted areas of susceptibility, while
little difference is observed in other areas.
1544. Unaliasing
of Multiband Multislice EPI and GRE Imaging with GRAPPA
Steen Moeller1, Essa Yacoub1, Eddie
Auerbach1, Cheryl Ohlman1, Kamil Ugurbil1
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
Whole brain fMRI at ultra high field with large
reduction factors requires accurate treatment of the sparsely sampled data.
While maintaining conventional techniques for unalasing, the effects of only
using 5x4 GRAPPA kernel size are demonstrated for 4x4 aliasing. Larger kernels
must be used to capture the more complex sensitivity profiles. The correct use
of navigator echoes for ACS data is also investigated. Significant image
improvements are demonstrated in rapid whole brain coverage using 16 fold
acceleration, with 4 fold originating from simultaneous acquisition of multiple
slices, enhancing our ability to perform rapid, whole brain fMRI at ultrahigh
fields like 7T.
1545. A
Method to Increase Temporal Resolution in 3D-EPI FMRI Using UNFOLD
Onur Afacan1,2, W. Scott Hoge2,
Dana H. Brooks1, Jing Yuan2, Ming-Long Wu3, Lawrence P. Panych2, Istvan Akos Morocz2
1ECE Dept., Northeastern University,
Boston, MA, USA; 2Radiology Department, Brigham and Women's Hospital
and Harvard Medical School, Boston, MA, USA; 3Brain Imaging and
Analysis Center, Duke University
An fMRI study is ideally acquired at a high temporal
resolution and at
1546.
Isotropic
Sub-Millimeter FMRI of V5 in Human at 7T
Robin Martin Heidemann1, Robert Trampel1,
Dimo Ivanov1, Fabrizio Fasano2,3, Josef Pfeuffer4,
Robert Turner1
1Max Planck Institute for Human Cognitive
and Brain Sciences, Leipzig, Germany; 2Fondazione Santa Lucia, Rome,
Italy; 3Siemens Medical Solutions, Milano, Italy; 4Siemens
Medical Solutions, Charlestown, MA, USA
The increased SNR of ultra-high field MR scanners can be
utilized to push the resolution of fMRI acquisitions. Besides the SNR, unwanted
effects such as geometric distortions and blurring also scale with field
strength. The use of parallel imaging can reduce those effects significantly.
However, due to imperfections in the reconstruction, parallel imaging can be
affected by residual aliasing artifacts. A combination of a zoomed approach and
parallel imaging enables single-shot EPI acquisitions with an isotropic
resolution of (0.7mm) 3. It is shown that the activation of the
visual motion sensitive area V5 does not lead to signal change in an adjacent
large vein.
1547.
Fat
Suppression with Low SAR for SE EPI FMRI at 7T
Dimo Ivanov1, Andreas Schäfer1,
Markus Streicher1, Robert Trampel1, Robert Turner1
1Department of Neurophysics, Max Planck
Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
The goal of this study was to remove the scalp fat
signal present in spin-echo BOLD EPI head acquisitions without using a fat
suppression pulse. This was achieved by increasing the duration of the
refocussing pulse to the T2* value of fat at 7 Tesla. This method has the
advantage of reducing SAR in two ways - by eliminating the need for a fat
saturation pulse and by decreasing the amplitude of the SAR intensive 180
degree pulse. The decrease in SAR results in doubled brain volume coverage for
the same repetition time.
1548. Multiple
Area B1 Shimming: An Efficient, Low SAR Approach for T2-Weighted FMRI Acquired
in the Visual and Motor Cortices of the Human Brain at Ultra-High Field
Pierre-Francois Van de Moortele1, Eddie
Auerbach1, Kamil Ugurbil1, Johannes Ritter1
1CMRR/Medical School, University of Minnesota, Minneapolis, MN, USA
B1 heterogeneities are a major challenge at Ultra-High Field[1,2].
B1 shim techniques can mitigate those inhomogeneities but B1 Shim solutions
aiming at uniform B1 over the whole brain generally result in poor RF
efficiency because of large destructive interferences [3]. A strong case has
been made for the need to address B1 inhomogeneities for T2-weighted fMRI at
Ultra-High fields. It has been demonstrated that a multi region B1 shim is a
very efficient approach to sample T2-weighted contrast in the visual and motor
cortices.
1549.
A
Multi-Resolution Comparison of Single-Shot EPI, 3DFFE and PRESTO for FMRI at 7T
John A. Sexton1,2, John C. Gore1,3,
James Chris Gatenby1,3
1Vanderbilt University Institute of Imaging Science, Nashville, TN, USA; 2Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; 3Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
At high field, magnetic susceptibility effects such as
distortion and signal dropout become severe, and the usefulness of single-shot
EPI for fMRI becomes limited. Here we consider two alternatives to EPI for fMRI
at 7T: 3D Fast Field Echo (FFE) and 3D PRESTO (Principles of Echo Shifting with
a Train of Observations). We observe higher t-values and more activated voxels
in EPI compared with 3DFFE in high-resolution, limited field-of-view studies
(1mm3, 1.2mm3, and 1.75mm3), while PRESTO demonstrates higher t-values and more
activated voxels than EPI at lower resolution, large field-of-view studies
(3mm3).
1550.
Comparison
of Single-Shot 2D EPI and Segmented 3D EVI Acquisition for FMRI at 7T
Wietske van der Zwaag1,2, Tobias Kober1,3,
Jose Pedro Marques1,2, Gary Glover4, Rolf Gruetter1,5,
Gunnar Krueger3
1LIFMET, EPFL, Lausanne, Switzerland; 2UNIL
, Lausanne, Switzerland; 3Advanced Clinical Imaging Technology,
Siemens Suisse SA - CIBM, Lausanne, Switzerland; 4Stanford
University, Stanford, USA; 5UNIL/UNIG, Lausanne/Geneva, Switzerland
Single shot and segmented 3D echo volumar imaging (EVI)
acquisitions have a great potential for high spatio-temporal fMRI. Here, we
compare multi-slice 2D EPI and segmented 3D EVI acquisitions with respect to
performance in fMRI experiments and physiological noise properties at 7T. The
maximum z-score and size of active regions in activation maps were found to
increase significantly with 3D acquisitions. However, the asymptotic limit of
temporal-SNR is lower for 3D than for 2D acquisitions. fMRI protocols using
segmented EVI at high B0 should take this into account by, for example, using a
small voxel size.
1551.
Inner
Volume BOLD-FMRI at Ultra-High Spatial Resolution
Patrick Michael Heiler1, Simon Konstandin1,
Lothar Rudi Schad1
1Computer Assisted Clinical Medicine, University of Heidelberg, Mannheim, Germany
Functional Magnetic Resonance Imaging at ultra high
spatial resolution requires both, a volume selective excitation pulse in order
to acquire small field of view sizes and multi-echo acquisition as a compromise
between enough signal and acceptable measurement time.
1552. Bridging
the Gaps: High-Resolution Visual Field Mapping Using Passband B-SSFP FMRI
Jin Hyung Lee1, Gary H. Glover2,
Dwight G. Nishimura1, John M. Pauly1, Mark Schira3
1Electrical Engineering, Stanford
University, Stanford, CA, USA; 2Radiology, Stanford University,
Stanford, CA, USA; 3Psychology, University of New South Wales,
Sydney, Australia
Accurate visual field mapping using non-invasive BOLD
fMRI is an important tool for elucidating the basic scaffold of the brain¡¯s
functional architecture underlying visual information processing. In this
study, visual field mapping experiment using passband b-SSFP acquisition with a
resolution of 1.5 mm iso-voxels and an 18 x 18 x 3.3 cm3 FOV was
used to investigate it¡¯s capability to produce more reliable high-resolution
functional activations.
1553.
Pass-Band
Balanced SSFP FMRI at 7 Tesla
Jongho Lee1, Masaki Fukunaga1, Jeff
H. Duyn1
1Advanced MRI/LFMI/NINDS, National
Institute of Health, Bethesda, MD, USA
We demonstrate that pass-band SSFP fMRI at 7 Tesla can
provide high quality images and large spatial coverage with limited signal null
areas. The characteristics of the bSSFP functional contrast were also
investigated using multi-echo and multi-TR experiments.
1554.
Monte
Carlo Simulations of Phase Cycled PbSSFP FMRI Acquisitions
Steven Patterson1,2, Steven Donald Beyea1,3,
Chris Van Bowen1,3
1NRC Institute for Biodiagnostics,
Halifax, NS, Canada; 2Physics, Dalhousie University, Halifax , NS,
Canada; 3Physics, Biomedical Engineering, and Radiology, Dalhousie
University, Halifax, NS, Canada
Monte Carlo simulations were used to investigate phase
cycled pass band SSFP (pbSSFP) fMRI acquisitions. Functional contrast
development and transient time reduction were explored for different
catalyzation trains and inter-acquisition time delays to permit signal
recovery. Functional contrast is reduced in phase cycled acquisitions but
steadily increases during the data acquisition window, reaching 2/3 of that
achieved in full steady state for a 2.5 s volume time acquisition. The
diffusion contribution to contrast develops early in the RF train suggesting
phase cycled pbSSFP fMRI acquisitions provide equal or better neurovascular
coupling than observed in the fully developed steady state.
1555. Interleaved
Spiral In/Out B-SSFP Acquisition for Functional Imaging
Anna Leigh Rack-Gomer1, Giedrius Buracas2,
Youngkyoo Jung2, Thomas T. Liu1,2
1Bioengineering, University of California,
San Diego, La Jolla, CA, USA; 2Radiology, University of California
San Diego, La Jolla, CA, USA
Passband b-SSFP (pbSSFP) provides an advantageous
approach for functional imaging by reducing off-resonance artifacts. Setting TE
»½ TR for complete refocusing of spins
further reduces the sensitivity of pbSSFP fMRI to physiological noise
contamination. Spiral approaches can provide greater acquisition efficiency
than EPI, but are less efficient when TE
»
½ TR. We propose an interleaved spiral in/out approach that has its echo time
at the spin refocusing time and maintains its high acquisition efficiency.
1556.
Spatial
and Spectral Analysis for a Radial Sampling Balance SSFP for FMRI
Ray F. Lee1, Jian Xu2, Karthik
Prabhakaran, Michael Arcaro3
1Neuroscience Institute, Princeton University, Princeton, NJ, USA; 2Siemens Medical Solution USA; 3Psychology, Princeton University
The spatial and spectral analysis for the balanced SSFP
sequence revealed that the transition bandwidth can be significantly different
between the middle and the edge of a slice, which, so far, has not been counted
for in its fMRI study. The radial sampling balanced SSFP sequence can minimize
the TE so that susceptibility effect can be further reduced, which allows fMRI
to study some brain region that cannot be seen in EPI.
1557. Measuring
Task-Modulated Contrasts by Transition-Band BSSFP FMRI: A Rate-Dependence Study
of Human Visual Cortical Response
Yi-Lu Tsai1, Teng-Yi Huang1
1Dept. of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
The functional contrast of Transition-band bSSFP
(TB-bSSFP)depends on the complex and nonlinear phase behavior, which is quite
different from the BOLD methods. Whether the functional-contrast studies using
the BOLD methods and TB-bSSFP can reach the same conclusions is still not
investigated. To answer this question, in our study, we designed a visual
experiment to compare the stimulus-rate dependency of the functional contrast
of both BOLD-EPI and TB-bSSFP. In the result, the TB-bSSFP curve shows highly
correlated to the BOLD-EPI curve. Furthermore, the averaged functional
contrasts obtained by TB-bSSFP are higher than that obtained by BOLD-EPI.
1558. Distinguishing
Pial and Laminar Gradient-Echo BOLD Signals at 7 Tesla
Peter Jan Koopmans1, Stephan Orzada2,3,
Markus Barth1,2, David Gordon Norris1,2
1Donders Institute for Brain, Cognition
and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands; 2Erwin
L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany; 3Department
of Diagnostic and Interventional Radiology and Neuroradiology, University
Hospital Essen, Essen, Germany
Spin-echo has been claimed as superior to gradient-echo
in terms of high resolution fMRI at high fields due to reduced sensitivity to
pial vein contributions. This study shows that when distortions and blurring
are kept to a minimum, the pial vein contribution is spatially separable from
the intracortical GE-BOLD response. Patterns of laminar activation in human V1
are demonstrated at 7 Tesla. GE allows for high resolution (laminar) functional
imaging with a high sensitivity, combined with a lower SAR than SE methods, and
is as such the method of choice for human high field laminar imaging.
1559. Laminar
Analysis of High Isotropic Resolution BOLD Activation with a Resolution Pattern
Stimulus in Human V1 at 7T
Jonathan Rizzo Polimeni1, Bruce Fischl1,2,
Douglas Greve1, Lawrence Leroy Wald1,3
1A. A. Martinos Center for Biomedical
Imaging, Massachusetts General Hospital, Charlestown, MA, USA; 2Computer
Science and AI Lab (CSAIL), Massachusetts Institute of Technology, Cambridge,
MA, USA; 3Harvard-MIT Division of Health Sciences and Technology,
Massachusetts Institute of Technology, Cambridge, MA, USA
To test the spatial resolution of the BOLD signal in
primary visual cortex (V1), we designed a simple resolution stimulus that
contains several easily identifiable features for measuring the spatial spread of
the BOLD response across the cortical surface. The isotropic 1x1x1mm3 data
could then be analyzed as a function of cortical lamina on the flattened
cortex. Our measurements suggests that the majority of the BOLD spatial errors
arise from near the pial surface and that avoiding these lamina can
significantly improve the study of fine spatial scale activation in the visual
cortex.
1560.
Functional
MRI in the Rat Brain with Single-Shot Gradient Echo EPI at 16.4 T
David Z. Balla1, Hannes M. Wiesner1,
Gunamony Shajan1, Rolf Pohmann1
1High-Field MR Center,
Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany
The feasibility of gradient echo echo-planar imaging
sequence (GE-EPI) for the accurate detection of stimulation-specific BOLD
activation contrast in the rat brain at 16.4 T was investigated. An experimental
protocol for longitudinal fMRI studies with extensive monitoring of the
animal’s physiological status was employed. It was found that parameter
optimized single-shot GE-EPI detects high quality images and is suitable for
fMRI studies, provided motion effects during the timeseries can be compensated
by data processing. The first specific BOLD activation maps at 16.4 T are
presented and methodical details are discussed.
1561. Large
Influence of Flow-Related Contribution on FMRI Signal: A 9.4T Study Using
Hypercapnia
Xiao Wang1, Xiao hong Zhu1, Yi
Zhang1, Wei Chen1
1Center for Magnetic Resonance Research
and Department of Radiology, University of Minnesota, Minneapolis, MN, USA
Although fMRI based on BOLD contrast has become one most
prominent neuroimaging modality for mapping brain activity, it is still elusive
whether the measured signal by fMRI is completely originated from the true BOLD
or could be significantly contributed by the flow-related component, and if
yes, whether the flow-related component is from macro- or micro vascular
origin. The primary goals of this study are: i) to quantitatively investigate
the relative contributions from BOLD and flow-related signal in the rat brain
cortex at 9.4T using hypercapnia. The results indicate that: i) the
flow-related contribution into the total signal change detected by fMRI is
large and compatible to the BOLD contribution when a short repetition time is
applied; and ii) the flow-related signal is mainly originated from perfusion
change and inflow effect in small arterioles, thus, it can be utilized to
further improve sensitivity and specificity of fMRI for mapping neuronal
activity during brain activation.
1562.
Improved
Separation of Tissue Oxygenation Extraction Fraction and Deoxygenated Blood
Volume by Using the QBOLD Technique.
Jan Sedlacik1, Jürgen R. Reichenbach2,
Claudia M. Hillenbrand1
1St. Jude Children's Research Hospital, Memphis, TN, USA; 2Friedrich Schiller Universität, Jena, Germany
He and Yablonskiy introduced a quantitative BOLD method
for tissue oxygenation extraction fraction (OEF) and deoxygenated blood volume
(DBV) estimation. However, the calculation of OEF and DBV can be erroneous or
deliver ambiguous results when both parameters are unknown and have to be
estimated simultaneously. The purpose of this work was to develop a model
strategy for more accurate OEF and DBV fitting based on the analysis of the
imaginary part of the tissue model signal which is decoupled from the signal of
the tissue matrix.
1563.
Modulating
Brain Activity Via Multi-Echo FMRI Neurofeedback
Mark Chiew1,2, Audrey Yu Ching Kuo2,3,
Simon J. Graham1,2
1Rotman Research Institute, Toronto, ON,
Canada; 2Medical Biophysics, University of Toronto, Toronto, ON,
Canada; 3Sunnybrook Health Sciences Centre, Toronto, ON, Canada
The use of functional MRI (fMRI) to perform
neurofeedback (NF) experiments is of increasing interest. Here a novel
multi-echo pulse sequence designed for real-time fMRI and NF is validated by
explicit demonstration of NF using the right and left primary sensorimotor
cortices (SMC). Participants viewed a colour bar that quantified SMC laterality
and were asked to modulate their brain activity to match the target laterality
by performing a unilateral hand clenching task. In 18 experiments over 4
participants, there was 100% success in matching the target task condition.
1564. White
Matter FMRI: Exploring Functional Differentiation in the Corpus Callosum
Jodie R. Gawryluk1,2, Kim Dillen1,
Kim D. Brewer1,2, Erin L. Mazerolle1,2, Steven D. Beyea1,2,
Ryan CN D'Arcy1,2
1Institute for Biodiagnostics (Atlantic),
National Research Council Canada, Halifax, Nova Scotia, Canada; 2Dalhousie University, Halifax, Nova Scotia, Canada
The ability to detect fMRI activation in white matter
has been a matter of considerable debate. We have recently reported the first
two prospective 4T fMRI studies, which used interhemispheric transfer tasks to
elicit activation in the corpus callosum. These studies used different tasks
and reported activation in functionally appropriate and separable white matter
regions. The current study replicated these activation results using a within
subjects design and showed that task type can be used to map functional
specialization in white matter.
1565.
Real-Time
Single-Trial BOLD Response Detection for Visual Attention at 7T
Patrik Andersson1, Jeroen C. Siero1,2,
Josien PW Pluim1, Max A. Viergever1, Nick F. Ramsey2
1UMC Utrecht, Image Sciences Institute, Utrecht, Netherlands; 2UMC Utrecht, Department of Neurology and Neurosurgery, Utrecht, Netherlands
Using high-field (7T) fMRI we have investigated the
possibility of using visuospatial attention as a control-method for
Brain-Computer-Interfaces. A visual attention localizer task was first used to
determine the cortical regions that respond to visual attention. A control
signal based on the activation in these regions was subsequently used as
real-time feedback to the subjects.
1566.
Compensation
of Non-T1-Related Artifacts in Variable TR FMRI at 1.5T
Shuowen Hu1, Olumide Olulade1,
Gregory G. Tamer2, Wen-ming Luh3, Thomas M. Talavage1,2
1School of Electrical and Computer
Engineering, Purdue University, West Lafayette, IN, USA; 2Weldon
School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; 3National
Institute of Mental Health, Bethesda, MD, USA
The objective of this study is to assess signal fluctuations induced by non-T1-related
confounds in variable repetition time fMRI and to develop a compensation
procedure. “Dummy” acquisitions (gradient readout sequences with
radio-frequency excitation disabled) were effected at variable offsets between
actual acquisitions, allowing the study of non-T1-related confounds such as
eddy currents and gradient coil heating that may arise in variable TR
experiments. Three imaging sessions utilizing a phantom were conducted to
assess the signal fluctuations, which were modeled as a second order system. A
modified projection procedure was successfully implemented to correct for
signal fluctuations arising from non-T1-related confounds.
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fMRI: Non-BOLD |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
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1567. Hybrid
Modelling of Axonal Magnetic Fields for Direct MR Neuronal Detection Estimation
Syed Muhammad Anwar1, Greg G. Cook1,
Li Sze Chow2, Martyn N. Paley2
1Electronics and Electrical Engineering, University of Sheffield, Sheffield, UK; 2Academic Unit of Radiology, University of Sheffield, Sheffield, UK
A novel hybrid modelling technique is described to
predict the strength of evoked axonal fields within a voxel. This is done to
help corroborate the results of previously reported Direct MR Neuronal
Detection (DND experiments, which test the hypothesis that such fields perturb
the MR
1568. Observation
of Functional ADC Decrease in the Extravascular Tissue: A FMRI Study with
Suppression of Intravascular Signal
Tao Jin1, Ping Wang1, Seong-Gi Kim1,2
1Department of Radiology, University of
Pittsburgh, Pittsburgh, PA, USA; 2Department of Neurobiology,
University of Pittsburgh, Pittsburgh, PA, USA
The diffusion weighted fMRI signal change has been found
to increase at high b-values, indicating a decrease of the apparent diffusion
coefficient (ADC). It is currently unclear whether this ADC decrease is
predominately caused by vascular contributions. We have studied the
diffusion-weighted fMRI in the cat visual cortex for high b-values (up to
2500s/mm2), with and without the suppression of intravascular blood
using a contrast agent. We found that the diffusion fMRI signal after contrast
agent injection increases with b-value at the parenchyma, indicating a small
decrease of ADC in the extravascular space.
1569.
How
Vascular Effects Contribute to Heavily Diffusion-Weighted FMRI Signal
Denis Le Bihan1,2, Toshihiko Aso1,2,
Shin-ichi Urayama2, Cyril Poupon1, N Sawamoto2,
Kenji Aso2, Hidenao Fukuyama2
1I²BM/DSV/CEA, NeuroSpin, Gif-sur-Yvette, France; 2Human Brain Research Center, Kyoto University, Kyoto, Japan
Using heavily diffusion-sensitized MRI a transient
decrease in water diffusion has been reported in the activated visual cortex of
human subjects. The steep onset of the diffusion response and its temporal
precedence relative to the BOLD fMRI response suggest a non-vascular origin.
However, this assumption has been challenged by recent studies. The purpose of
this work is to provide a theoretical framework which resolves the controversy.
It is shown that during neuronal activation residual vascular effects only
represent a fraction of the DfMRI signal. The diffusion component largely
dominates at very large b values before hemodynamic events take place. The
vascular-related tissue relaxivity component dominates the DfMRI signal at the
end of the activation window.
1570. Monte-Carlo
Simulations of BOLD Background Gradient Contributions in Diffusion-Weighted
FMRI— Comparison of Spin Echo and Twice-Refocused Echo Sequences
Andre Pampel1, Thies H. Jochimsen, 1,
Harald E. Moeller, 1
1Nuclear Magnetic Resonance Unit, Max
Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
The interaction (‘cross-terms’) between
diffusion-weighting gradients and susceptibility-induced background gradient
fields around vessels has an impact on ADC measurements using spin echoes.
Monte-Carlo (MC) simulations integrating the Bloch equations numerically for a
large number of random walks in a vascular network were used to investigate to
what extent such interactions could influence the extravascular signal change
observed in diffusion-weighted fMRI experiments. It is shown, that the Twice
Refocused Echo sequence permits sufficient suppression of such contribution
under experimentally relevant conditions.
1571. Signal
Source in Heavily Diffusion-Weighted Functional MRI
Daigo Kuroiwa1, Hiroshi Kawaguchi1,
Jeff Kershaw1, Atsumichi Tachibana1, Joonas Autio1,
Masaya Hirano2, Ichio Aoki1, Iwao Kanno1,
Takayuki Obata1
1Department of Biophysics, Molecular
Imaging Center, National Institute of Radiological Sciences, Chiba, Japan; 2Japan
Applied Science Laboratory, GE Yokogawa Medical Systems, Hino, Tokyo, Japan
The contribution of the BOLD effect in heavily
diffusion-weighted fMRI is still unclear. In this study, a multiple spin-echo
echo-planar-imaging sequence after motion probing gradients was used to measure
the transverse relaxation rate at different b-values. The results suggest that
the contribution of BOLD to DW fMRI signal changes is independent of the
b-value. It is speculated that the main contribution to heavily
diffusion-weighted functional MRI signal is not the BOLD effect.
1572. Diffusion-Weighted
TE-Dependent FMRI Signal in Rat Somatosensory Cortex at 7 T
Joonas Arttu Autio1,2, Jeff Kershaw1,3,
Takayuki Obata1, Sayaka Shibata1, Daigo Kuroiwa1,
Iwao Kanno1, Ichio Aoki1
1Molecular Imaging Center, National
Institute of Radiological Sciences, Inage-Ku, Chiba, Japan; 2National
bio-NMR facility, University of Kuopio, Kuopio, Eastern Finland, Finland; 3School
of Bioscience and Biotechnology, Tokyo Institute of Technology, Midori-Ku,
Yokohama, Japan
Diffusion-weighted fMRI study was performed on
alpha-chloralose anaesthetized rats at 7 T with somatosensory stimulation.
Measurements were made for a range of b-values 0-2000 s/mm2 and echo-times 30,
60 and 90 ms. The signal increase often observed at high b-values was not
observed, nor was there any significant attenuation of the post-stimulus
undershoot.
1573.
Evaluation
of Diffusion FMRI (DfMRI) with Short Event Related Paradigms
Toshihiko Aso1, Cyril Poupon1,
Shin-ichi Urayama2, Hidenao Fukuyama2, Denis Le Bihan2,3
1NeuroSpin, I2BM/DSV/CEA, Gif-sur-yvette,
France; 2Human Brain Research Center, Kyoto University Graduate
School of Medicine, Kyoto, Japan; 3NeuroSpin, I2BM/DSV/CEA,
Gif-sur-yvette,, France
Visual activation can be detected with heavily
sensitized diffusion-fMRI (DfMRI). The striking temporal precedence of the
diffusion response to BOLD suggests a non-vascular source. However, a residual
tissue T2’ component sensitive to vascular (BOLD) effects also remains present
in the DfMRI signal.The purpose of this study was to build a DhRF response
function optimized for DfMRI taking into account both diffusion and vascular
dynamics, and to evaluate it in an ultra-short event-related stimulation mode.
This DhRF was shown to better predict activation in DfMRI data than the usual
HRF, offering an improved sensitivity and specifity. The overall temporal
precedence of the DfMRI signal over BOLD-fMRI was confirmed with those
ultra-short event-related paradigms.
1574. Cortical
Layer-Dependent BOLD and Arterial Blood Volume Responses Measured by MT-Varied
BOLD FMRI
Tae Kim1, Seong-Gi Kim1,2
1Radiology, University of Pittsburgh, Pittsburgh, PA, USA; 2Neurobiology, University of Pittsburgh
The cortical depth profile of CBVa was measured to
examine spatial specificity in a cortical layer model. BOLD and CBVa change
during visual stimulation was simultaneously measured by MT-varied BOLD fMRI in
cats. The highest signal changes were detected at cortical surface areas in
conventional BOLD fMRI, but at the middle of cortex and the cortical surface in
CBVa fMRI. This suggests that both parenchymal and upstream pial arterial
vessels dilate, and the CBVa can be used to improve spatial specificity of fMRI
signals within the cortex.
1575.
Measurement
of Absolute CBV Change During Brain Activation Using Grey Matter Nulled FMRI
Yuji Shen1, Ida Mengyi Pu2, Risto
A. Kauppinen3
1School of Medicine, University of
Birmingham, Birmingham, UK; 2Department of Computing, Goldsmiths,
University of London, London, UK; 3Biomedical NMR Research Center,
Dartmouth Medical School, Hanover, NH 03755, USA
MR signal measured by grey matter nulled (GMN) fMRI is
affected by partial volume effects from CSF, complicating quantification of
possible change in absolute CBV. We present an approach to estimate change in
absolute CBV to brain activation by determining blood and CSF signals
separately at voxel level. Two different TRs were used to acquire GMN fMRI data
which were used for quantification of CBV. Increase in absolute CBV was found
to be 16.7 ± 5.8% in the visual cortex to checkerboard stimulation, which is
significantly more than the increase in raw GMN fMRI signal by 7.0 ± 1.9%.
1576.
A
Theoretical and Experimental Investigation of Vascular-Space-Occupancy (VASO)
Blood Nulling Times: Influence of Hematocrit and Oxygenation on Null Times and
CBV Quantification
Manus Joseph Donahue1, Stefan K. Piechnik1,
Rob Tijssen1, Daniel Gallichan1, Karla L. Miller1,
Peter Jezzard1
1Clinical Neurology, The University of Oxford, Oxford, UK
Traditionally, macrovascular blood T1 is nulled in
CBV-weighted VASO experiments, although CBV changes occur in microvasculature.
VASO fMRI (n=8) is investigated for varying blood-nulling inversion times
corresponding to a range of blood oxygenation and hematocrit. Microvascular
null times produce similar CBV changes (DCBV=18.9±2.7%)
to macrovascular blood null times (DCBV=23.2±3.1%)
at long TR=5s. In agreement with previous reports, we show that the choice of
TI predictably influences the observed sensitivity of VASO to functional
stimulation but that this influence is small at long TR over a blood T1 range
corresponding to typical variation in average blood oxygen saturation and
hematocrit.
1577. Separation
of the Vascular and Tissue Contributions to the T1ρ Change Induced by
Brain Activation
Tao Jin1, Seong-Gi Kim1,2
1Department of Radiology, University of
Pittsburgh, Pittsburgh, PA, USA; 2Department of Neurobiology,
University of Pittsburgh, Pittsburgh, PA, USA
T1rho of tissue water is a physiological parameter
sensitive to the tissue microenviroment as well as macromolecular composition
and density. We recently reported an activation-induced change of T1rho in the
parenchyma of the cat visual cortex. In order to investigate whether this T1rho
contrast has significant extravascular contribution, we have studied the T1rho
fMRI response with and without suppression of the intravascular blood using a
contrast agent. We found that a majority of the T1rho change arose from the
extravascular tissue.
1578. Pseudo-Continuous
Arterial Spin Labeling with Optimized Tagging Efficiency for Quantitative ASL
FMRI
Youngkyoo Jung1, Anna Leigh Rack-Gomer2,
Eric C. Wong1,3, Giedrius T. Buracas1, Thomas T. Liu1
1Radiology, University of California, San
Diego, San Diego, CA, USA; 2Bioengineering, University of
California, San Diego, San Diego, CA, USA; 3Psychiatry, University
of California, San Diego, San Diego, CA, USA
Arterial spin labeling fMRI can provide quantitative
measurements of functional changes in CBF that can be used either on their own
or in conjunction with BOLD measures. The PCASL method offers higher SNR and
therefore the potential for improved detection of activation compared to pulsed
ASL. The quantification of CBF activation with PCASL has not yet been examined
in detail, and may be sensitive to phase errors. Here we optimized the PCASL
method by estimating and compensating the phase errors at the tagging vessels.
Our result shows good agreement in quantitative CBF measures between PICORE and
our optimized PCASL method.
1579. High
Temporal Resolution Functional MRA for Investigating the Neural Activity
Chan-A Park1, Chang-Ki Kang1,
Seung-Taek Oh1, Young-Bo Kim1, Zang-Hee Cho1
1Neuroscience Research Institute, Gachon University of Medicine and Science, Incheon, Korea
Even though the exact mechanism of the blood oxygen
level dependent (BOLD) signal is still controversial, it is certainly that the
signal change is related to the combination of physiological changes, which
include the blood flow/volume change. Until now, with lower sensitivity of
blood flow signal, temporal resolution was not enough to compare with fMRI.
However, due to high sensitivity for blood flow signal, ultra high field MRI
(7T) could provide the opportunity of detecting directly the vascular response
by external stimulation. In this paper, we tried to reduce the temporal
resolution to 3 sec. for examining the vascular response induced by
stimulation, comparable to fMRI.
1580.
Quantification
of Parenchymal T1 in the Activated Visual Cortex in Grey Matter Nulled and VASO
FMRI Images
Yuji Shen1, Ida Mengyi Pu2, Risto
A. Kauppinen3, Xavier Golay4
1School of Medicine, University of
Birmingham, Birmingham, UK; 2Department of Computing, Goldsmiths,
University of London, London, UK; 3Biomedical NMR Research Center,
Dartmouth Medical School, Hanover, NH 03755, USA; 4Department of
Brain Repair and Rehabilitation, Institute of Neurology, University College
London, London, UK
We examined spatial overlap and T1 values of the
activated voxels revealed by grey matter nulled (GMN) and vascular space
occupancy (VASO) fMRI techniques in the human visual cortex at 3T. Both fMRI
techniques are designed to reveal blood volume changes during brain activation.
It was found that the activated voxels by GMN and VASO fMRI methods overlap
only by ~10%. Baseline T1 values in activated voxels were 1608 ± 283 ms and
1247 ± 214 ms for GMN and VASO fMRI, respectively, suggesting that these fMRI
techniques probe different parenchymal compartments. |
|
fMRI: Physiological Noise |
Exhibit Hall 2-3
Wednesday 13:30-15:30 |
|
1581.
Stimulus
Induced Modulation of Low Frequency Fluctuations in BOLD FMRI of the Rat
Waqas Majeed1, Matthew Magnuson1,
Shella Keilholz1
1Biomedical Engineering, Georgia
Institute of Technology / Emory University, Atlanta, GA, USA
We acquired fMRI data with and without continuous
unilateral forepaw stimulation, from rats. Our results show that stimulation
reduces power in the low frequency band in the stimulated area in the brain as
well as the area 'functionally connected' to the stimulated area.
1582. Voxel-Wise
Regressor Selection for Physiological Noise Correction with RETROICOR
Mark Jenkinson1, Rob Tijssen1, Jonathan
Brooks1, Karla Miller1
1Clinical Neurology, FMRIB Centre, University of Oxford, Oxford, UK
A method is proposed that uses the Bayesian Information
Criterion to adaptively select the most suitable set of RETROICOR regressors at
each voxel separately. This is shown to dramatically reduce the number of
regressors needed per voxel, with advantages in reducing degrees of freedom
loss and minimising interaction between stimulus-related regressors and
physiological noise regressors. Tests are performed with resting FMRI data with
typical TR (3s) and low TR (0.15s).
1583. Evaluation
of Cyclic and Global Retrospective Corrections of Physiological Signals on
Activated FMRI
Arsène Longin Ella1, Jochen Rick1,
Jürgen Hennig1
1Dept. of Diagnostic Radiology, Medical
Physics, University Hospital Freiburg, Freiburg, Germany
The cyclic retrospective correction of physiological
signals, introduced along with Fourier and polynomial fit methods, was shown to
be an alternative to RETROICOR (global method). In this study, we evaluated and
compared different approaches of physiological signal correction on activated
fMRI data acquired at different TR. The results showed: i) an increase in the
number of activated voxels for all correction methods ii) no significant
difference between global corrections performed using histogram and linear
respiratory phases, either with Fourier or polynomial iii) a significant
increase of the number of activated voxels after correction with cyclic methods
compared to global methods.
1584. Physiological
Noise in GRAPPA FMRI Time-Series
Christina Triantafyllou1,2, Mattijs Elschot2,3,
Jonathan R. Polimeni2, Lawrence L. Wald2,4
1A.A. Martinos Imaging Center, McGovern
Institute for Brain Research, MIT, Cambridge, MA, USA; 2A.A.
Martinos Center for Biomedical Imaging, Department of Radiology, MGH,
Charlestown, MA, USA; 3Department of Biomedical Engineering,
Eindhoven University of Technology, Eindhoven, Netherlands; 4Harvard-MIT
Division of Health Sciences and Technology, MIT, Cambridge, MA, USA
Highly parallel detection of functional imaging
time-series provides the potential for higher image Signal-to-Noise ratio
(SNR0) as well as decreased susceptibility distortions in echo-planar imaging.
In this study we examine the effect of GRAPPA (R=1,2,3,4) on the time-course
SNR (tSNR) at 3T with a 32 channel head coil for a number of image resolutions
common to fMRI. Our findings suggest that the acceleration penalty (gÖR) behaves like other modulators of SNR0
such as field strength, voxel volume, flip angle and coil type.
1585. Real-Time
Observation of Spatiotemporal Dynamics of Arterial Pulsatility with
MR-Encephalography
Jürgen Hennig1, Thimo Grotz1,
Benjamin Zahneisen1, Arsenne Ella1, Maxim Zaitsev, Irina
Mader2, Andreas Harloff3
1 Dept. of Diagnostic Radiology, Medical
Physics, University Hospital Freiburg, Freiburg, Germany; 2Neuroradiology,
University Hospital Freiburg, Freiburg, Germany; 3Neurology,
University Hospital Freiburg, Freiburg, Germany
The paper presents results from fast measurements of the
spatiotemporal measurements of arterial pulsatility in the area of the
calcarine fissure measured by MR-encephalography (MREG). Results in 7
volunteers demonstrate that the peak of the arterial pulse wave is detected
first in the cortext supplied by leptomeningeal arteries followed by white
matter structures supplied through the circle of Willis. The sensitivity of the
measurement allows real time detection of spatiotemporal variations with
potential applications in stroke, stenosis and other hemodynamically relevant
pathological conditions.
1586. Physiological
Noise Characteristics in FMRI of the Rodent at 11.7T
Daniel Kalthoff1, Jörg Ulrich Seehafer1,
Dirk Wiedermann1, Mathias Hoehn1
1In-vivo-NMR Laboratory,
Max-Planck-Institute for Neurological Research, Cologne, Germany
Temporal SNR (tSNR) in fMRI studies can be compromised
by physiological noise, which prevents SNR gains from higher field strength or
improved hardware to be translated into fMRI sensitivity. In this study we
investigated the presence of physiological noise in BOLD fMRI protocols for the
rodent at very high field strength of 11.7 Tesla. Physiological Noise
contributions were spatially mapped and analyzed for various voxel sizes in
rats (n=5) under Isoflurane anesthesia. Results indicate that physiological
noise contribution may be on the level of thermal noise or even the dominant
source of noise for common fMRI protocols in this application.
1587. Quantifying
the Effects of CO2 on the Resting BOLD Signal
Tingying Peng1, Rami Niazy2,
Richard Wise, Stephen Payne3
1Institute of Biomedical Engineering,
University of Oxford, Oxford, Oxfordshire, UK; 2CUBRIC, University
of Cardiff, Cardiff, UK; 3Institute of Biomedical Engineering,
University of Oxford, Oxford, UK
Spontaneous fluctuations in arterial carbon dioxide
(CO2) have previously been identified as an important source of low frequency
variations in the resting-state BOLD signal. Current study investigates the
underlying relationship between CO2 and BOLD variations under two
circumstances: eyeopen and eyeshut by using linear regression analysis and
cross-correlation analysis. It has been found out that the time delay between
the two signals is significantly shorter in eyeshut than in eyeopen.
Furthermore, wavelet cross-correlation analysis is used to investigate the
frequency-dependency of the CO2-BOLD coupling, suggesting the effects of CO2
are concentrated in the low frequency band 0-0.08Hz.
1588.
Effects
of Sensitivity Encoding and Physiological Noise on Temporal Signal Stability
and FMRI at 7T
John A. Sexton1,2, James Chris Gatenby1,3,
John C. Gore1,3
1Vanderbilt University Institute of
Imaging Science, Nashville, TN, USA; 2Biomedical Engineering,
Vanderbilt University, Nashville, TN, USA; 3Department of Radiology
and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
We investigate the effects of changing SENSE
acceleration factor R on the relative contributions of physiological noise to
the total noise of an fMRI time series, fMRI sensitivity, and temporal signal
stability at 7T. We observe decreases in the contributions of physiological
noise as R increases, and we find excellent agreement between measured TSNR
data and a theoretical model. We conclude that acquiring data with R = 4 is
appropriate for single-shot EPI fMRI experiments like ours at 7T, and that
parallel imaging coils with many elements can significantly improve fMRI
results at high field.
1589.
B0
Dependence of Physiological Noise in BOLD FMRI
Tomas Jonsson1,2, Terri Lindholm1, Pierre Vestman1, Maria Kristoffersen Wiberg2, Jerzy Bodurka3,
Tie - Qiang Li1
1Medical Physics, Karolinska Huddinge,
Stockholm, Sweden; 2CLINTEC, Karolinska Institutet, Stockholm,
Sweden; 3NIMH, National Institute of Health, Bethesda, MD, USA
Founded on a number of anticipated advantages, such as,
gains in SNR and improved sensitivity in detecting brain activations, the
interest in conducting BOLD at higher field strength is continuously growing.
However, physiological noises are also amplified with the increased signal
strength. Here we propose a straightforward procedure to remove cardiac and
respiratory related signal fluctuations and characterize the remaining
physiological noise level as a function of hardware settings.
1590. Physiological
Origin of Low Frequency Drift in BOLD FMRI
Lirong Yan1, Yan Zhuo1, Yongquan Ye1,
Sharon Xie2, Jing An3, Geoffrey Aguirre4,
Jiongjiong Wang5
1State Key Laboratory of Brain and
Cognitive Science, Institute of Biophysics, CAS, Beijing, China; 2Department
of Biostatistics & Epidemiology, University of Pennsylvania, Philadelphia,
PA, USA; 3Siemens Mindit Magnetic Resonance Ltd., Shenzhen, China; 4Neurology,
University of Pennsylvania, Philadelphia, PA, USA; 5Radiology,
University of Pennsylvania, Philadelphia, PA, USA
We investigated the biophysical mechanism of low
frequency drift in BOLD fMRI (0~0.01Hz), by exploring its dependence on TE and
image intensity as well as relationship with task-induced BOLD activation.
Cardiac and respiratory signals were concurrently recorded during MRI scanning
and subsequently removed. Drifts followed a characteristic dependence on TE and
signal intensity that was similar to the BOLD contrast. There was a strong
positive correlation between drift effects at baseline and tasked induced BOLD
activation. Our study supports brain physiology, as opposed to scanner
instabilities or cardiac/respiratory pulsations, as the main source of low
frequency drifts in BOLD fMRI.
1591. Characterizing
Physiological Noise in the Brainstem: Passband SSFP Vs. GRE-EPI
Rob Hendrikus Tijssen1, Mark Jenkinson1,
Peter Jezzard1, Karla Loreen Miller1
1FMRIB Centre, Oxford University, Oxford, Oxon, UK
Functional imaging of the brainstem is problematic when
using GRE-EPI BOLD due to susceptibility artefacts, small target nuclei, and
high levels of physiological noise. Passband SSFP may provide an attractive
alternative as it has the potential to produce high-resolution images with
reduced distortions. This work presents a characterization of different
physiological noise components in pbSSFP, SPGR and single-shot GRE-EPI. It was
found that pbSSFP exhibits lower signal fluctuations at cardiac and respiratory
frequencies compared to conventional GRE-EPI. These findings, in conjunction
with the ability to obtain high-resolution, low-distortion images, may make
pbSSFP an attractive option for brainstem fMRI.
1592.
The
Use of Neurofeedback with Real-Time Functional MRI to Suppress Physiological
Noise.
Jerzy Bodurka1, Javier Gonzalez-Castillo2,
Peter Bandettini1,3
1Functional MRI Facility, National
Institute of Mental Health, NIH, Bethesda, MD, USA; 2Weldon School
of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; 3Section
on Functional Imaging Methods, National Institute of Mental Health, NIH,
Bethesda, MD, USA
In the present study, we employed rtfMRI neurofeedback
to investigate whether healthy subjects can learn to self-regulate the
variability of the fMRI response in areas affected by high levels of
physiological noise. In particular, subjects were asked to attempt to reduce
the standard deviation (SDEV) of the fMRI signal in the ventricles and in the
posterior sinus. We hypothesized that learning to self-control the variability
of the fMRI signal in these extra-cortical areas would be accompanied by
increased fMRI time series temporal signal to noise ratio (TSNR=mean voxel time
course signal/time course standard deviation) in both white (WM) and gray (GM)
matter compartments. Indeed five of six subjects studied were able to
self-regulate the variability of the fMRI signal. Our results show: (1) that
subjects can actively reduce SDEV of the fMRI signal in the ventricles and the
posterior sinus using fMRI neurofeedback; and (2) such SDEV decrease is
accompanied by a significant increase of fMRI TSNR in both white and gray
matter compartments.
1593.
BOLD
Physiological Noise Reduction Using Spatio-Spectral-Temporal Correlations with
NIRS
Douglas N. Greve1, Daniel Goldenholz1,
Gayatri Kaskhedikar1, Jonathan Polimeni1, Bruce Fischl1,
Lawrence L. Wald1,2, Bruce Rosen1, Christina
Triantafyllou3, David Boas1
1Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, USA; 2Harvard-MIT
Division of Health Sciences and Technology, Cambridge, MA, USA; 3Massachusetts
Institute of Technology, Cambridge, MA, USA
The purpose of this work is to improve the detection of
BOLD fMRI
1594.
Relationship
Between Respiratory Variations and End-Tidal CO2 in BOLD FMRI
Physiological Noise
Catie Chang1, Gary H. Glover1,2
1Electrical Engineering, Stanford University, Stanford, CA, USA; 2Radiology, Stanford University, Stanford, CA, USA
One major source of fMRI physiological noise relates to
variations in respiration depth and rate. It has been shown that respiratory
variations (RVT), computed from pneumatic belt measurements of chest expansion
during breathing, explains significant variance in fMRI timeseries. While RVT
is believed to relate to arterial CO2, a vasodilator, the relationship between
RVT and CO2 – as well as their
1595. Reduction
of Physiological Noise Effects in FMRI Phase Time Series
Gisela E. Hagberg1, Marta Bianciardi2,
Valentina Brainovich1, Bruno Maraviglia3
1Santa Lucia Scientific Foundation, Rome,
Italy; 2LFMI, NINDS, NIH, Bethesda, MD, USA; 3University
La Sapienza, Rome, Italy
MRI is a phase sensitive detection system and both
magnitude and phase time-series are obtained in an fMRI study. In a previous
work it was shown that physiologic noise has a greater impact on phase than
magnitude images. It was suggested that large scale fluctuations of the static
magnetic field due to respiration and heart beat are the main cause of this
difference. In this work we first characterised the effect of physiologic
parameters (ECG and respiration) on the magnitude and the phase signal and then
investigated the effect of different post-processing methods, including spatial
filtering. |
|
fMRI Mechanisms, Models, & Limits |
Exhibit Hall 2-3
Thursday 13:30-15:30 |
|
1596. Spatiotemporal
Investigation of the FMRI Response to Brief Somatosensory Stimulation in Awake
Marmosets
Yoshiyuki Hirano1, Junjie V. Liu1,
Bojana Stefanovic2, Afonso C. Silva1
1Cerebral Microcirculation Unit, Laboratory
of Functional and Molecular Imaging, National Institute of Neurological
Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; 2Sunnybrook
Health Sciences Centre, Toronto, ON, Canada
The unceasing perfection of MRI hardware has led to
continued improvement of the spatial and temporal resolution of fMRI. Here, the
spatiotemporal features of the BOLD hemodynamic response (HDR) to brief
somatosensory stimulation were measured in awake marmosets. The HDR to a single
333 µs electrical pulse could be robustly detected in S1 and S2, but not in
caudate. Longer stimulus durations increased both the amplitude and spatial
coverage of the HDR. The onset time of the BOLD HDR was shorter in S1 than
either S2, suggesting the HDR starts in S1 before progressing to higher-order
brain regions.
1597. 75
µm High-Resolution Parallel Imaging GE-EPI BOLD FMRI in Rats at 11.7 Tesla:
New Insights Into Cortical and Thalamic Micro-Structures
Joerg Ulrich Seehafer1, Tom Geraedts2,
Mathias Hoehn1
1In-vivo-NMR Laboratory,
Max-Planck-Institute for Neurological Research, Cologne, Germany; 2Biomedical NMR, Technical University Eindhoven, Netherlands
This fMRI study shows new insights into micro-structures
of cortical columns and layers in S1 as well as detailed activation of thalamus
by GE-EPI BOLD response following forepaw stimulation in rats using Parallel
Imaging and high spatial resolution of 75 µm x 75µm x 1mm at 11.7 Tesla. Also,
repetitive GE-EPI scans show continual micro-structure of activation with less
susceptibility distortions and without venous vessel contribution. For the
first time the activation cluster in S1 revealed areas of activation, but also
areas of no activation, which give information about the actual sub-structures
of cortical areas.
1598.
Cortical
Boundaries Revealed by T1 Mapping: Comparison with FMRI in Awake
Marmosets
Junjie V. Liu1, Nicholas A. Bock1,
Yoshiyuki Hirano1, Afonso C. Silva1
1CMU/LFMI/NINDS, National Institutes of
Health, Bethesda, MD, USA
We studied spatial variations in T1 across cortical gray
matter, specifically the primary (SI) and secondary (SII) somatosensory
cortices, using a new T1-mapping method based on inversion recovery. SI was
distinguished from abutting cortical areas by its significantly lower T1
values. The anatomical SI-SII boundary demarcated from T1 map matched the
functional SI-SII boundary, which was defined by the gap between two clusters
of functional MRI responses to electrical stimulation of peripheral nerves.
Thus, cortical architecture revealed by T1 mapping can corroborate the fMRI
brain mapping results.
1599. Neurophysiological
Underpinnings of Ketamine-Induced Negative BOLD Response.
Naranjargal Dashdorj1, Mirjam I. Schubert1,
Malcolm Prior2, Rob Mason3, Dorothee Auer1
1Academic Radiology, University of
Nottingham, Nottingham, UK; 2Brain and Body Centre, University of
Nottingham, Nottingham, UK; 3School of Biomedical Sciences,
University of Nottingham, Nottingham, UK
In depth understanding of drug-induced BOLD response and
its underlying neural activity is essential for correct interpretation of
phMRI. In this study we characterized ketamine induced BOLD signal changes in
the hippocampus in a parallel electrophysiology and phMRI setup in rodent
brain. Ketamine 25mg/kg i.p administration evoked both neural activity decrease
(multi-unit activity and local field potential) and negative BOLD response
(NBR) that was moderately correlated. To the best of our knowledge this is the
first study to investigate drug-induced negative BOLD changes and its
underlying neuronal activity changes. Our results suggest that drug-induced BNR
reflects reduced neural activity.
1600. Gradient-Echo
and Spin-Echo BOLD FMRI of Rat Spinal Cord – Insight Into Its Hemodynamic
Response to Neuronal Activity
Fuqiang Zhao1, Denise Welsh1,
Xiangjun Meng1, Mangay Williams1, Jacquelynn J. Cook1,
Alise S. Reicin1, Richard Hargreaves1, Donald S. Williams1
1Imaging Department, Merck Research
Laboratories, West Point, PA, USA
The mechanisms of hemodynamic response to neuronal
activity in spinal cord have not been clearly elucidated. Whether the
hemodynamic response in spinal cord is similar to that in brain is unknown. In
this study, spin-echo and gradient-echo BOLD fMRI were performed in the rat
cervical spinal cord to answer this question. Based on different vessel size
dependence of SE and GE BOLD signals, by comparing the SE and GE BOLD measured
by EPI, the vasculature involved in BOLD fMRI response in the cortex has been
investigated. In this study, GE and SE BOLD measurements in cervical spinal
cord of rat were performed. The stimulation-induced relaxation rate ratio ÄR2*
/ ÄR2 for GE vs SE is 1.25 / 0.35 =3.52, which is consistent with the ratios of
3.3-4.0 observed in various cerebral cortical regions. The similarity of these
ratios between spinal cord and cortex supports the concept that the hemodynamic
response and the vasculature of the spinal cord are similar to those of cerebral
cortex.
1601. Simultaneous
FMRI and Field Potential Measurements of Epileptic Seizures in Rat Using RASER
Pulse Sequence
Antti Markku Airaksinen1, Juha-Pekka Niskanen1,2,
Joanna Katariina Huttunen1, Ryan Chamberlain3, Michael
Garwood3, Asla Pitkänen4,5, Olli Gröhn1
1Department of Neurobiology, A. I.
Virtanen Institute for Molecular Sciences, University of Kuopio, Kuopio,
Finland; 2Department of Physics, University of Kuopio, Kuopio,
Finland; 3Center for Magnetic Resonance Research and Department of
Radiology, University of Minnesota Medical School, Minneapolis, MN, USA; 4Epilepsy
Research Laboratory, A. I. Virtanen Institute for Molecular Sciences,
University of Kuopio, Kuopio, Finland; 5Department of Neurology,
Kuopio University Hospital, Kuopio, Finland
fMRI of medetomidine anesthetised rats was performed
using RASER and simultaneous FP measurements in response to kainic acid (KA)
induced seizures. The image distortion caused by measuring electrode was
clearly seen in EPI image, whereas no artefact was seen in the RASER image.
Robust BOLD responses were observed in the hippocampus during KA induced
seizures. The recurrent epileptic seizures were detected in the FP signal after
KA injection. The presented combination of deep electrode FP measurements and
fMRI in medetomidine anesthesia that is not suppressing KA induced seizures
provide a unique tool for studying abnormal brain activity in rat.
1602. Comparison
of Functional Activation in the Temporal Lobe of Awake and Anesthetized Monkeys
Jozien Goense1, Hellmut Merkle2,
Nikos Logothetis1,3
1Max-Planck Institute for Biological
Cybernetics, Tuebingen, Germany; 2NIH/NINDS, Bethesda, MD, USA; 3University
of Manchester, Manchester, UK
The fMRI response to a movie stimulus was compared in
the ventral visual pathway of awake and anesthetized macaques. The ventral
visual stream is essential for object recognition and memory, and in awake
monkeys large swaths of the pathway are activated. In anesthetized monkeys the
temporal lobe also shows large areas of activation, corresponding to the areas
in awake monkeys. It is reported difficult to elicit activation beyond early
sensory areas, but our results show robust activation high in the visual
pathway in areas involved in object recognition. The robust activation seen
here is possibly due to the higher CNR at 7T.
1603. Assessment
of Rat Barrel Cortex BOLD Responses After Trigeminal Nerve Stimulation. on the
Linearity of BOLD FMRI Changes Against Neuronal Activity in the Barrel Cortex
Nathalie Just1,2, Stephane Germain1,2,
Martin Lauritzen3,4, Rolf Gruetter1,2
1LIFMET, CIBM, EPFL, Lausanne,
Switzerland; 2Department of Radiology, UNIL and HUG, Lausanne and
Geneva, Switzerland; 3Department of Clinical Neurophysiology,
Glostrup Hospital, Glostrup, Denmark; 4Department of Medical
Physiology, Panum Institute and University of Copenhafen, Copenhagen, Denmark
The present study examined the BOLD fMRI response of the
rat barrel cortex upon trigeminal nerve stimulation. BOLD changes as a function
of current intensity and stimulus frequency were measured under α
-chloralose anesthesia. The BOLD responses showed non-linear behavior as a
function of current intensity and stimulus frequency that can be compared to
the non-linear patterns found for cerebral blood flow and local field
potentials measured in the barrel cortex as a function of the same stimulus
parameters and stimulation model. Linear coupling between the neuronal and BOLD
responses cannot be generalized for every condition or brain region.
1604. Unexpected
BOLD Behavior at 11.7 Tesla: A Comparison of Experimental Data with the
Integrative BOLD Signal Model
Joerg Ulrich Seehafer1, Kamil Uludag2,
Daniel Kalthoff1, Tracy Deanne Farr1, Mathias Hoehn1
1In-vivo-NMR Laboratory,
Max-Planck-Institute for Neurological Research, Cologne, Germany; 2Hochfeld Magnetresonanz Zentrum, Max-Planck-Institute for Biological
Cybernetics, Tübingen, Germany
Synopsis: This fMRI study presents experimental data and
theoretical consideration about the unexpected BOLD behavior at high magnetic
field strengths greater than 7.0 Tesla. Experimental SE- and GE-EPI data at 7.0
and 11.7 Tesla did not show an increase of BOLD contrast with field strength.
The Integrative BOLD Signal Model delivers a possible explanation, namely the
decrease of extravascular contributions from venules and arterioles.
Furthermore, these predictions are compared to experimental data. It is shown,
that the Integrative BOLD Signal Model can describe our data and is giving new
perspectives to high field fMRI, which are of definite interest to future
experiments.
1605.
High
Resolution BOLD-FMRI of the Auditory System in Rats
xin Yu1, Artem Goloshevsky1,
Stephen Dodd1, Afonso Silva1, Alan Koretsky1
1National Institutue of Neurological
Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
There is growing interest in using MRI to study
plasticity in the rodent brain. The auditory system has been important for
studies of sensory plasticity. Previously, experience-dependent plasticity
changes in the auditory midbrain were characterized with activation induced
manganese-enhanced MRI (MEMRI). However, cortical reorganization could not be
mapped with MEMRI. In this work, the auditory cortex and midbrain were mapped
with BOLD-fMRI in rats anesthetized with propofol. 3D EPI images with 200
micron isotropic resolution was obtained in reasonable times. This work will
enable analysis of interaction between the auditory midbrain and cortex under
conditions where plasticity occurs.
1606.
Multi-Parametric
Classification of FMRI-Activated Voxels Using Venous Vessel-Size, BOLD Latency
and Susceptibility-Weighted Imaging
Thies H. Jochimsen1, Harald E. Möller1
1Max Planck Institute for Human Cognitive
and Brain Sciences, Leipzig, Sachsen, Germany
Several strategies to increase the spatial specifity of
BOLD-based fMRI by excluding the signal of large veins were combined into a
single set of experiments in order compare their effectiveness. In particular,
the BOLD latency, venographic intensity and venous vessel size of activated
voxels was analyzed using a cluster and correlation analysis. The relatively
good mutual correlation of venous vessel size, latency and venographic
intensity suggests that these parameters can be used equally well to
discriminate large veins.
1607. Feasibility
of Detecting Differential Layer Specific Activations in Humans Using SE BOLD
FMRI at 7 T
Essa Yacoub1, Kâmil Ugurbil2,
Cheryl A. Olman1
1Center For Magnetic Resonance Research,
University of Minnesota, Minneapolis , MN, USA; 2Center For Magnetic
Resonance Research, University of Minnesota, Minneapolis, MN, USA
Studying layer-dependent neural activity is important
because in all species cells, cortical afferents and projection neurons are
arranged with reference to different depths in the gray matter. The
investigation of layer specific functional activation in humans has been
demonstrated at 3 T. Differential layer specific activation has not been
demonstrated in any model. High field magnets have proven beneficial for fMRI
with respect to spatial specificity and functional sensitivity, offering
significant advantages over lower fields. In this work we demonstrate the
potential of high field fMRI to observe layer specific activations as well as
possible changes in these activations.
1608.
High
Resolution Auditory FMRI at 7 T
Wietske van der Zwaag1,2, Eleanora Fornari3,
Philippe Maeder3, Rolf Gruetter4,5
1LIFMET, EPFL , Lausanne, VD,
Switzerland; 2Radiology, UNIL, Lausanne, VD, Switzerland; 3Radiology,
CHUV, Lausanne, VD, Switzerland; 4LIFMET, EPFL, Lausanne, VD,
Switzerland; 5Radiology , UNIL, UNIG, Lausanne, Geneva, Switzerland
Auditory fMRI at ultra high field can be challenging
because of the extended stray magnetic field. Here, we use an actively shielded
head-only 7 T system and a gradient insert to allow good quality sound delivery
to the subjects. Sparce fMRI data with a resolution of 1.5*1.5*2 mm was
acquired during a word recognition task. Activation in the primary auditory
cortex (planum temporalis, Superior temporal gyrus, Heshl’s gyrus) and voice
and sentence processing was consistently found and was spatially constricted to
the gray matter.
1609. Latency
and Echo-Time Dependence of the GRE-BOLD Signal in High-Resolution FMRI
Stefan Hetzer1, Toralf Mildner1,
Thies H. Jochimsen1, Karsten Müller1, Torsten Schlumm1,
Harald E. Möller1
1Max Planck Institute for Human Cognitive
and Brain Sciences, Leipzig, Germany
The relation between amplitude and latency of the BOLD
signal was studied at 3T by use of high-resolution fMRI employing a center-out
EPI sequence that allowed a minimum TE of 2 ms. The measured relaxation rate
change δR2* during visual stimulation, i. e. the slope of the linear fit
of the TE dependence and the corresponding intercept were found to increase
with the BOLD latency. The δR2* increase over the total range of the BOLD
latency was between 40 and 70%. In general, δR2* increased with image
resolution which points to an underestimation of δR2* in low-resolution
fMRI studies.
1610. On
the Cross-Modal Relationship Between FMRI and EEG
Zhongming Liu1, Nanyin Zhang2,3,
Cristina Rios1, Lin Yang1, Wei Chen2,3, Bin He1
1Department of Biomedical Engineering,
University of Minnesota, Minneapolis, MN, USA; 2Center for Magnetic
Resonance Research, University of Minnesota Medical School, Minneapolis, MN,
USA; 3Department of Radiology, University of Minnesota Medical
School, Minneapolis, MN, USA
To test the linearity of the neurovascular coupling
requires quantifying electrophysiological and hemodynamic signals before
comparing them against a linear function. The variety of ways for quantifying
multimodal signals may partly account for the existing disagreements on the
linearity of the neurovascular coupling. In the present study, we modeled the
cascaded interactions between stimuli and neural and vascular responses, and
proposed a pair of quantitative measures for assessing the relationship between
electrophysiological and hemodynamic signals. The neurovascular coupling in the
human primary visual cortex was investigated through visual stimulation
experiments using a variable visual contrast. Our theoretical and experimental
results suggest a linear relationship between the BOLD effect size and the
integrated power of the neural impulse response. This is regardless of the
presence of the vascular nonlinearity attributed to the vascular refractory effect,
since this nonlinear effect can be compensated by using the vascular refractory
tuning function.
1611. A
Comparison of Quantitative Perfusion Measurements and MEG Phenomena
Claire Stevenson1, Matthew Brookes1,
Peter Morris1, Susan Francis1
1SPMMRC School of Physics and Astronomy,
The University of Nottingham, Nottingham, Nottinghamshire, UK
ASL techniques provide a quantitative measurement of
local tissue blood flow, and this may be more directly related to neuronal
activation, as measured by MEG, than BOLD. The correlation between MEG
phenomena and the changes in cerebral blood flow (CBF), T2* and BOLD, are
investigated for a graded visual stimulus. Spatial separation of ASL and BOLD
peaks and differences in stimulus related modulations suggest a decoupling of
local perfusion and activity measured with BOLD. CBF shows a monotonic increase
in amplitude with increasing stimulus contrast, similar to the visual evoked
field and γ activity, however β activity is not modulated.
1612. A
Comparison of Source Localisation Techniques in Concurrent EEG/fMRI
Matthew J. Brookes1, Karen J. Mullinger1,
Gerða Björk Geirsdóttir1, Claire M. Stevenson1, Richard
Bowtell1, Peter G. Morris1
1Sir Peter Mansfield Magnetic Resonance
Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, Nottinghamshire, UK
Simultaneous EEG/fMRI is an attractive means by which to
investigate human brain function in vivo. Recent work has shown that the
spatial location of changes in electrical neuronal activity can be determined
using EEG data recorded during simultaneous fMRI. Further, such source
localisation techniques can reduce significantly the level of interference in
EEG timecourses caused by the MR scanner. In this work we compare source
localisation methods. We show quantitative evidence that both beamformer and
dipole fitting can be used for accurate source localisation; however the
beamformer is markedly more effective at reducing interference in an EEG time course
estimate.
1613.
Simultaneous
EEG/fMRI Phantom Experiments with a Realistic Neuronal Signal
Gerða Björk Geirsdóttir1, Matthew J. Brookes1,
Karen J. Mullinger1, Winston X. Yan1, Peter G. Morris1,
Richard W. Bowtell1
1Sir Peter Mansfield Magnetic Resonance
Centre, The University of Nottingham, Nottingham, Nottinghamshire, UK
The large artefacts in the EEG signal produced by rapid
gradient switching and pulsatile blood flow hamper EEG/fMRI measurements.
1614. Visual
BOLD-FMRI with 32 Channel Phased-Array Coil at 3.0T MRI System: Comparison with
12 Channel Coil
Jianqi Li1, Lijia Wang1, Yi Wang2,3
1Shanghai Key Laboratory of Functional
Magnetic Resonance Imaging and Department of Physics, East China Normal
University, Shanghai, China; 2Department of Biomedical Engineering,
Cornell University, Ithaca, NY; 3Department of Radiology, Weill
Medical College of Cornell University, New York, USA
A 32-channel 3T receive-only phased-array head coil was
recently developed for human brain imaging and showed significantly increased
image signal-noise-ratio in the cortex. In this study, the activated volume in
visual BOLD-fMRI was evaluated at different spatial resolutions with a 32
channel WIP phased-array coil and a commercial 12 channel coil at 3T MRI
system. It was found that the 32 channel coil is beneficial for fMRI at high
spatial resolution but may not provide significant benefit at lower spatial
resolution.
1615. Dependencies
of the Negative BOLD Signal in Primary Somatosensory Cortex on Stimulation
Intensity and Duration
Katharina Schaefer1, Henrik Bo Wiberg Larsson1,
Martin Lauritzen2,3
1Department of Clinical Physiology and
Nuclear Medicine, Glostrup Hospital, Glostrup, Denmark; 2Department
of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; 3Department
of Medical Physiology, The Panum Institute, University of Copenhagen,
Copenhagen, Denmark
Unilateral electrical stimulation of the somatosensory
system was performed in high and low stimulation intensities. High intensity
stimulation elicited a positive contralateral and a negative ipsilateral BOLD
signal in the primary somatosensory cortex (SI). Additionally a spatially
extensive negative BOLD signal was found in the parietal and occipital cortex.
This negative BOLD signal might represent functional inhibition of the sensory
map of the human body.
1616. Further
Evidence of Initial BOLD Dip Across Cortico-Thalamic Visual Network During
Visual Stimulation
Nanyin Zhang1, Xiao-Hong Zhu1, Yi
Zhang1, Wei Chen1
1Radiology, University of Minnesota, Minneapolis, MN, USA
The initial dip in the BOLD signal is controversial. In
this study we explored the existence and generality of initial dip using a
paired-stimulus paradigm. We observed that for the pixels showing initial dip
to the first stimulus, they also show obvious initial dip to the second
stimulus. The delay between the two dips correlates with the delay between the
stimulation pair. Moreover, our study demonstrates that initial dip also exists
in sub-cortical brain areas such as thalamus, and suggests the possibility to
apply initial dip for functional mapping of the entire cortico-thalamic visual
network with improved specificity.
1617. Integrated
Magnetic Field Variation Correction for Quantitative FMRI
John David Dickson1, Guy B. Williams2,
Sally Georgia Harding2, Thomas Adrian Carpenter2, Richard
E. Ansorge1
1Cavendish Laboratory, Cambridge University, Cambridge, Cambs, UK; 2Wolfson Brain Imaging Centre, Cambridge University, UK
It is possible to measure the venous Cerebral Blood
Volume (vCBV) and Oxygen Extraction Fraction (OEF) by quantifying the BOLD
signal. If this is to be used in a routine clinical setting then the scan times
must be kept low. This study shows how the need for an external fieldmapping
acquisition can be avoided using an integrated algorithm based on the phase
data. These methods are shown to provide realistic measures of OEF and vCBV in
a healthy volunteer.
1618.
Susceptibility
Artefacts in Experiments Involving Changes in Inspired Oxygen Level
Nicholas Paul Blockley1, Ian D. Driver2,
Susan T. Francis2, Joseph A. Fisher3, Penny A. Gowland2
1SPMMRC, School of Physics and Astronomy,
University of Nottingham, Nottingham, UK; 2SPMMRC, School of Physics
and Astronomy,, University of Nottingham, Nottingham, UK; 3University
of Toronto, Toronto, Ontario, Canada
Changes in oxygen concentration in the nasal cavity
during a hyperoxic challenge cause a variation in the susceptibility gradient
at the sinus-tissue interface. We found that this caused a measurable dipolar
pattern of signal change in slices inferior to the corpus callosum along with
more subtle changes in superior slices. This artefact will be
1619.
SNR
Optimization of MION FMRI in the Anaesthetized Monkey Using an 8-Channel
PA-Coil and Accelerated Imaging
Thomas Janssens1, Wim Vanduffel1,
Hauke Kolster1
1Lab for Neuro- and Psychophysiology, KU Leuven,
Leuven, Belgium
In high-resolution awake monkey fMRI studies contrast
agents (MION) are used to improve CNR compared to BOLD measurements. MION,
however, decreases SNR significantly. To mitigate this issue, we use an
8-channel coil, accelerated data acquisition, and regularized SENSE
reconstruction. In addition to a factor of 1.5 gain in SNR in cortex due to the
increased sensitivity of the PA coil, we show that for accelerated imaging a
minimization of TE and TR leads to an additional gain factor of 1.6 in SNR, to
a total of 2.4 above a single loop coil, which can be used to further increase
resolution.
1620.
Modeling
the Effect of Changes in Arterial Blood Volume on the BOLD Signal
Richard Buxton1
1University of California, San Diego, La Jolla, CA, USA
A model for the BOLD effect was extended to include the
role of arterial CBV changes, and compared with the simpler Davis model that is
typically used in the calibrated BOLD experiment to analyze combined CBF/BOLD
data and extract an estimate of the change in CMRO2 with brain activation.
Simulations indicate that the Davis model is reasonably robust, but tends to
underestimate CMRO2 changes when arterial CBV changes are large. For this
reason, this potential source of error cannot reconcile calibrated BOLD
measurements with some PET measurements finding much smaller changes in CMRO2.
1621.
Quantitative
Combined ASL/BOLD Imaging: Implications for the Interpretation of the BOLD
Post-Stimulus Undershoot
Valerie Griffeth1, Aaron Simon1,
Joanna Perthen1, Richard Buxton2
1University of California, San Diego; 2University of California, San Diego, La Jolla, CA, USA
Two theories for the mechanism of the BOLD post-stimulus
undershoot seen with brain activation are a slow recovery of CBV or a slow
recovery of CMRO2. Dual-echo spiral ASL measurements of responses to a visual
stimulus were analyzed to determine apparent M0 and R2* values for both the
total signal and the tagged component delivered by arterial flow. In addition
to CBF and BOLD responses, that allowed calculation of CMRO2 with a calibrated
BOLD approach, a CBV-effect (similar to VASO) was also isolated. In this study
the BOLD post-stimulus undershoot was not associated with a slow recovery of
CBV nor with a slow recovery of CMRO2. Instead, it was consistent with a
vascular origin due to a slight undershoot of CBF.
1622. Balloon
Modeling of BOLD Responses in Children with Sickle Cell Anemia (SCA)
Robert Ogg1, Ping Zou1, Winfred
Wang1, Russel Ware1, Kathleen Helton1
1St. Jude Children's Research Hospital, Memphis, TN, USA
Elevated resting cerebral blood flow in SCA patients may
decrease detection of activation with fMRI. We used fMRI during visual
stimulation to characterize the hemodynamic responses in children with SCA.
Detection, magnitude of BOLD signal, and activation volume were significantly
lower in SCA patients than control subjects. Modeling showed that differences
in the BOLD response were accounted for by differences in CBF response, oxygen
extraction fraction during stimulation, CBV, and vascular mechanical
characteristics. These findings suggest that the balloon model is useful to
relate altered BOLD response to important clinical and physiological parameters
in patients with SCA. |
|
fMRI Calibration Techniques |
Exhibit Hall 2-3
Monday 14:00-16:00 |
|
1623. Theoretical
Prediction of Parameter Stability in Quantitative BOLD MRI: Dependence on SNR
and Sequence Parameters
Maja Cornelia Sohlin1, Lothar R. Schad2
1Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany; 2Computer Assisted Clinical
Medicine, Faculty of Medicine Mannheim, University of Heidelberg, Germany
A static dephasing model that analytically connects BOLD
signal to hemodynamic parameters can be used to map the blood oxygenation level
(Y) and venous cerebral blood volume (vCBV) in the brain. In this work, the
accuracy of the method is tested by means of simulations and measurements. The
result shows that accurate fitting can only be performed at high SNR (>500).
A separate quantization of the vCBV would allow a stable method to quantify
blood oxygenation even at low SNR (<200).
1624. Comparison
of Methods Used in Calibrated FMRI
Jerod Michael Rasmussen1, Sumiko Abe1,
Liv C. McMillan1, Josef Pfeuffer2, Jessica Turner1,
Function BIRN3
1University of California, Irvine, Irvine, CA, USA; 2Siemens Medical Solutions; 3www.nbirn.net
A comparison of calibration methods and their effect on
the strength of correlations between: Cerebral Blood Flow (CBF), a hypercapnic
task and a cognitive task. Calibration methods compared are the different
permutations between active state CBF, resting state CBF, composite maps of
hypercapnic breath holding and composite maps of a cognitive sensorimotor task.
Each composite map has a highly temporally correlated interleaved ASL/BOLD and
a traditional EPI BOLD acquisition version for comparison. Results demonstrate
that using the active CBF ascertained from the interleaved ASL/BOLD acquisition
method has the highest potential for calibration.
1625.
Calibration
of ASL Quantification Based on Hypercapnia and Sensory Motor Activation
Sumiko Abe1, Jerod Michael Rasmussen1,
Jessica Turner1, L. Ch McMillan1, Josef Pfeuffer2,
F. BIRN3
1University of California, Irvine, Irvine, CA, USA; 2Siemens Medical Solutions USA Inc., USA; 3www.nbirn.net
To evaluate the feasibilities of quantifying cerebral
perfusion with dynamic magnetic resonance artery spin labeling (ASL) sequence,
we studied 4 subjects under BH and CB activities for evaluating the
correlations of CBF with CMRO2 and M coefficient (i.e. CBV) with CMRO2. Based
on analysis results, we confirmed that BH task increased CBF and it is not
significant or weak effects to CMRO2 changes. CB task doesn¡¯t increase the GM
CBF as much as BH task but CMRO2 is increased significantly due to CBF and M
increasing in specified areas such as vision and motor areas.
1626. Validation
of Optical Measurements of Cerebral Blood Flow and Volume with SPION and ASL
FMRI: Implications for CMRO2 Changes During Hypercapnia
Stefan A. Carp1, David A. Boas1,
Maria A. Franceschini1, Bruce Ro Rosen1, Young Ro Kim1
1Athinoula Martinos Center for Biomedical
Imaging/ Massachusetts General Hospital, Charlestown, MA, USA
Direct measurement of variations in the cerebral
metabolic rate of oxygen (CMRO2) can be very useful in the study of
neuro-vascular coupling in various disease states. We attempt to validate
near-infrared optical measurements of cerebral blood volume and blood flow in a
rat model during hypercapnia using functional MRI, with the purpose of
developing a non-invasive method for measuring relative CMRO2 changes.
1627. The
BOLD-Specific Flow-Volume Relationship During Hypercapnia and Hypocapnia
Jean J. Chen1, G. Bruce Pike1
1McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada
Grubb’s power-law (with α =0.38) has been
extensively used in fMRI, and the equivalence of this flow-volume relationship
observed under neuronal activation and hypercapnia is instrumental in CMRo2
estimation using calibrated BOLD. However, Grubb’s α was based on
measurements of total δCBV instead of the BOLD-specific venous δCBV.
Moreover, the comparability of the venous flow-volume relationship under focal
and CO2-induced hyperemia has not been established. We used the
venous refocusing for volume estimation (VERVE) technique to measure the venous
flow-volume relationship in humans under graded hypercapnia and hypocapnia, and
found α to be 0.19±0.04, equivalent to findings for neuronal activation.
1628. T2*
Responses in Grey Matter Nulled and VASO FMRI Images During Visual Stimulation
in Hypoxic Hypoxia
Yuji Shen1, Ida Mengyi Pu2, Y-C L.
Ho3, R Vidyasagar4, Xavier Golay5, Risto A.
Kauppinen6
1School of Medicine, University of
Birmingham, Birmingham, UK; 2Department of Computing, Goldsmiths,
University of London, London, UK; 3Department of Neuroradiology,
National Neuroscience Institute, Singapore; 4MARIARC, University of
Liverpool, Liverpool, UK; 5Department of Brain Repair and
Rehabilitation, Institute of Neurology, University College London, London, UK; 6Biomedical
NMR Research Center, Dartmouth Medical School, Hanover, NH 03755, USA
Grey matter nulled (GMN) and VASO fMRI methods were used
to measure CBV and T2* changes associated with brain activation in different
parenchymal compartments, i.e., blood and extravascular tissues. fMRI
experiments were performed in normoxia and mild hypoxic hypoxia. It was
observed that while the CBV-weighted signal changes to visual stimulation
remain similar in both normoxia and hypoxia, the activated areas are significantly
reduced by 72±22% in GMN and 66±23% in VASO fMRI in hypoxia. Interestingly, T2*
decreased in GMN active volume during hypoxia in contrast to increased T2* in
normoxia, while T2* in VASO-activated areas increased in both conditions.
1629. Vasoreactivity
Mapping Using Dynamic (C)O2 Enhanced MRI
Stefanie Remmele1, Julien Sénégas1,
Andreas Müller2, Ingobert Wenningmann3, Frank Träber2,
Hans Clusmann4, Hannes Dahnke5, Jürgen Gieseke5,
Sebastian Flacke2, Winfried A. Willinek2, Hans H. Schild2,
Petra Mürtz2
1Philips Research Europe, Hamburg,
Germany; 2Department of Radiology, University of Bonn, Bonn,
Germany; 3Department of Anesthesiology, University of Bonn, Bonn,
Germany; 4Department of Neurosurgery, University of Bonn, Bonn, Germany;
5Philips Medical Systems, Hamburg, Germany
The dR2* response of a tumor to inhalation of O2- or
CO2-enriched air is known to give insight into blood oxygenation and
vasoreactivity. This work demonstrates that tumors may differ from normal
tissue in the amplitude but also the temporal behavior (delay, velocity) of the
response. We further propose an approach to robust dynamic (C)O2-enhanced MR
measurement, analysis and depiction of the response in high-resolution
vasoreactivity maps. The technique was evaluated in 5 patients with cerebral
tumors.
1630. The
Ratio of CBF to CMRO2 Change with Brain Activation Increases with Increasing
Stimulus Amplitude in Human Visual Cortex
Christine Liang1, Beau Ances1,
Joanna Perthen1, Joy Liau1, Giedrius Buracas1,
Susan Hopkins1, Richard Buxton2
1University of California, San Diego; 2University of California, San Diego, La Jolla, CA, USA
A calibrated-BOLD method was used to test whether the
CBF/CMRO2 coupling ratio n, defined as the ratio of the fractional changes in
CBF and CMRO2 with brain activation, changes with stimulus intensity. In human
visual cortex, the ratio of the CBF and BOLD responses decreased with
increasing contrast of a flickering checkerboard, consistent with n increasing from
~1.7 to ~2.3. This steady increase in CBF, with a rolling off of CMRO2, may be
consistent with CBF driven by the initial excitatory phase of neural activity
while CMRO2 responds to the overall energy needs of the full evoked response.
1631.
Grey
& White Matter Cerebrovascular Reactivity Response to Hypercapnia at 3
& 7T
Ian David Driver1, Nicholas P. Blockley2,
Susan T. Francis1, Penny A. Gowland1
1SPMMRC, School of Physics and Astronomy,
University of Nottingham, Nottingham, UK; 2SPMMRC, School of Physics
and Astronomy, University of Nottingham, Nottingham, UK
The BOLD signal response to mild hypercapnia provides
useful information about the BOLD haemodynamic response and has applications in
cerebrovascular diseases. Typical problems in previous experiments include poor
information regarding end-tidal gas concentrations and a coupling between CO2
and O2 levels. This study used high resolution imaging to reduce
partial volume effects and a system providing independent control of end tidal
CO2 and O2. Rapid monitoring of end-tidal CO2
enabled correlation of the BOLD signal against actual hypercapnic level at each
time point rather than prescribed level of hypercapnia. This provided
sufficient sensitivity to observe both grey and white matter reactivity in
response to hypercapnia.
1632.
Sinusoidally
Modulated CO2 Stimulus Provides New Temporal Information on
Cerebrovascular Reactivity
Nicholas Paul Blockley1, Ian D. Driver2,
Susan T. Francis2, Joseph A. Fisher3, Penny A. Gowland2
1SPMMRC, School of Physics and Astronomy,
University of Nottingham, Nottingham, UK; 2SPMMRC, School of Physics
and Astronomy,, University of Nottingham, Nottingham, UK; 3University
of Toronto, Toronto, Ontario, Canada
We present a new method for generating cerebrovascular
reactivity maps.
1633. Feasibility
of Estimating CBF/CMRO2 Coupling with a Calibrated-BOLD Method When the Driving
Stimulus Is Unknown
Aaron Simon1, Valerie Griffeth1,
Joanna Perthen1, Richard Buxton2
1University of California, San Diego; 2University of California, San Diego, La Jolla, CA, USA
The calibrated BOLD method provides a quantitative
measurement of CBF/CMRO2 coupling during brain activation. The analysis is
typically applied to a region of interest (ROI) selected based on correlation
with a known stimulus. We tested the feasibility of using just the coherence of
the CBF and BOLD signals measured simultaneously with a dual-echo ASL method to
identify an active ROI, with no prior knowledge of the driving stimulus. In
human data with a visual stimulus, the CBF/BOLD coherence approach and the
standard model correlation approach gave ROI estimates of CBF/CMRO2 coupling
that differed by only 7%. This opens the possibility of measuring CBF/CMRO2
coupling with more complex or naturalistic stimuli, supporting a wider range of
application of the calibrated-BOLD method.
1634.
An
Alternative Technique for Measuring Cerebrovascular Reactivity; Comparing Cued
Deep Breathing Hypocapnia with Inspiration of Carbon Dioxide
Molly Gallogly Bright1,2, Daniel P. Bulte2,
Peter Jezzard2, Jeff H. Duyn1
1Advanced MRI Section, LFMI, NINDS,
National Institutes of Health, Bethesda, MD, USA; 2FMRIB Centre,
Department of Clinical Neurology, University of Oxford, Oxford, UK
Recently we introduced a novel respiratory technique,
cued deep breathing (CDB), which induces robust BOLD signal decreases. The
strong, short-lived response to CDB allows for whole-brain spatial and temporal
characterization of cerebrovascular reactivity, and CDB is suitable for a broad
range of clinical situations. We have directly compared the quantitative
effects on end-tidal gas levels and BOLD signal of CDB and a traditional
hypercapnia 4% CO2 gas challenge. CDB induced up to 7.0±0.7 mmHg decreases in
end-tidal CO2 and the resulting reactivity maps show good correlation with the
CO2 study, indicating CDB offers easy access to similar information.
1635. Dependence
of BOLD Signal Amplitude on Baseline Venous Oxygenation and Cerebral Blood Flow
Joy Liau1, Youngkyoo Jung2, Anna
Leigh Rack-Gomer3, Thomas Liu4
1UC San Diego Center for Functional MRI,
La Jolla, CA; 2UCSD Center for fMRI, La Jolla, CA; 3UCSD
Center for FMRI, La Jolla, CA; 4UC San Diego Center for Functional
MRI, La Jolla, CA, USA
Prior studies have shown a strong correlation across a
sample of healthy subjects between the BOLD signal amplitude and measures of
baseline venous oxygenation. In addition, a significant correlation has been
shown between baseline venous oxygenation and cerebral blood flow (CBF).
However, while some studies have found a significant correlation between BOLD
signal amplitude and baseline CBF, others have not. In this study we
demonstrate that the correlation between BOLD signal amplitude and baseline CBF
depends on the gray matter volume fraction of the voxels used to compute the
baseline CBF measures.
1636. Inter-Subject
Variability in Hypercapnic Normalization of the BOLD FMRI Response
Joy Liau1, Thomas Liu2
1UC San Diego Center for Functional MRI,
La Jolla, CA; 2UC San Diego Center for Functional MRI, La Jolla, CA,
USA
Hypercapnic normalization has been proposed as a method
for reducing inter-subject variability in the amplitude of the BOLD fMRI
signal. Some prior studies have reported a decrease in variability, while
others have found an increase. Here we show that the presence of an intercept
term in the relation between the functional and hypercapnic BOLD responses
results in a systematic bias term in the normalized response that can lead to
increased inter-subject variability. An alternate approach that treats the
hypercapnic BOLD response as a covariate can be used to minimize this bias term
and reduce inter-subject variability in the normalized response.
1637.
Stress
Testing the Brain at 7T with Breath Holding
Hans Hoogduin1, Lars Bosboom1,
Mandy Conijn1, Willem Mali1, Peter Luijten1
1University Medical Center, Utrecht, Netherlands
Breath holding can provide information on
Cerebrovascular Reactivity when combined with BOLD fMRI. The possibilities of
the method are explored in healthy volunteers at 7T. The increased BOLD
contrast of this field strength provides a step towards clinical use of the method.
1638. Breath
Hold Task Significantly Correlates with Cognition Across Run and Visit
Jerod Michael Rasmussen1, Sumiko Abe1,
Liv C. McMillan1, Josef Pfeuffer2, Jessica Turner1,
Function BIRN3
1University of California, Irvine, Irvine, CA, USA; 2Siemens Medical Solutions; 3www.nbirn.net
The hypercapnic breath hold task is a non-invasive
measurement of Cerebral Blood Flow (CBF) and has been shown to reduce variance
across subjects through calibration. Subject wise correlations between breath
hold activity and working memory are calculated across visit and run.
Correlations were found to be positive and strong demonstrating the
physiological coupling between CBF and the Blood Oxygenation Level Dependent
(BOLD) signal. These results suggest confounds of run and visit can be
accounted for in a calibrated model.
1639. Study
of Tricarboxylic Acid Cycle Flux Changes in Human Visual Cortex During
Two-Hemifield Visual Stimulation with Different Stimulus Frequency Using In
Vivo 1H-{13C} MRS and FMRI
Fei Du1, Malgorzata Marjanska1,
Xiao-Hong Zhu1, Anjali Kumar2, Elizabeth R. Seaquist2,
Kamil Ugurbil1, Wei Chen1
1Center for Magnetic Resonance Research,
University of Minnesota, Minneapolis, MN, USA; 2General Clinic
Research Center, University of Minnesota, Minneapolis, MN, USA
The coupling relationships among the stimulus-evoked
brain activity, hemodynamic and metabolic responses are critical for
understanding the mechanism underlying fMRI BOLD signal and brain function.
They are, nevertheless, highly debated. One particularly interesting question
is whether the increase in CMRO2 during graded brain activation
follows BOLD and CBF changes. Previously published PET functional study
demonstrated that CMRO2 changes were larger at 4 Hz reversal
frequency (≈18%) than at 8 Hz (≈4%) using checkerboard visual
stimulus despite the opposite trend for CBF changes (≈34% at 4 Hz and ≈46%
at 8 Hz). The present study aimed to re-examine the CMRO2-BOLD
coupling relationship between 4 and 8 Hz visual stimuli by simultaneously
measuring BOLD and the changes of relative oxidative
CMR</sub>glc</sub> in two hemispheric visual cortical regions,
which were stimulated at 4 Hz and 8 Hz, respectively. The results indicate
strong CMRO2-BOLD as well as CMRO2-CBF coupling
relationships in the human brain during graded visual stimulation.
1640. Nulling
the CSF Signal in Quantitative FMRI
John David Dickson1, Guy B. Williams2,
Sally Georgia Harding2, Thomas Adrian Carpenter2, Richard
E. Ansorge1
1Cavendish Laboratory, Cambridge University, Cambridge, Cambs, UK; 2Wolfson Brain Imaging Centre, Cambridge University, UK
Quantifying the BOLD signal allows the measurement of
local blood oxygenation. This could provide a useful tool for the analysis of
cerebral vascular disorder; however the presence of Cerebral Spinal Fluid (CSF)
can confound this process. This study shows how realistic measures of blood
oxygenation can be made in voxels of partial CSF volume by nulling the CSF signal.
This technique, combined with parallel acquisition allows useful data to be
acquired within clinically realistic scan times. |
|
fMR: Connectivity Studies |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
|
1641. Identification
of Functional Changes in Early Alzheimer Disease Using Resting-State FMRI
Xiaowei Song1,2, Ryan D'Arcy1,3,
Andrew Ryan McIntyre1,4, Alma Major1,2, Steven Beyea1,5,
Kenneth Rockwood2,6
1Institute for Biodiagnostics - Atlantic,
National Research Council, Halifax, NS, Canada; 2Medicinie,
Dalhousie University, Halifax, NS, Canada; 3Psychology and
Neuroscience, Dalhousie University, Halifax, NS, Canada; 4Faculty of
Computer Science, Dalhousie University, Halifax, NS, Canada; 5Physics,
Dalhousie University, Halifax, NS, Canada; 6Centre for Health Care
for the Elderly, QEII Health Sciences Centre, Halifax, NS, Canada
In this study, we investigated the low-frequency fMRI
signal fluctuations during a resting phase to identify changes in the brain
associated with AD, using an efficient un-supervised SOM-clustering method.
Results indicate altered spontaneous fMRI fluctuations that suggest increased
functional activation in certain cortical regions and decreased global
functional synchronization connecting many such regions.
1642.
Social
Network Theory Applied to Resting-State FMRI Connectivity Data in the Analysis
of Epilepsy Networks
Xiaohui Zhang1, Fuyuze Tokoglu2, R.
Todd Constable2
1Department of Diagnostic Radiology,
School of Medicine , Yale University, New Haven, CT, USA; 2Department
of Diagnostic Radiology, School of Medicine, Yale University, New Haven, CT,
USA
Epilepsy is a brain disorder with the essential basis of
abnormal cortical and/or subcortical networks. Currently, most of the evidence
of seizure networks come from ictal EEG observations. Resting-state functional
connectivity studies can be helpful to localize abnormal networks and widen the
array and approach of therapeutic options. This study aims to classify
patients¡¯ data from control subjects by characterizing the interictal epilepsy
connectivity networks using social network topology in functional MRI. An
average sensitivity of the 87.5% and specificity of 78.9% were achieved in the
given data set.
1643.
Functional
Subdivision of Corticostriatal Interconnections Visualized by FMRI
Julia M. Boehm1,2, Veit Roessner2,
Peter Dechent1, Juergen Baudewig1
1MR-Research in Neurology and Psychiatry,
University of Goettingen, Goettingen, Germany; 2Department of Child
and Adolescent Psychiatry, University of Goettingen, Goettingen, Germany
Corticostriatal interconnections are thought to be
organized in anatomically and functionally segregated circuits. We attempted
visualization of the pure motor and the associative loop by using a self-paced
finger tapping task performed with either hand separately. Brain regions
involved in both, left and right unimanual movements were identified via
conjunction analysis, a contrast analysis revealed regions behaving movement
side specifically. Coactivation of anterior SMA, pre-SMA and anterior striatum
allowed assignment to associative parts, coactivation of posterior SMA, SMC and
posterior striatum to purely executive parts of corticostriatal
interconnections. We provide a new in-vivo visualization of corticostrial
interconnections using BOLD fMRI.
1644. Impaired
Thalamic Functional Connectivity in Vegetative State Detected by FcMRI
Jingsheng Zhou1,2, Chunming Xie1,
Wenjun Li1, Feng Ling2, Shi-jiang Li1
1Biophysics Department, Medical College of
Wisconsin, Milwaukee, WI, USA; 2Xuanwu Hospital Capital Medical
University, BJ, Beijing, China
The purpose of this study is to investigate the changes of the thalamic
functional connectivity (FC) network between vegetative state (VS) patients and
control subjects. 5 VS patients and 4 healthy control subjects were enrolled.
The averaged voxel time series from the seed Regions of Interest (bilateral
thalamus) were cross-correlated with each voxel time course across the entire
brain. The findings showed that FC in VS patients was significantly lower than
that of control subjects in bilateral posterior cingulate cortex and precuneus.
1645. Disease
State Prediction from Resting State Functional Connectivity
R. Cameron Craddock1,2, Paul Holtzheimer2,
Xiaoping P. Hu3, Helen S. Mayberg2
1School of Electrical and Computer
Engineering, Georgia Institute of Technology, Atlanta, GA, USA; 2Dept.
of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA; 3Dept.
of Biomedical Engineering, Georgia Institute of Technology and Emory
University, Atlanta, GA, USA
Support vector classification is applied to predict
disease state (MDD) from resting state functional connectivity. Additionally
two feature selection methods are proposed that score features based on
reliability. The resulting classifier was able to distinguish MDD from controls
100% of the time. The two reliability based feature selection algorithms
outperform t-test filter and recursive feature elimination methods.
1646.
Interhemispheric
Functional Connectivity of Primary Motor Cortex Is Reduced During Continuous
Performance of an Unilateral Hand Task
Michael Amann1, Jochen Gunther Hirsch1,
Achim Gass1
1Neuroradiology/Neurology, University Hospital Basel, Basel, BS, Switzerland
We investigated the variability and reproducibility both
of the functional connectivity itself in two different cognitive states and of
different statistical analysis methods. Two subjects were examined both in
resting state and during continuous movement of right hand. Connectivity
strength between left and right primary motor cortex (M1) was calculated by the
mean and maximum z-score in M1r. Also, the fraction of correlated voxels was
calculated. Additionally, a voxel-based t-test was done between the two groups
of fcMRI runs. We found a distinct loss in left-right M1 synchrony in both
individuals with all statistical methods and connectivity measures under
investigation.
1647.
Spatiotemporally
Coordinated Activation Detected During Apparent Rest in FMRI
Natalia Petridou1, Cesar Caballero1,2,
Ian Dryden3, Susan Francis1, Penny Gowland1
1SPMMRC, University of Nottingham,
Nottingham, UK; 2School of Computer Science, University of
Nottingham, Nottingham, UK; 3School of Mathematical Sciences,
University of Nottingham, Nottingham, UK
Studies have shown that when apparently at rest the
brain remains active, and is organized into functional networks that exhibit
recurring patterns of activity. Here, we explore the fMRI data time series
using Wiener-deconvolution in combination with a temporal T-statistic. We find
individual spatiotemporally coordinated activation events during apparent rest,
in no particular recurring pattern, but consistent with both individual mental
tasks and/or individual spontaneous movements of the body. Even though the
functional significance has not been elucidated, their presence indicates that
these events can reduce sensitivity in standard fMRI analysis and are an
additional consideration for resting state analysis.
1648. Temporal
Frequency- And Time-Dependent BOLD and CBV FMRI Signals in Cat Visual Areas 17
and 18
Cecil Chern-Chyi Yen1, Mitsuhiro Fukuda2,
Seong-Gi Kim2,3
1Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; 2Radiology, University of Pittsburgh; 3Neurobiology,
University of Pittsburgh
The relationship between neural activity and hemodynamic
1649. Measures
of Resting-State BOLD Connectivity Exhibit an Inverse Dependence on Baseline
CBF
Anna Leigh Rack-Gomer1, Joy Liau1,
Thomas T. Liu1,2
1Bioengineering, University of California
San Diego, La Jolla, CA, USA; 2Radiology, University of California
San Diego, La Jolla, CA, USA
A growing number of fMRI studies have used measures of
resting-state BOLD functional connectivity for the study of cognitive disease.
However, the interpretation of differences in connectivity measures is
complicated by the dependence of the BOLD signal on both neural and vascular
factors. In this study we show that resting-state BOLD connectivity measures
exhibit an inverse dependence on baseline CBF in the motor cortex. These
results suggest that inter-subject differences in baseline CBF may explain a
large part of the inter-subject variance in functional connectivity
measurements.
1650.
Pharmacological
Challenge with the Opioid Analgesic Buprenorphine, But Not Placebo, Enhances
Resting-State Functional Connectivity in the Pain Processing Network
Alexandre Coimbra1,2, Dai Feng2,3,
Adam Schwarz2,4, Jaymin Upadhyay2,5, Lino Becerra2,5,
Richard Baumgartner2,3
1Imaging, Merck Research Laboratories,
West Point, PA, USA; 2Imaging Consortium for Drug Development, Belmont,
MA, USA; 3Biometrics, Merck Research Laboratories, West Point, PA,
USA; 4Lilly Research Laboratories, IN, USA; 5P.A.I.N.
Group, Brain Imaging Center, McLean Hospital, MA, USA
Resting-state functional MRI (fMRI) experiments used to
assess functional connectivity in the Central Nervous System (CNS) have gained
much attention recently [1]. Several groups have reported on the Default Mode
Network (DMN). There have also been reports of changes in functional
connectivity patterns in disease (Alzheimer’s Disease, Schizophrenia,
Depression, Chronic Pain, [1,2,3]). However, little has been done to assess the
effect of pharmacological compounds on functional connectivity parameters. In
the present report we tackle test-retest reliability of resting state measures
of functional connectivity in the DMN and sensitivity of a functional
connectivity endpoint to treatment with an opioid analgesic compound.
1651. Low-Frequency
Respiration Related Signals in Resting State FMRI: A Comparison of End-Tidal CO2
and Respiration Volume Per Time
Kevin Murphy1, Rami K. Niazy1,2, C.
John Evans1, Richard G. Wise1
1Cardiff University Brain Research
Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK; 2Biomedical
Physics Department, King Faisal Specialist Hospital & Research Centre,
Riyadh, Saudi Arabia
Functional connectivity analysis exploits coherent
low-frequency oscillations in the BOLD signal. Fluctuations in arterial CO2
are low-frequency and can confound interpretation of neuronal activity. Two
correction methods that attempt to remove this noise source use end-tidal CO2
and RVT measures to regress breathing-related changes from the BOLD time
series. We show that a lack of similarity between the CO2 and RVT
regressors and the variance explained by them implies that each is measuring a
different portion of the noise related to fluctuations in breathing and
arterial CO2. This suggests that both measurements are required for
accurate removal of such noise.
1652. Static
and Dynamic Characteristics of Cerebral Blood Flow During the Resting State
Qihong Zou1,2, Changwei Wesley Wu1,
Elliot A. Stein1, Yufeng Zang2, Yihong Yang1
1Neuroimaging Research Branch, National
Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA; 2State
Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal
University, Beijing, China
Static and dynamic characteristics of cerebral blood
flow (CBF) during resting state were investigated using a pulsed arterial spin
labeling (PASL) technique. Static resting CBF was significantly higher in the
visual cortex, posterior cingulate cortex, thalamus, insula and medial
prefrontal cortex than average CBF in the brain. The dynamic measurement of CBF
fluctuations showed high correlation (functional connectivity) between
components in the default mode network. The brain regions with high static CBF
also showed high local temporal synchrony and fluctuation amplitude.
1653. Manipulation
of BOLD Resting-State Functional Connectivity and Task Related BOLD FMRI Signal
by Different Anesthetic Dosages
Anthony G. Hudetz1, Bharat B. Biswal2,
Rupeng Li3, James S. Hyde3, Christopher Paul Pawela4
1Department of Anesthesiology, Medical
College of Wisconsin, Milwaukee, WI, USA; 2Department of Radiology,
University of Medicine and Dentistry of New Jersey, Newark, NJ, USA; 3Department
of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA; 4Department
of Plastic Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
The BOLD mechanism for task-related fMRI has been shown
to be directly linked to underlying electrophysiological local field
potentials. The mechanism for BOLD resting-state functional connectivity
magnetic resonance imaging is still a subject of ongoing debate. In this study,
the fMRI response to electrical stimulation frequency was used as an indirect
measure of neuronal activity through anesthetic manipulation in a rat model.
fcMRI acquisitions were also obtained prior to stimulation and compared to the
fMRI results. Differences between the fMRI and fcMRI results under different
anesthetic conditions are noted and discussed.
1654. Spatial
and Subject Variability of Long-Term Respiration Effects in FMRI
Jaemin Shin1, Richard Cameron Craddock2,
Helen Mayberg3, Xiaoping Hu1
1Biomedical Engineering, Georgia Tech /
Emory Univ, Atlanta, GA, USA; 2Electrical and Computer Engineering,
Georgia Tech, Atlanta, GA, USA; 3Psychiatry and Behavioral Sciences,
Emory University, Atlanta, GA, USA
Physiological fluctuations due to respiration are the
dominant source of confounding variability in BOLD fMRI. Recently low-frequency
fluctuations in the depth and the rate of respiration have been identified as a
source of long-term respiration effects. Respiration volume per time (RVT) and
respiration response function (RRF) have been proposed as global models of
respiration effects. The global models implicitly assume that the respiration
effects are space-invariant and subject-invariant. We examined spatial and
subject variability of long-term respiration effects by clustering the
voxel-specific physiological impulse response functions and found that
substantial variability in both regards exists.
1655. Mapping
Functional Connectivity Based on Synchronized CMRO2 Fluctuations During Resting
State
Changwei Wesley Wu1,2, Hong Gu2,
Hanbing Lu2, Elliot A. Stein2, Jyh-Horng Chen1,
Yihong Yang2
1Electrical Engineering, National Taiwan University, Taipei, Taiwan; 2Neuroimaging Research Branch, National
Institute on Drug Abuse, Baltimore, MD, USA
To better interpret the physiology underlying the
functional connectivity, we examined spontaneous fluctuations at the level of
CMRO2 using simultaneously acquired BOLD and perfusion signals under both
resting state and visual-stimulation task. Results show that functional
connectivity based on synchronized spontaneous fluctuations can be detected in
BOLD, perfusion, and also CMRO2 level, while functional connectivity in different
brain networks may be mediated by different conditions. This observation
provides direct evidence supporting the hypothesis that spontaneous fMRI
fluctuations have a metabolic origin.
1656.
Mapping
Functional Connectivity in the Anesthetized Rat Using CBV Vs BOLD
Matthew Evan Magnuson1, Waqas Majeed1,
Shella Keilholz1
1BME, Georgia Institute of Technology/ Emory University, Atlanta, GA, USA
Low frequency fluctuations in the resting state BOLD
signal are commonly used to map functional connectivity in the rat brain. CBV
weighted fMRI can provide increased sensitivity and spatial resolution as
compared to BOLD fMRI. However, few resting state functional connectivity
studies using CBV have been conducted, and no direct comparisons have been made
between functional connectivity measurements made with CBV and BOLD in rats. In
this study we compare cross correlation values and low frequency power spectral
properties of CBV and BOLD.
1657. Resting-State
Functional Connectivity of Primary Somatosensory Cortices in Urethane
Anesthetized Rats
Juha-Pekka Niskanen1,2, Antti Markku
Airaksinen1, Joanna Katariina Huttunen1, Olli Heikki
Gröhn1
1Department of Neurobiology, A.I. Virtanen
Institute for Molecular Sciences, University of Kuopio, Kuopio, Finland; 2Department
of Physics, University of Kuopio, Kuopio, Finland
A major concern in animal fMRI studies is the use of anesthesia. Urethane
produces a long-lasting level of surgical anesthesia and preserves cardiorespiratory
function along with intense skeletal muscle relaxation. We measured fMRI data
from rats under urethane anesthesia during electrical forepaw stimulation and
resting-state for evaluating the feasibility of urethane for resting-state fMRI
experiments. Previous studies in rats have shown that there exists strong
resting-state connectivity between somatosensory cortices under Domitor
anesthesia. Our findings indicate that this bilateral coupling between
hemispheres is also preserved under urethane anesthesia.
1658. fMRI
and Granger Causality Modeling Combined to Study Brain Functional Connectivity
Under Anesthesia
Benito de Celis Alonso1, Elke Metzger1,
Marina Sergejeva1, Andreas Hess1
1Inst. f. Pharmakologie, FAU, Erlangen, Germany
We used Granger Causality Modeling (GCM) combined with
fMRI BOLD data to explain the effects of different anesthetic regimes on brain
function. Results show large BOLD responses to Trapanal when compared with the
three other anesthetic regimes. GCM results show that Trapanal, Isofluorane and
Rompun/Ketanest block connectivity outputs from Medial Thalamus. There is a low
correlation between BOLD and GCM results. We hypothesize this is due to long TR
times used during fMRI acquisition.
1659. Meta-Analyses
of Mathematical Calculation and Default-Mode Networks: Impact on BOLD-Based
FMRI
Tzu-chen Yeh1,2, Tzuyi Hong2,
Wen-Jui Kuo3, Jun-Ren Lee4, Chou-Ming Cheng1,
Jen-Chuen Hsieh1,2, Low-Tone Ho1
1Department of Medical Research and Education,
Taipei Veterans General Hospital, Taipei, Taiwan, Taiwan; 2Institute
of Brain Science, National Yang-Ming University, Taipei, Taiwan, Taiwan; 3Institute
of Neuroscience, National Yang-Ming University, Taipei, Taiwan, Taiwan; 4Department
of Educational Psychology and Counseling, National Taiwan Normal University,
Taipei, Taiwan, Taiwan
The central correlates of mathematical calculation
involved bilateral lateral parietal lobes by BOLD-based fMRI. And spatial
template of the default-mode network (DMN) included extensive medial and
lateral parietal lobes using independent component analysis. Interaction of
calculation-relevant and DMN-modulated regions was proposed for type I error in
the fMRI analysis. In this study, conjunction analysis of (1) meta-analyses
using activation likelihood estimation of twelve published references of
mathematical calculation, (2) spatial template of DMN and parametric fMRI
results of digit naming, one-digit and two-digit addition at a 3T MRI system
was applied to examine the role of lateral parietal regions.
1660.
The
Dependence of ICA Decomposition on Dimensionality in Functional Connectivity
Erik B. Beall1, Katherine A. Koenig1,
Mark J. Lowe1
1Imaging Institute, Cleveland Clinic, Cleveland, OH, USA
The use of ICA in functional connectivity has been
examined by others and a dependence on algorithm, algorithmic parameters and
initialization/convergence has been shown, but the dependence on number of
components has not been looked at beyond the consistency of dimensionality
estimation methods. There are as yet no trusted methods for estimating
dimensionality, so we demonstrate the effect of a range of dimensionality for
four different commonly used algorithms in functional connectivity datasets and
compare results with activation-seeded connectivity for motor, word generation
and working memory tasks. Our results indicate a large effect that varies by
function explored.
1661. Whole
Brain Clustering on the Basis of Resting-State FMRI Data
Hubert Martinus Fonteijn1, David Gordon Norris2
1Department of Computer Science, Centre
for Medical Imaging and Computing, London, UK; 2F.C. Donders Centre
for Cognitive Neuroimaging, Nijmegen, Netherlands
Resting-state fMRI fluctuations show correlation
patterns which to some extent resemble known anatomical connectivity patterns
in the brain. In this abstract we address the question at what level these
fluctuations are organized by using a clustering algorithm on RS fMRI data.
More specifically, an infinite mixture model is fitted on data of 8 from which
automatically determines the number of clusters needed to represent the data
correctly. A highly symmetric pattern of clusters is observed for all subjects
and the number of clusters found in each subject is comparable to the number of
areas used in anatomical parcellation schemes.
1662. Effects
of Transverse Relaxation on Functional Connectivity of Default Mode Network
Changwei Wesley Wu1,2, Jyh-Horng Chen1,
Elliot A. Stein2, Yihong Yang2
1Electrical Engineering, National Taiwan University, Taipei, Taiwan; 2Neuroimaging Research Branch, National
Institute on Drug Abuse, Baltimore, MD, USA
The contrast-to-noise ratio of the spontaneous fMRI
signal fluctuations remains inconclusive. In this work, a multiple
gradient-echo sequence was applied to evaluate and optimize the echo time on
functional connectivity targeting at the so-called default mode network.
Results show that both spatial and spectral features of the spontaneous
fluctuation would be modulated by the echo time, and an optimal echo time can
be retrieved for maximal connectivity strength at 3T.
1663. Phase
Regression and Dynamic B-Field Correction Reduce Global Time Series Correlations
and Increase Functional Correlations
Andrew S. Nencka1, Andrew D. Hahn1,
Daniel B. Rowe1
1Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
Functional connectivity magnetic resonance imaging
suffers from a small signal of interest that is confounded by several signals
which are not of interest. Much work has been performed to utilize nuisance
regressors to reduce such “noise.” Here we consider the signal caused by
magnetic field fluctuations, as a result of out of field of view motion,
scanner instability, or bulk sample magnetization changes. We consider the
phase regressor method and the dynamic B-field correction method in preliminary
resting state data. Both methods reduce global voxel time series correlations
and increase voxel time series correlations in expected regions of
connectivity.
1664. Test-Retest
Reliability of Functional Motor Connectivity
Alan B. McMillan1, Steve Roys1,
Neha Shah1, Anindya Roy2, Joel D. Greenspan3,
Rao P. Gullapalli1
1University of Maryland School of
Medicine, Baltimore, MD, USA; 2University of Maryland Baltimore
County, Baltimore, MD, USA; 3University of Maryland Dental School,
Baltimore, MD, USA
In this study, we evaluate the consistency of resting
state networks in five regions of the motor system: the primary motor cortices
(LM1, RM1), the supplementary motor area (SMA), and the pre-motor areas (LPMA,
RPMA), both within and across sessions for multiple participants using both
voxel-wise and ROI-based approaches.
1665. Template
Free Identification of Resting State Networks Based Independent Component
Analysis
Veronika Schoepf1, Christian H. Kasess1,2,
Andreas Weissenbacher1, Rupert Lanzenberger2, Christian
Windischberger1,3, Ewald Moser1,3
1MR Center of Excellence, Medical
University Vienna, Vienna, Austria; 2Division of Biological
Psychiatry, Department of Psychiatry and Psychotherapy, Medical University
Vienna, Vienna, Austria; 3Center of Biomedical Engeneering and
Physics, Medical University Vienna, Vienna, Austria
The ''default mode of brain function'' has gained
considerable interest in human neuroimaging studies. Standard evaluation of
spatially consistent resting-state components over all subjects leads to
problems using a predefined spatial template for correlation with the single
subjects components as other default mode networks might be disregarded due to
template definition. In this study we introduce a novel evaluation approach for
identifying spatially consistent default mode networks across a group of
subjects based on ICA which requires neither component templates nor manual
inspection/selection of single subject components allowing for a truly
explorative way of assessing resting state networks.
1666.
Functional
Connectivity Mapping in the Rat Brain Using Spin-Echo EPI
Waqas Majeed1, Matthew Magnuson1,
Shella Keilholz1
1Biomedical Engineering, Georgia
Institute of Technology / Emory University, Atlanta, GA, USA
In this study we utilize spin-echo EPI for acquisition
of data for functional connectivity analysis. Low frequency fluctuations were
detected and functional connectivity maps similar to those obtained using
gradient-echo EPI were obtained.
1667. Exploration
of Functionally Connected Networks in the Rat Brain Using Multislice FMRI
Waqas Majeed1, Matthew Magnuson1,
Shella Keilholz1
1Biomedical Engineering, Georgia
Institute of Technology / Emory University, Atlanta, GA, USA
Functional connectivity analysis was performed on
multislice gradient echo fMRI datasets. We detected four robust networks.
Bilateral connectivity in hippocampus was seen. Also, a network containing
visual and somatosensory area was detected.
1668.
The
Effect of Light and Eyes Opening on Spontaneous Activity in the Visual Cortex
Marta Bianciardi1, Masaki Fukunaga1,
Jacco A. de Zwart1, Jeff H. Duyn1
1Advanced MRI Section, LFMI, NINDS,
National Institutes of Health, Bethesda, MD, USA, Bethesda, MD, USA
Resting state spontaneous activity is widely used to
study the functional connectivity in neurological diseases, but its functional
role is still unknown. Aim of the present study was to investigate the source
of spontaneous activity in the visual cortex, in particular whether it is due
to the presence/absence of light or to endogenous processing independent of the
visual input (luminance level). Our results show that the amplitude of
spontaneous activity in the visual cortex is not modulated by the visual input,
but it is reduced by processes associated to eyes opening even in absence of
light.
1669. Simultaneous
EEG & FMRI: Positive Correlations to Frontal Theta Power
Allen T. Newton1,2, Victoria L. Morgan2,3,
John C. Gore1,2
1Biomedical Engineering, Vanderbilt
University, Nashville, TN, USA; 2Institute of Imaging Science,
Vanderbilt University, Nashville, TN, USA; 3Radiology and
Radiological Sciences, Vanderbilt University, Nashville, TN, USA
Frontal midline electroencephalographic (EEG)
oscillations in the theta band are known to change during working memory tasks.
Negative correlations between frontal midline theta power and default mode BOLD
signals have been measured through simultaneous EEG and fMRI data acquisition.
This study aims to investigate the positive correlates of theta power. We found
several locations of positive correlation, including the left hippocampus and
bilateral central sulci. Viewing these results in the context of hippocampal
theta and in the context of possible errors in dipole source modeling may
affect interpretation of changes in theta oscillations measured along the
frontal midline.
1670.
Studying
Spontaneous Brain Activity Using EEG-FMRI and Event-Related ICA
Richard Masterton1,2, David Abbott1,2,
Graeme Jackson1,2
1Brain Research Institute, Florey
Neuroscience Institutes (Austin), Melbourne, Victoria, Australia; 2Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
We describe an event-related ICA analysis for detecting
BOLD signal changes associated with spontaneous EEG events. This method is
demonstrated on an EEG-fMRI study of patients with focal epilepsy.
1671.
State-Dependent,
Widespread Correlation of Neural and FMRI Endogenous Fluctuations in the Awake
Monkey
Marieke L. Scholvinck1,2, Frank Q. Ye3,
Charles Zhu3, Alexander Maier1, Jeff H. Duyn4,
David A. Leopold1,3
1UCNI, LN, NIMH, NIH, Bethesda, MD, USA; 2Institute
of Cognitive Neuroscience, University College London, London, UK; 3Neurophysiology
Imaging Facility, NIMH,NINDS,NEI,NIH, Bethesda, MD, USA; 4Advanced
MRI Section, NINDS, NIH, Bethesda, MD, USA
Endogenous fluctuations in the brain were evaluated by simultaneously measuring
electrophysiological and fMRI signals in the awake monkey. Fluctuations of the
gamma local field potential power and fMRI signals were strongly correlated,
not just in the region of the electrode but across a large portion of the
cerebral cortex, an effect that was strengthened when the monkey’s eyes were
closed. These findings demonstrate that a significant portion of the variance
in resting state activity is correlated with underlying neural activity, and
that the relationship between fMRI and neural signals varies as a function of
behavioral state.
1672.
Deconvolved
FMRI Correlates with Source-Localised MEG as a Function of Neural Frequency
Oscillation
Johanna M. Zumer1, Claire M. Stevenson1,
Matthew J. Brookes1, Sue T. Francis1, Peter G. Morris1
1Sir Peter Mansfield Magnetic Resonance
Centre, University of Nottingham, Nottingham, UK
BOLD fMRI is widely used for inferring neural activity
from the indirect haemodynamic response that it measures. MEG measures direct
neuromagnetic effects across time and frequency and recent techniques enable a
full spatial-temporal-frequency reconstruction of neural sources. Here, we
deconvolved a BOLD response to a 4s visual stimulus with the haemodynamic
response function to get an estimate of neural activity from fMRI. We
correlated this prediction with the source-localised result from MEG across
frequency bands and found a significant negative correlation with lower
frequencies (4-25Hz) and a significant positive correlation with high
frequencies (52-98Hz).
1673. The
Relationship Between 7T FMRI BOLD and MEG Derived γ Activity
Claire Stevenson1, Matthew Brookes1,
Peter Morris1
1SPMMRC School of Physics and Astronomy,
The University of Nottingham, Nottingham, Nottinghamshire, UK
BOLD data acquired at higher field strengths are thought
to be closer to the true site of neural activation, which should result in a
response amplitude more closely related to true neuronal activity. MEG offers a
non-invasive direct measure of neural activity. Here 3T and 7T BOLD data are
compared to MEG derived γ band activity. Modulations in γ activity
due to a graded visual stimulus are compared to variations in the BOLD response
at 3T and 7T. It is found that modulations in amplitude of the 7T BOLD
correlate better with MEG derived γ activity than 3T data.
1674. Correspondence
Between Resting State Networks and EEG-Correlated FMRI Maps
Rami Khalil Niazy1,2, Gaynor A. Smith1,
C John Evans1, Richard G. Wise1
1Cardiff University Brain Research
Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK; 2Biomedical
Physics Department, King Faisal Specialist Hospital & Research Centre,
Riyadh, Saudi Arabia
The brain shows functional activity when it is at
relative rest, which can be seen in both the haemodynamics (Functional MRI
Resting State Networks-RSNs) and the electrophysiology (EEG oscillatory
rhythms). We have extracted independent components from resting EEG data and
demonstrated widespread correlations between their power time-courses and the
BOLD FMRI signal, demonstrating a strong thalamo-cortical component. We
illustrate how EEG-correlated FMRI maps, in all EEG frequency bands, show
spatial similarities to combinations of FMRI-derived RSNs from the same data.
1675.
Correlation
of Fluctuations in Simultaneously Recorded VEP and BOLD FMRI
Dan Fuglø1, Henrik Pedersen1,
Henrik Bo Wiberg Larsson1
1Functional Imaging Unit, Department of
Clinical Physiology and Nuclear Medicine, Glostrup Hospital, Glostrup, Denmark
We examined different measures of neuronal activation in
the VEP signal recorded simultaneously with BOLD fMRI. The correlation of
fluctuations in VEP and BOLD signals depend on the method of measuring neuronal
activation in the VEP signals. We observed about a doubling of the correlation
coefficients when going from a more conventional measure based on peak
detection to a measure based on correlation with the grand mean VEP.
1676.
Exploring
the Relationship Between Driven Neuronal Activity and the BOLD Response to
Visual Stimulation Relative to an Individual’s Alpha Frequency.
Karen J. Mullinger1, Peter F. Liddle2,
Richard W. Bowtell1
1Sir Peter Mansfield Magnetic Resonance
Centre, School of Physics and Astronomy, University of Nottingham, Nottingham,
Nottinghamshire, UK; 2Division of Psychiatry, School of Community
Health Sciences, University of Nottingham, Nottingham, Nottinghamshire, UK
The variation in the magnitude of the BOLD and driven
response to visual stimuli presented around the individual’s alpha frequency
(IAF) was investigated using simultaneous EEG/fMRI at 3 T. The EEG response
clearly peaked close to the IAF, while a slight dip was observed in the BOLD
response. The results indicate that the driven electrical responses are best
characterised using frequencies scaled relative to the IAF and that the
increased evoked electrical activity produced by stimulation at the IAF does
not cause a concomitant increase in energy demand leading to an elevated BOLD
response. |
|
fMRI: Pain, phMRI, Anesthetics |
Exhibit Hall 2-3
Wednesday 13:30-15:30 |
|
1677. Validation
of Awake Rat Model for Measures of Pain and Analgesia with FMRI
Lino Becerra1,2, Pei-Ching Chang1,
James Bishop1, Eric Crown3, Yang Tsai3, Mark
Urban3, Michael Klimas3, Richard Hargreaves3,
Smriti Iyengar4, Rosa Maria Simmons4, Steve C. Peters4,
Adam James Schwarz4, David Bleakman4, David Borsook1,2
1Imaging Consortium for Drug Development,
McLean Hospital, Belmont, MA, USA; 2Athinoula A. Martinos Center,
Massachusetts General Hospital, Charlestown, MA, USA; 3Merck and Co,
West Point, PA, USA; 4Eli Lilly and Co., Indianapolis, IN, USA
Functional imaging studies of rodents generally use
anesthetics and paralyzers to control stress levels and motion. For pain
studies, however, the use of anesthetics introduces confounds that hamper our
ability to measure pain responses in the brain and their modulation by
analgesics. An awake animal fMRI pain model, with proper control of stress and
motion, is necessary. Here, we evaluate an awake pain model and compare it to
traditional behavioral pain studies to determine the optimal conditions for
imaging.
1678. Opposite
Parietal and Midbrain BOLD Patterns During Inflammatory Pain in the Rat: A
High-Field FMRI Study
Ariel Graff-Guerrero1,2, Juan Manuel
Ortega-Legaspi3, Camilo De la Fuente-Sandoval4, Francisco
Pellicer3, Desiree López5, Alvino Moreno5,
Rodrigo Martín5, Sergio Solis5, Silvia Hidalgo5,
Alfredo O. Rodriguez5
1Instituto de Neurobiologia, Universidad
Nacional Autonoma de Mexico, Mexico, DF, Mexico; 2PET Centre, Centre
for Addiction and Mental Health, Toronto, Ontario, Canada; 3Laboratorio
de Neurofisiología Integrativa, Instituto Nacional de Psiquiatria Ramon de la
Fuente, Mexico; 4Laboratorio de Psiquiatria Experimental, Instituto
Nacional de Neurologia y Neurocirugia, Mexico; 5Electrical
Engineering Department, Universidad, Autónoma Metropolitana-Iztapalapa, Mexico,
DF, Mexico
The development of high-field magnetic resonance
scanners, for small animals, have redirected the study of pain using fMRI in
preclinical models. While human studies have advantages to study
cognitive-psychological processes during pain perception, animal studies allow
to correlate fMRI with basic mechanisms.
1679. Spin
Versus Gradient Echo Sequence: What Is Better for Pain Research with Small
Animal FMRI?
Lubos Budinsky1, Silke Kreitz1, Marina Sergejeva1, Nicole Motzkus1, Anna Pamberg1,
Andreas Hess1
1Institute of Pharmacology, FAU
Erlangen-Nuernberg, Erlangen, Germany
The aim of this study was to compare GE and SE EPI for
the purposes of pain research in anesthetized rats.
1680. A
Peripheral Nerve Repair Model Using FMRI in Rats
Maida A. Parkins1, Rupeng Li2, Hani
S. Matloub1, Ji-Geng Yan1, James S. Hyde2,
Christopher P. Pawela1,2
1Plastic and Reconstructive Surgery,
Medical College of Wisconsin, Milwaukee, WI, USA; 2Biophysics,
Medical College of Wisconsin, Milwaukee, WI, USA
The purpose of this study was to create a model for
peripheral nerve injury and repair. This was done in a rat model using BOLD
fMRI to track cortical recovery of the repaired nerve. The median nerve repair
data show an increase in activation in the primary sensory forepaw region after
just two weeks. This increase in activation is expected to continue in time as
healing of the repaired nerve progresses. This model is exciting because it can
be used as a vehicle for evaluating different interventions that could improve
nerve healing, like application of growth factors or mechanical stress.
1681. Assessing
Alcohol-Induced Liver Damage in Chronic Alcoholic Rats by Gradient Echo FMRI
Manfred Brauer1, Melissa Yau1,
Leslie M. Foley2
1Molecular and Cellular Biology,
University of Guelph, Guelph, Ontario, Canada; 2Pittsburgh NMR Ctr.
for Biomedical Research, Carnegie Mellon University, Pittsburgh, PA, USA
Long-term alcohol consumption causes hypoxic liver
damage. Functional MRI can measure tissue oxygenation changes in situ. Here we
report gradient echo fMRI studies of liver oxygenation changes in chronic
ethanol-treated rats showing that alcohol causes a greatly decreased and slower
response to hyperoxia, hypoxia and carbogen challenge vs. controls. Liver
signal intensities doubled with carbogen inhalation in controls, with no
significant increase in alcoholic rats. TE-dependence studies confirm that both
SE and GE fMRI studies are consistent with BOLD contrast. Low-volume
hemoximetry showed that chronic ethanol decreases blood oxygen levels in the
portal vein, hepatic artery and hepatic vein under all challenge conditions.
Morphometric histology showed that alcoholic liver vasculature was compressed
and less responsive to systemic challenge, confirming the fMRI results. This
shows that fMRI can noninvasive monitor organ oxygenation status.
1682. Potentiation
of the Metabotropic Glutamate Receptor Subtype 2 Blocks Phencyclidine-Induced
Brain Activation: A PhMRI Study
Nellie E. Byun1,2, Elizabeth A. Hackler1,2,
Carrie K. Jones3, Jason M. Williams1,2, Malcolm Avison2,3,
P. Jeffrey Conn3, John C. Gore1,2
1Radiology & Radiological Sciences,
Vanderbilt University Medical Center, Nashville, TN, USA; 2Vanderbilt
University Institute of Imaging Science, Nashville, TN, USA; 3Pharmacology,
Vanderbilt University Medical Center, Nashville, TN, USA
We utilized pharmacologic MRI to evaluate the
therapeutic potential of a metabotropic glutamate receptor subtype 2
potentiator, biphenyl indanone-A, in the phencyclidine (PCP) rat model
predictive of schizophrenia. Here we show that mGluR2 potentiation attenuates
the PCP-induced BOLD response in anesthetized rats in specific brain regions,
including the prefrontal cortex, caudate-putamen, and thalamus, which correlate
with behavioral data. These findings bolster the growing body of evidence that
mGluR2 is a viable target for the treatment of schizophrenia.
1683. The
Effects of Methylphenidate on Resting-State Brain Activity in Normal Adults: An
FMRI Study
Biao Jiang1, Yihong Zhu1, Pingzhen
Guo2, Yichao Deng1, Hongjian He1, Feiyan Chen1,
Yufeng Zang3
1Zhejiang University, Hangzhou, Zhejiang, China; 2Memorial Sloan-Kettering Cancer Center , USA; 3Beijing Normal University, China
Objective:By using resting-state fMRI and analytic
approach, regional homogeneity (ReHo), the study focused on the MPH effect on
the intra-regional synchronization of spontensou brain activity in a group of
normal adults. Methods: 1)Eighteen healthy males subjects.. 2) handedness
questionnaire and the Wechsler Adult Intelligence Scale were tested. 3) After
taking either MPH or placebo,the subjects were scanned a resting-state fMRI 4)
The data analysis Results: MPH increases activity mainly in bilateral superior
temporal lobe, right superior parietal lobe, and bilateral cuneus. MPH
decreased the activity mainly in bilateral superior frontal lobes, bilateral
orbital-frontal lobes, left middle frontal lobe. Conclusions: Single dose of
MPH can change the resting activity in most resting-state related areas.
1684. Anesthesia
Effects on BOLD and RCBV Responses Induced by L-Tetrahydropalmatine
Xiping Liu1, Zheng Yang2, Rupeng Li1,
Qian Yin1, Shi-Jiang Li1
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA; 2Beijing Institute of Basic Medical Science, Beijing, China
L-tetrahydropalmatine (l-THP), purified from Chinese
herb Stephanie, was recently demonstrated to be effective in attenuating heroin
craving and relapse in heroin addicts. Also, it inhibited cocaine¡¯s rewarding
effects in animal models. As interactions of drug and anesthetic agent may
affect the phMRI response to the drug of interest and complicate the
interpretation of the data. We investigated the l-THP-induced BOLD and rCBV
brain responses using three anesthesia conditions (isoflurane, urethane, and
medetomidine) at high field to assess the confounding effects and interaction
of different anesthetics on l-THP.
1685. Hyperalgesic
Effects of Low Dose Lidocaine Detected by BOLD FMRI in Mice
Simone Claudia Bosshard1, Christof Baltes1,
Hanns Ulrich Zeilhofer2, Markus Rudin1,2
1Institute for Biomedical Engineering,
ETH and University of Zurich, Zurich, Switzerland; 2Institute of
Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
Effects of the local anesthetic Lidocaine on the BOLD
signal in the somatosensory cortices and the thalamus of mice following
electrical stimulation of the forepaw have been studied. Pretreatment of the
stimulated forepaw with low concentrations of Lidocaine led to an increased
BOLD response in the corresponding brain areas, in line with increased
sensitivity observed in behavioral tests, indicating a hyperalgesic effect of
Lidocaine on the C-type sensory afferents which process noxious stimuli. High
concentration of Lidocaine abolished the BOLD response after electrical
stimulation. This approach potentially allows distinguishing noxious from
innocuous stimuli using BOLD fMRI in mice.
1686. Statistical
Pitfalls in Pharmacological MRI
Michael Luchtmann1, Katja Jachau2,
Claus Tempelmann3, Johannes Bernarding1
1Institute for Biometry and Medical
Informatics, Otto-Guericke-University of Magdeburg, Magdeburg, Germany; 2Institute
of Forensic Medicine, Otto-Guericke-University of Magdeburg; 3Clinic
for Neurology II, Otto-Guericke-University of Magdeburg
Despite potential effects of the examined drugs on the
mechanisms of neurovascular coupling, most pharmacological MRI (phMRI) studies
are analyzed under the premise of an unchanged hemodynamic response function
(HRF). This assumption may lead to false negative activation changes when the
HRF underlies considerable alterations induced by the employed drugs. This
statistical pitfall is demonstrated on an exemplary phMRI study and show how
this assumption may lead to incorrect conclusions if HRF changes are neglected
in statistical analysis methods.
1687. Characterization
of a 5-HT2C Antagonist Profile of Agomelatine Using Challenge PhMRI in the Rat
Inna Linnik1, Shane McKie2,
Jennifer A. Stark3, Simon Luckman3, Bill Deakin2,
Steve R. Steve R. Williams1
1Imaging Science and Biomedical
Engineering, Manchester University, Manchester, UK; 2Neuroscience
and Psychiatry Unit, Manchester University, Manchester, UK; 3Faculty
of Life Science, Manchester University, Manchester, UK
Agomelatine is a novel clinically active antidepressant
drug. The antidepressant activity of agomelatine needs the combination of
melatonin agonist activity and 5-HT2C serotoninergic antagonist properties.
1688.
Quantification
of Neural Activation in Spinal Cord by Blood Volume-Weighted FMRI on a
Run-By-Run Basis – a Viable Pain Assay for Analgesics Development
Fuqiang Zhao1, Mangay Williams1,
Denise Welsh1, Xiangjun Meng1, Amy Ritter1,
Catherine Abbadie1, Jacquelynn J. Cook1, Alise S. Reicin1, Richard Hargreaves1, Donald S. Williams1
1Merck Research Laboratories, West Point, PA, USA
Spinal cord fMRI offers an excellent opportunity to
quantify nociception using neuronal activation induced by painful stimuli.
Measurement of the magnitude of stimulation-induced activation, and its
suppression with analgesics can provide objective measures of pain and efficacy
of analgesics. In this study, a high sensitivity pain fMRI technique by combining
BV-weighted fMRI with optimum electrical stimulus was developed. Its
performance is demonstrated by measuring the effect of systemic lidocaine on
noxious electrical stimulation-induced activation in spinal cord. The study
also revealed that systemic lidocaine, which is clinically used for the
treatment of neuropathic pain, and believed to only block the neural activity
originating from the damaged peripheral nerves, also blocks noxious electrical
stimulation-induced activity.
1689. Imaging
Brain Activity: Longitudinal FMRI in Mice Using Medetomidine Sedation
Joanna Magdalena Adamczak1, Tracy Deanne Farr1,
Joerg Ulrich Seehafer1, Mathias Hoehn1
1In-Vivo-NMR, Max-Planck-Institute for
Neurological Research, Cologne, Germany
In this study we present the successful establishment of
a non-invasive medetomidine based protocol for longitudinal fMRI studies of
brain activity in mice. The optimal dose of medetomidine was evaluated with
regard to sufficient sedation, tolerance by the animal and preservation of
electrical activity in the brain. For this purpose transcutaneous CO2
and somatosensory evoked potentials (SSEP) were measured. Following electrical
forepaw stimulation we observed brain activity in the contralateral
somatosensory cortex using blood oxygenation level-dependent (BOLD) contrast
with gradient echo EPI images at 7.0T and 11.7T.
1690.
Effect
of Isoflurane Anesthesia on BOLD Response to Somatosensory Stimulation: Results
from FMRI Experiments in Conscious Rats
Denise Welsh1, Alexandre Coimbra2,
Andrew Danziger2, Al Rauch2, Christopher Regan2,
Joseph J. Lynch2, Donald S. Williams2
1Merck & Co., Inc, West Point, Pa, USA; 2Merck & Co.,Inc
Translation of fMRI applications from preclinical to
clinical experiments is confounded by the need for anesthesia in animal
experiments. Successful implementation of fMRI of sensory stimulation in
conscious rats using a combined coil and restraint system, and a pneumatically
controlled mechanical stimulation device is described, and cerebral activation
following sensory stimulation in awake and anesthestized rats is compared. Hind
paw stimulation evoked statistically significant signal intensity increases in
the contralateral primary somatosensory cortex of rats in the conscious state,
but not in the anesthetized state. |
|
fMRI - Applications |
Exhibit Hall 2-3
Thursday 13:30-15:30 |
|
1691.
Functional
MRI Reveals the Critical Role of Broca’s Area in Speech Sound Disorders
Xu Chen1,2, Barbara Lewis3, Amy
Hansen3, Lisa Freebairn3, Jean Tkach1,2
1Radiology, Case Western Reserve
University, Cleveland, OH, USA; 2Case Center For Imaging Research,
CWRU, Cleveland, OH, USA; 3Communication Sciences, CWRU, Cleveland,
OH, USA
Speech sound disorders (SSD) are the largest group of
communication disorders observed in children requiring special education.
However, the neurological origin of SSD has not been researched extensively. To
investigate the neural substrate of SSD, we conducted an functional MRI study
using the HUSH (Hemodynamics Unrelated to Sounds from Hardware) technique on 6
participants with SSD history in comparison to 9 age-matched controls during an
overt non-word repetition task. Preliminary results demonstrate significant
under- activation in Broca’s area –an area known to be crucial for speech
production– for the patient group, suggesting the critical role Broca’s area
plays in SSD.
1692. Broca’s
Area BA 45 Mediates the Cognitive and Emotional Interference Resolution in
Healthy Adolescents
Adina Maria Mincic1,2, Patricia A. McGrath3,
Karen D. Davis4,5
1Division of Brain, Imaging and Behavior
– Systems Neuroscience, Toronto Western Research Institute,University Health
Network, Toronto, ON, Canada; 2Faculty of Medicine, University of
Oradea, Oradea, Romania; 3Department of Anesthesia, Hospital for
Sick Children, Toronto, ON, Canada; 4Division of Brain, Imaging and
Behavior – Systems Neuroscience, Toronto Western Research Institute, University
Health Network, Toronto, ON, Canada; 5Department of Surgery and
Institute of Medical Science, University of Toronto, Toronto, ON, Canada
To date it is unclear to what extent the mechanisms
engaged in cognitive control are similar in an emotional, compared to
non-emotional context. We used variants of Stroop task and fMRI, to compare the
activation patterns during cognitive and negative emotional interference, and
to identify areas specifically engaged in processing selection (i.e. commonly
showing activation in task vs. various baseline conditions - fixation, motor
control, neutral words). Cognitive interference elicited activation in a
bilateral fronto-parietal circuit; emotional interference engaged a mainly left
lateralized fronto-temporo-occipital network. Broca’s area, BA 45, was found to
be specifically involved in both types of interference.
1693. Evaluation
of Language Processing in FMRI at 7 T
Nina Koschnicke1,2, Stefan Maderwald1,2,
Jens Matthias Theysohn1,2, Katja Großkurth1, Mark E. Ladd1,2,
Elke Ruth Gizewski1,2
1Department of Diagnostic and
Interventional Radiology and Neuroradiology, University Hospital Essen, Essen,
Germany; 2Erwin L. Hahn Institute for Magnetic Resonance Imaging,
University Duisburg-Essen, Essen, Germany
The aim of this study was the evaluation of language
regions (Wernicke’s and Broca’s area) by comparing fMRI at 1.5 and 7 T using a
“word generation” and “synonym detection” test in twelve right-handed,
volunteers. The speech regions were reliably and consistently revealed in all
volunteers at both field strengths. In direct comparison, we acquired a 2 times
higher BOLD signal and a 5-6 times higher voxel level at 7 T. In further
studies, this advantage at 7 T may lead i.e. to a constant preoperative
detection of speech areas in patients with brain pathologies and restricted
powers of concentration.
1694.
Lateralization
of the Mirror Neuron System During Observation and Execution of Object-Related
Actions: A Functional Magnetic Resonance Study in Right and Left-Handed
Subjects
Monia Cabinio1, Valeria Blasi1,
Marcella Montagna2, Paola Borroni3, Antonella Iadanza1,
Giuseppe Scotti1, Andrea Falini1, Gabriella Cerri2
1Neuroradiology, San Raffaele Hospital, Milan, Italy; 2Istituto di Fisiologia Umana II, Università degli Studi di
Milano, Milan, Italy; 3Dipartimento di Medicina, Chirurgia e
Odontoiatria, Università degli Studi di Milano, Milan, Italy
Mirror neurons are visuomotor neurons active during both
oservation and execution of object-related hand movements. It’s hypotesized
their involvement in action understanding. Aim of this study is to evaluate if
the activation of the mirror neuron system is lateralized in humans. We
performed a Functional Magnetic Resonance Imaging study on right and left-handed
normal subjects during observation and execution of grasping movements done
with the left or right hand.
1695. Diverting
Attention Suppresses Human Amygdala Responses to Faces
Carmen Morawetz1,2, Juergen Baudewig1,
Stefan Treue2,3, Peter Dechent1
1MR-Research in Neurology &
Psychiatry, Medical Faculty, Georg August University, Goettingen, Germany; 2Cognitive
Neuroscience Laboratory, German Primate Center, Goettingen, Germany; 3Bernstein
Center of Computational Neuroscience, Goettingen, Germany
Here we investigated the effects of high/low attentional
load and different stimulus locations on face processing in the amygdala using
fMRI. The display presented a rapid stream of letters and digits in each visual
field quadrant and pairs of faces at one of three eccentricities. Participants
had to either attend to the streams performing tasks of high/low attentional
load or to the faces matching their gender/expression. The results revealed a
strong attenuation of amygdala activity when the attentional load was high
indicating that the processing of emotional stimuli in the amygdala is strongly
dependent on the availability of attentional resources.
1696. Functional
Connectivity of the Insula in Smokers
Peter S. LaViolette1, William Collier2,
M D. Verber3, Kathleen M. Schmainda1,4, L Piacentine3,
K L. Douville, S A. Claesges3, S J. Durgerian3,5, Alan S.
Bloom3,6
1Biophysics, Medical College of
Wisconsin, Milwaukee, WI, USA; 2Pharmacology, Medical College of Wisconsin,
Milwaukee, WI; 3Psychiatry and Behavioral Medicine, Medical College
of Wisconsin, Milwaukee, WI, USA; 4Radiology, Medical College of
Wisconsin, Milwaukee, WI, USA; 5Neurology, Medical College of
Wisconsin, Milwaukee, WI, USA; 6Pharmacology, Medical College of
Wisconsin, Milwaukee, WI, USA
Nicotine is a highly addictive substance, and smoking is
a leading worldwide cause of preventable death. Nicotine has been shown to
increase fmri bold activation when administered, and much research has been
done in fMRI and brain metabolism studies to localize specific brain anatomy
involved. Functional connectivity of these regions, on the other hand, has
received little attention. This study shows that regions that actively respond
to nicotine administration are functionally connected at rest, and the strength
of this network is paradoxically increased in smokers compared to non-smokers.
1697. Neurofeedback
Real-Time FMRI for the Regulation of Motor Areas in Chronic Stroke Patients
Jong-Hwan Lee1, Lee A. Kearse2,
Richard Hughes3, Yi Tang1, Lawrence P. Panych1,
Joel Stein3, Ferenc A. Jolesz1, Randie M. Black-Schaffer3,
Seung-Schik Yoo1
1Radiology, Brigham and Women's Hospital,
Harvard Medical School, Boston, MA, USA; 2Anesthesiology, Brigham
and Women's Hospital, Harvard Medical School, Boston, MA, USA; 3Spaulding
Rehabilitation Hospital, Boston, MA, USA
We applied the developed fMRI neurofeedback method to
chronic stroke patients with unilateral hand motor deficits, with an aim to
demonstrate that real-time feedback of an individual's regional brain
activation, especially from the motor-related areas that are affected by a
stroke, will help the patients to gain a degree of voluntary regulation of the
activation from the same areas.
1698. Human
MT Complex: Selectivity to Motion Flow Stimuli and to Retinotopic and
Spatiotopic Input
Laura Biagi1, Sofia Crespi2,3,
Giovanni D'Avossa4, Maria Concetta Morrone1,5, Michela
Tosetti1
1Stella Maris Scientific Institute, Pisa,
Italy; 2Università degli Studi Milano-Bicocca, Milan, Italy; 3Università
Vita Salute San Raffaele, Milan, Italy; 4Bangor University, Bangor,
Wales, UK; 5Università degli Studi di Pisa, Pisa, Italy
A recent fMRI study demonstrated the existence of a region
within MT complex with a spatiotopic selectivity. However this contrasts with
other results that showed that MT represents the stimuli manly in retinotopic
coordinate with a small or absent gaze modulation. The aim of this work is to
understand whether the portion in MT complex that shows spatiotopic properties
does belong to the retinotopic portion of MT and its specificity to the flow
motion. Different kinds of visual stimuli (retinotopy, motion localizers and
spatiotopic selectivity) were used to test this hypothesis. The region showing
a spatiotopic selectivity is partially overlapping with the classical MT region
and is strongly activated by all types of flow motion.
1699. Acute
Blockade of 5HT2a Receptors Reduces Orbitofrontal Cortex Response to Angry and
Fearful Faces
Bettina Hornboll1,2, Jon S. Wegener1,2,
Olaf B. Paulson1,2, James B. Rowe2,3, Gitte Moos Knudsen2,4,
Hartwig Siebner1,2, Julian Macoveanu1,2
1Danish Recearch Center for MR,
Copenhagen University Hospital, Hvidovre, Hvidovre, Denmark; 2Center
for Integrated Molecular Brain Imaging, Copenhagen, Denmark; 3Department
of Clinical Neurosciences, Cambridge University, Cambridge, UK; 4Neurobiology
Research Unit,, Copenhagen University Hospital, Copenhagen, Denmark
In 17 healthy volunteers, we used pharmacological
functional MRI to
1700.
Modulation
of the Brain Activities During 3D Object Perception from 2D Optic Flow
Sunao Iwaki1, John W. Belliveau2
1National Institute of Advanced Industrial
Science and Technology (AIST), Ikeda, Osaka, Japan; 2Massachusetts General Hospital, Boston, MA, USA
Two-dimensional optic flow is a strong cue to
reconstruct the shape of the 3D object in motion. Here, we parametrically
controlled the coherence of the random-dot motion to elucidate the changes of
the brain activities between different 3D perception conditions in human.
Significant increases of BOLD signal were observed both in the dorsal and
ventral visual pathways in the conditions which generate robust 3D precepts.
The results suggest that the perception of 3-D object from 2-D motion includes
both perception of global motion and 3-D mental image processing that are
accomplished by cooperative activation in the two distinct visual pathways.
1701.
Studying
Familiarity of Different Stimulus Types
Esin Karahan1, Ozlem Ozmen Okur1,
Ozlem Alkan2, Tulin Yildirim2, Cengizhan Ozturk1
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey; 2Department of Radiology, Baskent University Medical School, Ankara, Turkey
Neural correlates of familiarity to faces has been
studied in fMRI studies suggesting that it is associated with increased neural
activity in restrosplenial cortex and precuneus. However experience based familiarity
has not been studied comparatively in detail. We aim to investigate whether
brain regions associated with face familiarity are also activated with
different types of stimuli. fMRI is obtained from two different groups
(radiologists and volunteers) while they are viewing radiological images and
natural scenes. Fusiform gyrus and frontal lobe regions were activated in
radiologists' group while they are viewing radiological images whereas in
volunteers group inferior occipital gyrus and posterior cingulate were
activated during the same stimulus, suggesting that familiarity depends on the
stimulus type.
1702. Gender
Differences in Correlations of Functional Brain Activation with Intelligence
Factor Scores
Emily Eaves1, Cheuk Ying Tang1,2,
Johnny Ng1, David Carpenter1, David Schroeder3,
Chris Condon3, Roberto Colom4, Richard J. Haier5
1Radiology, Mount Sinai School of
Medicine, New York, NY, USA; 2Psychiatry, Mount Sinai School of
Medicine, New York, NY, USA; 3Johnson O'Connor Research Foundation,
Chicago, IL, USA; 4Universidad Autónoma de Madrid, Madrid, Spain; 5.
School of Medicine (emeritus), UC Irvine, Irvine, CA, USA
We sought to determine if brain activity during a
working memory task correlated with various intelligence measures and what, if
any, effect gender had on these correlations. Forty subjects completed a
battery of cognitive tests prior to completing an N-back working memory task
where fMRI data was collected. Percent activations in areas of increased
activity during the task were extracted for each subject. Correlation analysis
of intelligence scores and percent activations were different for males and
females. All correlations were negative suggesting reduced activity with
increased performance, providing support for the efficiency model of brain
function.
1703. Neural
Differences Between Intrinsic Motivation and Incentive Motivation
Woogul Lee1, Johnmarshall Reeve2,
Yiqun Xue3, Jinhu Xiong3
1Department of Psychological and
Quantitative Foundations, University of Iowa, Iowa city, IA, USA; 2Department
of Educational Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI,
USA; 3Department of Radiology, University of Iowa, Iowa city, IA,
USA
We examined the neural differences underlying intrinsic
motivation from incentive motivation. Brain activations were scanned when
participants decided whether they wanted to do activities while reading
sentences describing intrinsic and incentive motivation. In intrinsic
motivation, there were unique activations in the anterior precuneus associated
with judgments of self-relevance. In contrast, in incentive motivation, the
nucleus accumbens and the anterior cingulate gyrus were activated, related to
the anticipation of rewards and the making of decisions on the basis of
evaluation of rewards respectively. We conclude that the neural bases of
intrinsic motivation can be distinguished from those of incentive motivation.
1704. System
for Computerized Writing and Drawing During FMRI
Fred Tam1, Nathan Churchill1,2,
Stephen C. Strother1,2, Simon J. Graham1,2
1Rotman Research Institute, Toronto, Ontario, Canada; 2Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
Writing and drawing are understudied with fMRI, partly
for lack of a device that enables realistic approximation of this behavior,
including task performance feedback and quantitative behavioural logging in the
confines of the magnet. Therefore, we developed a tablet based on touchscreen technology
that is accurate, reliable, and relatively inexpensive. In a preliminary fMRI
experiment, we examined the neural correlates of a widely used pen-and-paper
neuropsychological assessment, the Trail Making Test. The results were similar
to the major results of a previous group study, which encourages us to extend
the experiment and to continue developing the tablet.
1705. Functional
Magnetic Resonance Imaging of Human Brain Exposed to a 60Hz, 1800µT Magnetic
Field
Alexandre G. Legros1,2, Julie Weller1,
John Robertson1,2, Michael Corbacio1,2, Daniel Goulet3,
Robert Stodilka1,2, Frank S. Prato1,2, Alex W. Thomas1,2
1Lawson Health Research Institute,
London, Ontario, Canada; 2University of Western Ontario, London,
Ontario, Canada; 3Hydro-Québec, Montréal, Québec, Canada
A simple finger tapping task is known to activate the
controlateral Supplementary Motor Area and the controlateral Primary Motor
Area. Interestingly, it has been shown that exposure to Extremely Low Frequency
Magnetic Fields (ELF MF, below 300Hz) decreases the amplitude of spontaneous
motor activity of healthy subjects. Moreover, a few results suggest a decrease
of brain electrical activity with exposure. We hypothesize that for an index
finger vs. thumb opposition task realized at natural frequency, thirty minutes
of ELF MF exposure will induce a decrease of BOLD activation in the involved
brain structures.
1706. Multimodality
Imaging in Cerebro-Cerebeller Verbal Working Memory
Wen-Yang Chiang1, Jing-Syun Yu2,
Shen-Hsing Annabel Chen2, Wen-Yih Isaac Tseng3
1Research Institute, The Methodist Hospital,
Houston, TX, USA; 2Department of Psychology, National Taiwan
University, Taipei, Taiwan; 3Center for Optoelectronic Biomedicine,
National Taiwan University College of Medicine, Taipei, Taiwan
A protocol of combining structural and functional images is proposed to
localize the specific white matter connections between multiple activation
areas. We use fMRI and DSI for this protocol to localize the in vivo evidence
of white-matter connections involved in different neuronal activities in
cerebro-cerebullar working memory which has not been proofed before. This in
vivo technique not only enables us to discriminate the difference of adjacent
white-matter structures involve in different stages of functional activations,
but also prospects the vision of looking at the dynamic involvements of
white-matter connections during different neuronal activities.
1707.
functional
MRI Correlates with Self-Assessment of Pain Intensity and Reveals Effect of the
Opioid Analgesic Buprenorphine on Brain Processing of Noxious Stimulation
Alexandre Coimbra1,2, Richard Baumgartner1,2,
Adam Schwarz2,3, Jaymin Upadhyay2,4, Julie Anderson2,4,
Jamie Knudsen2,4, James Bishop2,4, Gautam Pendse2,4,
Edward George2,4, Sanjay Keswani2,3, Brigette Robertson2,5,
Rudy Schrieber2,5, Smriti Iyengar2,3, Tom Large2,5,
David Bleakman2,3, Richard Hargreaves1,2, Lino Becerra2,4,
David Borsook2,4
1Merck Research Laboratories, West Point,
PA, USA; 2Imaging Consortium for Drug Development, Belmont, MA, USA;
3Lilly Research Laboratories, IN, USA; 4P.A.I.N. Group,
Brain Imaging Center, McLean Hospital, MA, USA; 5Sepracor,
Marlborough, MA, USA
Recently, there has been growing interest in exploring
the potential and utility of fMRI as a biomarker in drug discovery and
development. Here we present results from a study of an analgesic drug
Bupernorphine in healthy subjects using fMRI and painful stimuli of different
noxiousness. We demonstrate that the more noxious the stimulus, the stronger
the evoked brain response as measured by fMRI. Furthermore, both evoked fMRI
responses to noxious stimuli and their suppression by Buprenorphine, correlate
well with self-assessment of pain intensity. These results suggest that fMRI
can be used as robust assay in early stage of drug development |
|
fMRI Analysis |
Exhibit Hall 2-3
Monday 14:00-16:00 |
|
1708. Two
Local Constrained Canonical Correlation Analysis Methods for FMRI
Mingwu Jin1, Rajesh Nandy2, Dietmar
Cordes1
1Radiology, University of Colorado
Denver, Aurora, CO, USA; 2Biostatistics and Psychology, UCLA, Los Angeles, CA, USA
There are no constraints of the spatial weights employed
in conventional canonical correlation analysis (CCA) leading to model
overfitting and a decrease of specificity. We propose two different constrained
CCA (cCCA) methods to improve the detection power of fMRI data analysis and
compare results with the GLM method without and with fixed Gaussian spatial
smoothing. Quantitative results from pseudo-real data as well as qualitative
results from real data show that both novel cCCA methods can detect activations
more accurately for noisy fMRI data without losing specificity.
1709.
Effectiveness
of Gaussian Smoothing on Spatially Correlated Noise: A 3T Case Analysis
Mingwu Jin1, Rajesh Nandy2, Dietmar
Cordes1
1Radiology, University of Colorado
Denver, Aurora, CO, USA; 2Biostatistics and Psychology, UCLA, Los Angeles, CA, USA
Gaussian spatial smoothing using a fixed FWHM is a
common preprocessing step in fMRI data analysis. In this work, we investigate
the effects of spatially correlated noise and the size of activation patterns
to detect activations with and without spatial smoothing. The detection power
is measured using ROC curves on simulated data and activation maps of real 3T
fMRI data. Results indicate that spatial smoothing with any fixed FWHM is far
less effective when the noise is spatially correlated as in 3T resting-state
data and more advanced locally adaptive smoothing kernels should be applied.
1710. Robust,
Unbiased General Linear Model Estimation of PhMRI Data in the Presence of
Variance in the Temporal Response Profile
Gautam Vithal Pendse1,2, Adam James Schwarz2,3,
Richard Baumgartner2,4, Alexandre Coimbra2,5, David
Borsook1,2, Lino Becerra1,2
1Imaging and Analysis Group (IMAG),
McLean Hospital, Harvard Medical School, Belmont, MA, USA; 2Imaging
Consortium for Drug Development (ICD), Belmont, MA, USA; 3Translational
Imaging Group, Lilly Research Laboratories, USA; 4Biometrics
Research, Merck Research Laboratories, USA; 5Imaging Department,
Merck Research Laboratories, USA
PhMRI can elucidate brain circuits underlying
pharmacological action and provide a translatable, pharmacodynamic biomarker of
CNS activity for novel compounds in the early phases of drug development. As
applications increasingly shift to compounds whose direct effects on brain
activity may be more subtle – including new chemical entities and novel target
profiles – there is increasing demand on accurate and robust estimation of the
phMRI signal. We present a simple method to generate parsimonious design
matrices that accurately estimate, within a GLM framework, the phMRI response
in the presence of confounding signals and variability in temporal profile.
1711.
A
Stochastic Linear Model of Neurovascular Dynamics in the BOLD Signal
Leigh A. Johnston1,2, Maria Gavrilescu2,
Eugene P. Duff3, Gary F. Egan2,4
1Electrical and Electronic Engineering
and NICTA Victorian Research Laboratory, University of Melbourne, Parkville,
VIC, Australia; 2Howard Florey Institute, Melbourne, VIC, Australia;
3FMRIB, Oxford University, UK; 4Centre for Neuroscience,
University of Melbourne, Australia
A stochastic linear model (SLM) of the BOLD signal is
presented in which neurovascular dynamics are modelled by an autoregressive
exogenous input signal, embedded in parametrically modelled noise. The unknown
SLM states and parameters are estimated by an iterative coordinate descent
algorithm based on the Kalman smoother, from which novel activation weights are
calculated. We demonstrate, through application to a motor task fMRI dataset,
that the SLM produces more robust and consistent activation estimates than the
general linear model. The stochasticity of the SLM embodies sufficient
flexibility to account for observed variations in the BOLD signal.
1712.
Deconvolving
Haemodynamic Response Function in FMRI Under High Noise by Compressive Sampling
Christine Law1, Gary Glover1
1Stanford University, Stanford, CA, USA
A simple technique to deconvolve haemodynamic response
function (HRF) from fMRI data using 1-norm minimization is introduced. The true
HRF is typically sparse after wavelet transform, but we find the proposed
technique to be robust w.r.t relative sparsity. HRF is deconvolved via convex
optimization which has the flexibility to impose local HRF monotonicity and
smoothness in the time domain. Real fMRI data under low SNR (-10dB) confirms
reliability of this technique.
1713. A
Novel Test Statistic Allowing a General Linear Contrast Vector for Local
Canonical Correlation Analysis in FMRI
Mingwu Jin1, Rajesh Nandy2, Dietmar
Cordes1
1Radiology, University of Colorado
Denver, Aurora, CO, USA; 2Biostatistics and Psychology, UCLA, Los Angeles, CA, USA
Local canonical correlation analysis (CCA) is a
multivariate method that has been proposed to determine more accurately
activation patterns in fMRI data. One drawback of CCA is that, unlike the
general linear model (GLM), an arbitrary linear contrast of the temporal
regressors has not been incorporated in the CCA formalisms. In this research we
show how to extent CCA so that an arbitrary linear contrast of the temporal
regressors can be computed similar to a t-statistic in GLM.
1714. A
Quantitative Comparison of Different Group Analysis Methods in Dynamic Causal
Modeling: Dependence on Noise and Inter-Subject Variability
Christian H. Kasess1,2, Andreas Weissenbacher1,
Lukas Pezawas2, Ewald Moser1,3, Christian Windischberger1,3
1MR Center of Excellence, Medical
University Vienna, Vienna, Austria; 2Division of Biological
Psychiatry, Department of Psychiatry and Psychotherapy, Medical University
Vienna, Vienna, Austria; 3Center for Biomedical Engineering and
Physics, Medical University Vienna, Vienna, Austria
A number of different approaches have been proposed to
infer group statistics for dynamic causal models: (a) classic random effects
(RFX) second level analysis based on the mean parameter estimates ignoring
intra subject variance, (b) Bayesian averaging, combining multivariate single
subject posterior parameter distributions according to Bayes’ theorem and (c)
temporal averaging. Here, we compared these methods based on simulated data. We
found that RFX and temporal averaging analysis are more robust against
heterogeneity in the study population than Bayesian averaging which, for a heterogeneous
population, can yield results that only partly resemble the input statistics.
1715. Elucidating
the Impulse Response Function of SEEP Contrast in the Human Spinal Cord by
Means of Event-Related Spin-Echo Spinal FMRI
Chase R. Figley1, Jordan K. Leitch1,
Celina Nahanni1, Patrick W. Stroman1,2
1Centre for Neuroscience Studies, Queen's
University, Kingston, Ontario, Canada; 2Diagnostic Radiology and
Physics, Queen's University, Kingston, Ontario, Canada
Event-related fMRI is now a prevalent technique in both
systems and cognitive neuroscience, but event-related spinal cord fMRI has not
yet been reported. However, with recent methods to reduce motion-related
confounds, the sensitivity and specificity of spin-echo spinal fMRI methods
have been dramatically improved. Herein, we have capitalized on these
improvements to investigate peristimulus signal intensity changes following
brief periods of cold thermal stimulation (1 second durations of 22 °C) applied
to the palm of the hand. The results of this study have refined our
understanding of the SEEP (i.e., ‘signal enhancement by extravascular water
protons’) impulse response function in the human spinal cord, and represent the
first successful demonstration of event-related spinal fMRI.
1716. An
Analytic Magnitude and Phase FMRI Activation Model Applied to ASL
Daniel B. Rowe1, Luis Hernandez-Garcia2
1Department of Biophysics, Medical
College of Wisconsin, Milwaukee, WI, USA; 2FMRI Laboratory, University
of Michigan, Ann Arbor, MI, USA
A computationally fast high tSNR magnitude and phase
activation model is presented then applied to an ASL fMRI visual experiment. In
fMRI, Fourier encoded k-space measurements, inverse Fourier reconstructed
images, and voxel time series are complex-valued (real and imaginary or
magnitude and phase). Nearly all fMRI studies derive functional activation from
magnitude-only time series while discarding the phase time series. A GLM
magnitude and/or phase activation model has been introduced and shown to have
higher sensitivity. However, the existing method to compute magnitude and phase
activation utilizes an iterative MLE algorithm while here we use a large tSNR
exact solution.
1717.
Optimisation
of Support Vector Machine Classifier Algorithms for Use as a Brain Computer
Interface in Real-Time FMRI Applications
Guy B. Williams1
1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
Support Vector machines have recently been developed for
application to the analysis of fMRI data, and have great potential for use in
fMRI based brain computer interfaces. In this work, we explore how different
acquisition and processing strategies can increase the reliability of the
classifier, while constrained by the fact that results must be reported rapidly
and in time-order.
1718.
Granger
Causality Via Vector Auto-Regression Tuned for FMRI Data Analysis
Gang Chen1, J. Paul Hamilton2,
Moriah E. Thomason2, Ian H. Gotlib2, Ziad S. Saad1,
Robert W. Cox1
1Scientific and Statistical Computing
Core, NIMH, National Institutes of Health, Bethesda, MD, USA; 2Mood
and Anxiety Disorders Laboratory, Department of Psychology, Stanford
University, Stanford, CA, USA
We present a platform-independent modeling tool that
performs multivariate Granger causality analysis particularly tuned for FMRI
data. With an extended vector auto-regressive modeling strategy that accounts
for confounds such as baseline drift, head motion parameters, tasks of no
interest, physiological measurements, time breaks and signal irregularities,
our program provides various model fine-tuning tools including order selections
and various diagnosis tests, and identifies the causality at each lag among the
pre-selected regions. We also propose a valid group analysis per lag based on
signed path coefficients to reveal the network at the group level. The software
is in open-source R and available for download.
1719. High
Temporal Resolution Estimation of Hemodynamic Response from Event-Related FMRI
Mark A. Smith1, Mark J. Lowe1
1Imaging Institute, Cleveland Clinic, Cleveland, OH, USA
A method for deconvolution of event-related fMRI scans
to extract information on the hemodynamic response is described in detail. The
method can be applied to whole-brain data sets acquired with standard echo
planar imaging techniques. The method allows for slice-specific solutions which
can have a temporal resolution much better than the TR of the scan.
Demonstration of the method on real data will be given.
1720. Towards
Quality Control of Subject Movement in FMRI Studies
Daniel Cromb1,2, Andy Simmons1,3
1Centre for Neuroimaging Sciences,
Institute of Psychiatry, London, UK; 2Kent Institute for Medicine
and Health Sciences, University of Kent, Canterbury, Kent, UK; 3Clinical
Neuroscience, Institute of Psychiatry, London, UK
Large subject movements during fMRI can lead to
unanalyzable data. Despite this, subject movement remains an understudied area
and there are no guidelines for quality control of subject movement. We report
the development of a software package for investigating subject movement and a
novel overall movement parameter (OMP). The OMP is shown to be affected by the
amount of time spent in the scanner and varies between patient groups.
Characteristic movement patterns and directions have been identified. The OMP
shows promise both for quality control of subject movement and for the
refinement of fMRI study designs to minimise subject movement.
1721.
Induced
Correlation in FMRI Magnitude Data from K-Space Preprocessing
Daniel B. Rowe1, Andrew S. Nencka1
1Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
Correlations between image-space voxels over time have
been used to identify functionally connected regions of the cortex of subjects
in the “resting state.” The common pre-processing techniques that are applied
to fMRI k-space data before image reconstruction and before magnitude image
formation can induce image-space voxel correlations. Since connectivity
inferences are based upon image-space correlations, one must quantify and
account for such pre-processing induced correlations. This framework allows the
quantification and removal of these induced correlations. This will enhance and
refine all future fMRI connectivity studies.
1722. Development
of the Expert System for Quantification of Brain Activation (QUBA) in FMR
Images: Differential Activation Analysis
Tae-Hoon Kim1, Gwang-Woo Jeong1,
Byung-In Min1, Hyeong-Jung Kim1, Sundaram
Thirunavukkarasu1, Han-Su Baek1, Gwang-Won Kim1,
Heoung-Keun Kang2, Moo-Suk Lee3
1Biomedical engineering, Chonnam National
University Medical School, Gwang-ju, Korea; 2Radiology, Chonnam
National University Medical School, Gwang-ju, Korea; 3Psychiatry,
Chonnam National University Medical School, Gwang-ju, Korea
In fMRI, labels for brain activation foci are expressed
by the x, y, z coordinates of Talairach¡¯s brain space using the Talairach
Demon software. However, this method needs to use the MNI2TAL function of SPM,
which converted MNI brain space to Talairach¡¯s brain space, as well as to
confirm with comparison of activation maps overlaid on MNI-normalized
structural MRI images.
1723. Shape
Invariant Modelling of Trial Based FMRI Data
Kristoffer Hougaard Madsen1,2, Lars Kai Hansen2,
Morten Mørup2
1Danish Research Centre for Magnetic
Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Greater
Copenhagen, Denmark; 2DTU Informatics, Technical University of
Denmark, Kgs. Lyngby, Greater Copenhagen, Denmark
To overcome poor signal-to-noise ratios in fMRI, data
sets are often acquired over repeated trials that form a three-way array of
space × time × trials. As fMRI data contain multiple inter-mixed signal
components blind signal separation and decomposition methods are frequently
invoked for exploratory analysis and as a preprocessing step for signal
detection. Here we extend multi-linear decomposition to account for general
temporal modelling within a convolutional representation. We demonstrate how
this alleviates degeneracy and helps to extract physiologically plausible
components. The resulting convolutive multi-linear decomposition can model realistic
trial variability as demonstrated in fMRI data.
1724.
Classification
Technique to Detect Activation Patterns in Pain FMRI Data
Loan Vo1,2, Harish A. Sharma3, Y.
Michelle Wang1,4, Dirk B. Walther1, Arthur F. Kramer1,4,
William Olivero5
1Beckman Institute, University of
Illinois at Urbana-Champaign, Urbana, IL, USA; 2Department of
Electrical and Computer Engineering, University of Illinois at
Urbana-Champaign, Urbana, IL, USA; 3Biomedical Imaging Center,
University of Illinois at Urbana-Champaign, Urbana, IL, USA; 4Department
of Psychology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 5Carle
Foundation Hospital, Urbana, IL, USA
Traditional univariate GLM (General Linear Model) in
fMRI analysis has its weakness as not taking into account the relationship
between data from different (but adjacent or physiology related) voxels. In
this back-pain study, we use classification method i.e multi-voxel pattern
analysis to find the brain activation regions involved in pain processing.
Using this technique we successfully detect the activations in the motor
cortex, insula and thalamus region in the patients with low back pain.
1725. Time
Course Information Extracted by the Sliding Window Analysis Detected the
Decrease of T-Values in Hippocampal Areas During a Paired Associative Learning
of Novel Faces and Names
Kayako Matsuo1,2, Epifanio Tila Bagarinao3,
Tetsuya Iidaka4, Akinori Takeda5, Toshiharu Nakai2
1Dept. Psychology, National Taiwan University,
Taipei, Taiwan; 2Dept. Gerontechnology, National Center for
Geriatrics and Gerontology, Ohbu, Aichi, Japan; 3Neuroscience
Research Institute, National Institute of Advanced Industrial Science and
Technology, Tsukuba, Ibaraki, Japan; 4Dept. Psychiatry, Nagoya
University, Nagoya, Aichi, Japan; 5Ministry of Health, Labour and
Welfare, Chiyoda-ku, Tokyo, Japan
A new method gSliding Window Analysis (SWA)h was
applied to extract a decreasing trend of t-values in hippocampal areas during
fMRI. The SWA moves a statistical window to examine how the t-value changes
during the session. We designed a paired associative learning of novel faces
and names that were compared with famous faces and names. Young participants,
specifically those with high scores, demonstrated a downward trend of the
t-values, whereas the trends were obscure in the elderly participants. The
decrease in the t-values suggested the establishment of the associative
learning because the hippocampus is specifically involved in the memory encoding.
1726. The
Application of the Sliding Window Analysis: The Brain Location and the Window
Width
Kayako Matsuo1, Epifanio Tila Bagarinao2,
Tetsuya Iidaka3, Akinori Takeda4, Toshiharu Nakai5
1Dept. Psychology, National Taiwan University,
Taipei, Taiwan; 2Neuroscience Research Institute, National Institute
of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan; 3Dept.
Psychiatry, Nagoya University, Nagoya, Aichi, Japan; 4Ministry of
Health, Labour and Welfare, Chiyoda-ku, Tokyo, Japan; 5Dept.
Gerontechnology, National Center for Geriatrics and Gerontology, Ohbu, Aichi,
Japan
A new method gSliding Window Analysis (SWA)h was
applied to extract a decreasing trend of t-values in hippocampal areas during
fMRI. The SWA moves a statistical window to examine how the t-value changes
during the session. We designed a paired associative learning of novel faces
and names that were compared with famous faces and names. A detailed analysis
using the SWA demonstrated that a locus around the hippocampus was specifically
involved in the associative learning process.
1727. An
Efficient Global Clustering Algorithm for the Identification of Functional
Connectivity from BOLD FMRI
Andrew Ryan McIntyre1,2, Xiaowei Song1,3,
Evangelos E. Milios2, Malcolm I. Heywood2, Alma Major1,
Ryan D'Arcy1,4, Kenneth Rockwood3,5
1Institute for Biodiagnostics - Atlantic,
National Research Council, Halifax, NS, Canada; 2Faculty of Computer
Science, Dalhousie University, Halifax, NS, Canada; 3Medicinie,
Dalhousie University, Halifax, NS, Canada; 4Psychology and
Neuroscience, Dalhousie University, Halifax, NS, Canada; 5Centre for
Health Care for the Elderly, QEII Health Sciences Centre, Halifax, NS, Canada
A clustering approach is proposed for globally
identifying functional connectivity patterns from resting state fMRI data. The
Self-Organizing Map algorithm is directly applied to time course data to reduce
the input space for efficient application of the k-means algorithm. Hard clusters
are selected and correlated time course patterns are assigned to each cluster.
Results on two benchmark data sets indicate that the approach is able to
efficiently and accurately identify embedded target time course patterns with
low variation between initializations.
1728. The
Nintendo Wii Remote as an MR-Compatible Interface to Cognitive Studies Using
FMRI
Jerod Michael Rasmussen1,2, Karen Ayre
Rasmussen3
1Pediatric Neuroimaging Research
Consortium, Cincinnati Children's Hospital, Cincinnati, OH, USA; 2Dept.
of Neurology, Cincinnati Children's Hospital, Cinicinnati, OH, USA; 3Long
Beach Memorial Medical Center
The Nintendo Wii remote controller was investigated to
determine fMRI-compatibility inside of a Bruker 3T scanner. Time variant and
time invariant statistics were used to quantify the impact on T2* weighted
imaging. A comparison with and without the controller present showed little
effect on the ability to capture Echo Planar Images. Using freely available
software and inexpensive materials (less than US $80) the Wii remote can be
easily implemented to provide a novel interface to human cognition safely and
free of artifact.
1729. A
Virtual Radial Arm Maze for the Study of Multiple Memory Systems
Dongrong Xu1,2, Xuejun Hao1,2,
Zhishun Wang1,2, Yunsuo Duan1,2, Rachel Marsh1,2,
Shan Yu1,2, Bradley S. Peterson1,2
1Psychiatry, Columbia University, New York, NY, USA; 2New York State Psychiatric Institute, New York, NY, USA
An increasing number of functional brain imaging studies
are employing computer- based virtual reality (VR) for the study of dynamic
brain activity during the performance of high-level psychological and cognitive
tasks. We report the development of a standardized VR radial arm maze that
adapts for human use in a scanning environment the same general experimental
design of the Winstay and Winshift tasks that have been used with remarkable
effectiveness for the study of multiple memory systems in rodents. The software
platform is independent of computer hardware and operating system that aims to
provide shared access to this technology by the research community. The details
of its design and implementation are reported, and the system is now available
for downloading for research and test purposes.
1730. Optimalization
of Event-Related FMRI Design for BOLD Deconvolution
Johan Martijn Jansma1, Jacco A. de Zwart2,
Peter van Gelderen2, Wayne C. Drevets1, Maura L. Furey
1SNMAP/NIMH, NIH, Bethesda, MD, USA; 2AMRI/NINDS, NIH, Bethesda, MD, USA
Because BOLD response timing can vary across regions and
subjects, model free fMRI signal analysis through ‘deconvolution’ (a.k.a. FIR)
analysis can be preferred above methods that apply an a-priori BOLD model. A
disadvantage is the larger number of regressors, which can increase regressor
dependency. The effect of regressor dependency (expressed as the average
tolerance or ‘aTOL’) on sensitivity and reliability of multi-regressor-based
‘deconvolution’ analysis is investigated here. Comparison, through simulations
and experimental data, of 128 random regressors with a pseudo-random m-sequence
design indicated that performance of the design scaled with aTOL and that the
m-sequence consistently outperformed all random designs.
1731. Real-Time
Rejection of Gradient and Pulse Related Artefact (GRA and PRA) from
Electroencephalographic Signals Recorded During Functional Magnetic Resonance
Imaging (FMRI)
Yves Leclercq1, Andre Luxen1,
Evelyne Balteau1, Pierre Maquet1, Christophe Phillips1
1Cyclotron Research Centre, University of Liege, Liege, Belgium
Simultaneous EEG and fMRI acquisition offer new
possibilities to study brain dynamics. Though EEG signal get polluted by 2
artefacts, related to the MR scanner (“gradient related artifact”, GRA) and to
the heart beat (“pulse related artifact”, PRA). GRA is easily dealt with but
not PRA. We recently introduced a “constrained ICA” (cICA) that outperforms
other current methods in rejecting PRA. Here we introduce an algorithm also
based on cICA to correct the PRA in real time, allowing online monitoring and
neuro-feedback during fMRI scanning. The approach was tested on a patient
resting awake, eyes closed in the scanner.
1732. Analyzing
Task Activated BOLD FMRI Signal Voxel Area and Intensity Measurements with
Bootstrap Power Analysis
Christopher Paul Pawela1,2, B Douglas Ward2, Rupeng Li2, Bharat B. Biswal3, James S.
Hyde2
1Department of Plastic Surgery, Medical
College of Wisconsin, Milwaukee, WI, USA; 2Department of Biophysics,
Medical College of Wisconsin, Milwaukee, WI, USA; 3Department of
Radiology, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA
The number of subjects needed to determine information
about BOLD signal changes during task performance is a matter of debate. Every
fMRI experiment is different; however, information can be learned by studying
sensory stimulation in a highly controlled animal model. In this study, BOLD
activation voxel area and intensity are measured in response to different
frequencies of forepaw stimulation. The results demonstrate that the area of
activation is a more sensitive parameter for this task than the
area-under-the-curve for the BOLD signal, and indicates that a larger sample size
may be needed than was previously assumed.
1733.
Reverse
BOLD Improves Efficiency for Brain Response to Faces
Christopher Glielmi1, George A. James1,
Zhihao Li1, Xiaoping Hu1
1Department of Biomedical Engineering,
Georgia Institute of Technology / Emory University, Atlanta, GA, USA
Simultaneous electroencephalography (EEG) and fMRI are
advantageous because they provide concurrent measures of neural electrical
activity at high temporal resolution and hemodynamics at high spatial
resolution. While EEG-only sessions can present trials every 1-3 seconds for
efficient averaging, event-related fMRI typically requires much longer
interstimulus intervals. We propose a new stimulation protocol in which long
periods of trials are interleaved with missing trials, leading to a “reverse
BOLD” response and increasing EEG trials per reversed BOLD trial. We confirm
the integrity of the reverse BOLD response by comparing it to the regular BOLD
response for visual processing of faces.
1734. Gradient
Non-Linearity Correction Relocates Normalised Group Activation Hotspot
Arnold Skimminge1,2, Mark Schram Christensen1,3
1Danish Research Centre for Magnetic
Resonance, Copenhagen University Hospital, Hvidovre, Denmark; 2DTU
Informatics, Technical University of Denmark, Lyngby, Denmark; 3Department
of Exercise and Sport Sciences, University of Copenhagen, Denmark
High-speed MRI gradients tend to be nonlinear outside
the center of the magnetic field. This introduces structural deformations which
may influence not only the shape of structural images but also the location of
activation in fMRI studies. In worst case scenarios it could have serious
impact for presurgical planning fMRI studies if activation gets mislocalised.
Here we show that even in a best case scenario where functional images are
normalised, smoothed and group activation maps created, there is still a
significant difference in activation localisation with and with a correction
for the gradient nonlinearities. |
|
Myocardial ASL & BOLD |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
|
1735.
Background
Suppression Does Not Reduce Physiological Noise in Myocardial ASL Perfusion
Imaging
Zungho Zun1, Eric C. Wong2, Krishna
S. Nayak3
1Department of Electrical Engineering ,
University of Southern California, Los Angeles, CA, USA; 2Departments
of Radiology and Psychiatry, University of California, La Jolla, CA, USA; 3Department
of Electrical Engineering, University of Southern California, Los Angeles, CA,
USA
Background suppression (BGS) is widely used in brain
arterial spin labeling (ASL) as a means to reduce physiological noise due to
subject motion and metabolic fluctuation. We performed pulsed ASL myocardial
blood flow (MBF) experiments with and without BGS. Using BGS, myocardial signal
was reduced by 82%, but the change in physiological noise and MBF measurement
confidence was statistically insignificant. This study demonstrates that static
myocardial tissue signals are not significant contributors to physiological
noise in myocardial ASL.
1736. Assessment
of Myocardial Blood Flow in Humans Using Arterial Spin Labeling: Feasibility
and Noise Analysis
Zungho Zun1, Eric C. Wong2, Krishna
S. Nayak3
1Department of Electrical Engineering ,
University of Southern California, Los Angeles, CA, USA; 2Departments
of Radiology and Psychiatry, University of California, La Jolla, CA, USA; 3Department
of Electrical Engineering, University of Southern California, Los Angeles, CA,
USA
We demonstrate the feasibility of myocardial blood flow
(MBF) measurement in humans using arterial spin labeling (ASL) and present an
analysis of thermal and physiological noise and their impact on MBF measurement
error. A desired measurement error of ¡¾ 0.1 ml/ml/min could be achieved with
85.5% confidence with thermal noise alone, but with 18.2 to 94.0 % confidence
based on physiological noise measured in a fifteen subjects. We demonstrate
that MBF can be assessed in humans using ASL, and that SNR improvement and the
reduction of physiological noise are key areas for future development.
1737. Myocardial
ASL Perfusion Imaging Using Pulsed 2D Tagging of the Proximal Aorta
Zungho Zun1, Eric C. Wong2, Krishna
S. Nayak3
1Department of Electrical Engineering ,
University of Southern California, Los Angeles, CA, USA; 2Departments
of Radiology and Psychiatry, University of California, La Jolla, CA, USA; 3Department
of Electrical Engineering, University of Southern California, Los Angeles, CA,
USA
Current methods for myocardial ASL perfusion imaging
suffer from a large spurious ASL signal in the ventricular blood pool, due to
inadvertent tagging of blood in the LV and LA. This signal is 50-100x larger
than the ASL signal in myocardium, and is a potential source of artifact,
physiological noise, and MBF measurement error. We demonstrate the feasibility
of pulsed tagging of the proximal aorta using a B1-insensitive 2D selective
inversion pulse without disturbing the LA or LV. This scheme achieves a 67%
inversion efficiency, and reduces the apparent ASL signal in the LV by 78%.
1738. Assessment
of Myocardial Perfusion Reserve with Blood Oxygen Level-Dependent
Cardiovascular Magnetic Resonance Imaging
Jacqueline Allison Flewitt1, Matthias
Voehringer1,2, Jordin Daniel Green1,3, Matthias G.
Friedrich1
1Stephenson CMR Centre, Calgary, Alberta, Canada; 2Robert-Bosch-Krankenhaus, Stuttgart, Germany; 3Siemens Healthcare, Calgary, Canada
We hypothesize that new Blood Oxygen Level Dependent
(BOLD) Cardiovascular MRI sequences have the image quality and spatial
resolution to quantitatively asses myocardial perfusion. In a canine model,
flow, coronary sinus saturation and BOLD signal intensity (SI) changes were
correlated during graded adenosine infusion. In healthy volunteers, flow and
BOLD SI were acquired before and during adenosine infusion. In dogs,
adenosine-induced blood flow changes agreed strongly with coronary venous
saturation changes (r2=0.94, p<0.001) and coronary venous saturation showed
a strong linear correlation with BOLD-SI changes (r2=0.80, p<0.001). In
volunteers, adenosine infusion resulted in a significant myocardial perfusion
increase (416±69%, p<0.001).
1739. Blood
Oxygen Level-Dependent Cardiovascular Magnetic Resonance Imaging (BOLD-CMR) in
Assessment of Transmural Perfusion Effect
Jacqueline Allison Flewitt1, Matthias
Voehringer1,2, Jordin Daniel Green1,3, Matthias G.
Friedrich1
1Stephenson CMR Centre, Calgary, Alberta, Canada; 2Robert-Bosch-Krankenhaus, Stuttgart, Germany; 3Siemens Healthcare, Calgary, Alberta, Canada
Blood Oxygen Level Dependant (BOLD) cardiovascular MR
imaging can detect perfusion changes in the myocardium and has the potential to
detect transmural changes across the myocardium. A study of healthy control
subjects and patients with suspected coronary artery disease was conducted
using SSFP BOLD sensitive imaging techniques. The signal intensity was
calculated during rest and the increase with adenosine infusion. A significant
difference between the epicardium and endocardium was detected in the patients
whereas no significant difference occurred in the healthy subjects. |
|
Myocardial Viability & Iron |
Exhibit Hall 2-3
Thursday 13:30-15:30 |
|
1740. Short
Inversion Time Gadolinium-Enhanced Myocardial Infarct Imaging Yields Improved
Infarct to Blood Contrast
James W. Goldfarb1, Sheeba Arnold1,
Margeurite Roth1
1Saint Francis Hospital, Roslyn, NY, USA
Short inversion time myocardial infarct imaging
(LGE-HYPO) provides improved contrast between the LV bloodpool and infarcted
myocardium at the expense of decreased contrast between viable myocardium and
both the LV bloodpool and infarcted myocardium. A combination of LGE-HYPER and
LGE-HYPO may provide the best image contrast for detection of myocardial
infarction.
1741. Myocardial
Viability Imaging Using HYPR-Based MRI Techniques
Orhan Unal1,2, Julia Velikina1,
Kevin M. Johnson1, Charles A. Mistretta1,2
1Department of Medical Physics,
University of Wisconsin, Madison, WI, USA; 2Department of Radiology,
University of Wisconsin, Madison, WI, USA
The goal was to investigate the potential of HYPR-based
delayed-enhancement magnetic resonance imaging (DE-MRI) techniques for 2D / 3D
myocardial viability imaging that allow retrospective selection of inversion
time (TI) to null myocardium signal.
1742.
Validation
of Cine-FLASH as a Method to Image Late Gd Enhancement in Mice
Andrea Protti1, Alexander Alexander Sirker2,
Tobias Schaeffter3, Ajay Shah2, Rene Botnar3
1Cardiovascular Division and Division of
Imaging Sciences, King’s College London BHF Centre of Excellence, London, UK,
UK; 2Cardiovascular Division, King’s College London BHF Centre of
Excellence, London, UK; 3Division of Imaging Sciences, King’s
College London BHF Centre of Excellence, London, UK
Late Gadolinium Enhancement (LGE) cardiovascular
magnetic resonance (CMR) imaging is usually performed by a T1-weighted sequence
with an inversion recovery (IR) pre-pulse. Although the images achieve good
contrast from areas of Gd agent uptake, there are several drawbacks such as
absence of contrast between Gd infarcted areas and blood; image blurring due to
ECG and respiration instability; anatomical information lost. In order to avoid
such limitations, a cine-FLASH is suggested as a more reliable method of
imaging LGE in mice 2 days after MI.
1743.
Estimation
of the Myocardial Extracellular Volume Fraction from Dynamic Contrast-Enhancement
Measurements and Comparison with Partition Coefficient Measurements
Michael Jerosch-Herold1, Ray E. Hershberger2,
Craig Broberg3
1Radiology, Brigham & Women's
Hospital, Boston, MA, USA; 2Medicine, University of Miami Miller
School of Medicine, Miami, FL, USA; 3Medicine, Oregon Health &
Science University, Portland, OR, USA
T1 measurements after contrast administration have been
shown to provide a novel marker of diffuse fibrosis and remodeling of the
extracellular matrix. In this study we tested the hypothesis that multiple T1
measurements for determination of the partition coefficient can be replaced
with a single dynamic contrast enhancement study for determination of the
extracellular volume fraction. The two methods were found to agree well.
Multi-slice measurements of myocardial contrast enhancement by dynamic imaging
provide an efficient method to determine the distribution volume for an
extracellular contrast agent, compared to multiple T1 measurements.
1744. Intra-Individual
Comparison of 0.1 Mmol/kg Versus 0.2 Mmol/kg Gadobutrol for Magnetic Resonance
Late Enhancement Imaging at 3 Tesla
Frank Grothues1, Hagen Boenigk1,
Martin Kanowski2, Joachim Graessner3, Katrin Christel
Sprung3, Martin Rohrer4, Ruediger Christian
Braun-Dullaeus1
1Cardiology, University Hospital
Magdeburg, Magdeburg, Germany; 2Neurology, University Hospital,
Magdeburg, Germany; 3Siemens Medical Solutions, Erlangen, Germany; 4Bayer
Schering Pharma AG, Berlin, Germany
Two doses of gadobutrol (0.1 mmol/kg or 0.2 mmol/kg)
were evaluated qualitatively and quantitatively for late enhancement (LE)
imaging at 3T in an intra-individual comparison in 15 patients with a history
of myocardial infarction. Qualitative judgement by blinded observers revealed
an in tendency better image quality with fewer artifacts and less noise with
the higher contrast dosage. Quantitative measurements of infarct size and
contrast-to-noise ratio between infarcted and remote myocardium were
significantly higher with the 0.2 mmol/kg dosage and should therefore be
preferred.
1745. Free-Breathing
Semi-Automated Quantitation of Area-At-Risk Size in Patients with Acute
Myocardial Infarction
Samuel Alberg Kock1, Anders Koustrup Niemann1,
Jacob Thorsted Sørensen2, Jens Flensted Lassen2,
Christian Juul Therkelsen2, Hans Erik Bøtker2, Torsten
Toftegaard Nielsen2, Won Yong Kim1,2
1MR-Center, Aarhus University Hospital Skejby, Aarhus, DK, Denmark; 2Dept. of Cardiology B, Aarhus University Hospital Skejby, Aarhus, DK, Denmark
T2-weighted MRI scans can depict areas at risk of
suffering irreversible due to myocardial infarction but are prone to
segmentation difficulties due to insufficient suppression of slow blood-flow
which is often present in trabeculated left ventricles. B-SSFP sequences are
known for their excellent blood-to-tissue contrast and may be employed for
accurate segmentation purposes. Combining B-SSFP with T2-weighted scans may
improve diagnostic accuracy and facilitate quantitative measurements of the
size of non-viable myocardium and areas-at-risk.
1746. Structural
and Functional Consequences of Ischemia and Reperfusion in the Heart - A
Long-Term Follow Up Via Cardiac MRI in a Rodent Model
Florian Andreas Bönner1,2, Stefan Weber3,
Karl Friedrich Kreitner, Wolfgang Günther Schreiber3, Georg Horstick2
11st Medical Clinic, Division of
Cardiology, Pulmonary Disease and Vascular Medicine, University Hospital RWTH
Aachen, Aachen, Germany; 22nd Medical Clinic, Mainz University
Medical School, Mainz, Germany; 3Section of Medical Physics,
Department of Radiology, Mainz University Medical School, Mainz, Germany
The objective of this study was to noninvasively
highlight global and local effects of ischemia and reperfusion (I/R) in a
rodent model by using contrast enhanced (CE) and cine MRI based on a 1.5 Tesla
clinical scanner system as a preliminary study. Rats received a more or less
prolonged cardiac ischemia. SR-FLASH and SR-Turbo-FLASH sequences were used to
generate perfusion, CE and cine MRI 48h and 6 weeks after I/R. Images were
taken with sufficient resolution to have a valid analysis of contrast agend
distribution and myocardial func-tion. This setup promises good practicability
for further pathophysiological studies.
1747.
Observer
Performance with State-Of-The-Art T2 Weighted Sequences (T2p SsSSFP, T2w ACUTE,
T2 DB TIRM, T2 DB BLADE) for the Detection of Area-At-Risk (AAR) in Acute
Coronary Syndromes (ACS).
Magalie Viallon1, Nathan Mewton2,
Didier Revel2, Peter Kellman3, Pierre Croisille2
1Radiology, Geneva University hospital,
GENEVA, Switzerland; 2Radiology, Hospices Civils de Lyon, Université
de lyon, Lyon, France; 3Radiology, Laboratory of Cardiac Energetics,
NIH/NHLBI, Bethesda, MD, USA
No clear consensus exists on the most appropriate
sequence to characterize AAR. Our objective is to determine the capacity of
each technique to clearly identify region of hyper/hypo enhanced area (edema/no
reflow) as a surrogate to AAR.
1748. Relationship
of Infarct Size and Cardiac Functions in the Hyper-Acute Phase of Myocardial
Ischaemia-Reperfusion in Rats
King Kenneth Cheung1,2, Anthony Neil Price2,
Johannes Riegler2, Roger J. Ordidge1, Mark Francis
Lythgoe2
1Department of Medical Physics and
Bioengineering, University College London (UCL), London, UK; 2Centre
for Advanced Biomedical Imaging (CABI), Department of Medicine and Institute of
Child Health, UCL, London, UK
MRI measurement of in vivo cardiac function has
become a popular method to assess treatment effects in small animal models of
myocardial infarction (MI). In chronic MI, infarct size has been shown to
correlate closely to deterioration in cardiac functions; however, the
relationship between infarct size and cardiac contractility in the hyper-acute
phase (i.e. hours) following MI is unclear. We aimed to investigate this
relationship using cardiac MRI with Gd-DTPA delayed-enhancement and ex vivo
myocardial viability assay. Our study suggests a discrepancy between infarct
size and reduction of ejection fraction during the early phases of MI. The
observed variability in the hyper-acute phase of MI may reflect the presence of
myocardial stunning.
1749.
3D
Black-Blood T1 Mapping of the Mouse Heart Using IntraGate FLASH and DESPOT1
Analysis
Bram Fransiscus Coolen1, Tessa Geelen1,
Arno Nauerth2, Larry de Graaf1, Klaas Nicolay1,
Gustav J. Strijkers1
1Biomedical NMR, Department of Biomedical
Engineering, Eindhoven University of Technlogy, Eindhoven, Netherlands; 2Bruker
BioSpin MRI GmbH, Ettlingen, Germany
A method for fast and robust 3D T1 quantification of the
mouse heart is presented. This is based on a IntraGate FLASH retrospectively
triggered steady-state sequence in combination with DESPOT1 analysis. By
additionally incorporating blood saturation, flow artifacts are reduced and
blood-myocardial contrast is enhanced. With this method, very homogeneous T1
maps of the mouse myocardium were obtained. This steady-state approach allowed
quantification of T1 through the entire mouse heart within reasonable
acquisition times.
1750. Temporal
Cardiac Manganese-Enhanced MRI with T1-Mapping in Mice Following Myocardial
Infarction
fang liu1,2, Ben Waghorn1,2, Jimei
Liu1, Tom C. - C. Hu1,2
1Small Animal Imaging, Department of
Radiology, Medical College of Georgia, Augusta, GA, USA; 2Nuclear
and Radiological Engineering / Medical Physics Programs, George W. Woodruff
School, Georgia Institute of Technology, Atlanta, GA, USA
A temporal manganese-enhanced MRI T1-mapping method has
been implemented to monitor the remodeling process following myocardial
infarction in the mouse heart. The study demonstrates that this T1-mapping
method is sensitive to detect the uptake of manganese dynamically in the
myocardial cells and that reduced Mn2+ uptake can be an indication of the
viability of the injured myocardial cells. Similarly, the quantification of
Mn2+ content enabled by this T1-mapping method can be applied to estimate the
progression of myocardial infarction, which may be useful for potential
therapeutic interventions.
1751.
Cardiac
Function and Fat Composition in STZ-Induced Diabetic Rats
Jun Lu1, Beau Pontre2, Stephen
Pickup3, Yee Soon Choong, Anthony Phillips, Hong Xu4,
Garth JS Cooper, Alistair Young5
1School of Biological Sciences,
University of Auckland, Auckland, New Zealand; 2Centre for Advance
MRI, University of Auckland; 3Dept of Radiology, University of
Pennsylvania, Philadelphia, PA, USA; 4Chemistry & Chemical
Engineering, Shenzhen University, Shenzhen, Guangdong, China; 5Dept
of Physiology, University of Auckland
End stage diabetes is always associated with heart
failure, which is the leading cause of death. We are the first to investigate
the heart function and fat composition in STZ-induced diabetic rats using High
Field MRI. Gradient echo cine method was used to determine cardiac function and
fast spin echo Dixon method was used to detect cardiac fat composition. We
found that the cardiac injection fraction of every rat decreased with prolonged
diabetic status and cardiac fat disappeared after 8 weeks of diabetes. The
results suggest that heart function impairment occur with long term diabetes in
STZ rat model.
1752. Preservation
of Cardiac Function in Transient Receptor Potential V4 Knockout Mice After
Myocardial Infarction Measured by Magnetic Resonance Imaging
Gregory Turner1, Weike Bao, Beat Jucker, Kevin
Thorneloe, Robert Willette
1GlaxoSmithKline, King of Prussia, PA, USA
The Transient Receptor Potential V4 (TRPV4), expressed
in endothelium throughout the cardiovascular system, is a cation channel that
contributes to intracellular Ca++ homeostasis and cell volume regulation .
Pharmacologic activation of TRPV4 has been associated with circulatory collapse
and failure of the endothelial barrier. In the present study, the effects of
TRPV4 deletion (TRPV4-/-) on cardiac function was examined in a myocardial
infarction (MI) model. MRI revealed preservation of cardiac function in the
TRPV4-/- mouse 1 week post-MI. These results indicate that TRPV4 deletion
produces a cardio-protective phenotype and suggests an important relationship
between the endothelium and cardiac function.
1753.
Assessment
of Left Ventricular Myocardial T1 Hyperintesity in Patients with Suspected
Cardiac Amyloidosis Using MRI
Kirsi M. Taimen1, MIchael C. Yang1,
Karin Dill1, John Sheehan1, James C. Carr1
1Department of Radiology, Northwestern
University, Chicago, IL, USA
Amyloidosis is a systemic disease caused by
extracellular deposition of insoluble protein. Cardiac involment is common and
often fatal form of disease. Cardiovascular magnetic resonance exhibits late
enhancement and shorter T1 in cardiac amyloidosis. We assessed T1 signal in
cardiac amyloidosis using T1 weigheted gradient echo (GRE) technique and
compared findings in age-matched control group. Results show that left
ventricular myocardium is T1 hyperinterse on pre-contrast T1-GRE imaging in
patients with suspected amyloidosis. They also have a shorter TI compared to
controls following contrast administration.
1754. Pre-Contrast
Imaging of the Area at Risk in Acute Myocardial Infarction: T2 Yields Higher
Contrast Than T1 MRI
Anthony Homer Aletras1, Peter Kellman1,
Li-Yueh Hsu1, Daniel Groves1, Robert F. Hoyt Jr. 2,
Andrew Ernest Arai1
1Laboratory of Cardiac Energetics,
National Heart, Lung and Blood Institute, Bethesda, MD, USA; 2Office
of the Scientific Director, National Heart, Lung and Blood Institute, Bethesda,
MD, USA
We hypothesized that, due to the intrinsic T1 and T2
associated with myocardial edema, higher contrast between the AAR and normal
myocardium would be measured with pre-gadolinium T2 MRI than with
pre-gadolinium T1 MRI. We also hypothesized than this would also be true for
contrast between the infarct and peri-infarct zones within the AAR. Our in-vivo
results suggest that T2 MRI can yield better contrast than T1 MRI for
differentiating infarct, peri-infarct and remote myocardium. These results do
not reflect limitations set by a particular pulse sequence but rather by the
physiology itself. These results are based on the intrinsic T1 and T2 changes
as a result of different water content, water mobility and interactions with
the lattice within the three regions.
1755.
Accurate
Assessment of Myocardial Infarction in Mice Using 3D Inversion Recovery
Gradient Echo MRI
Steffen Bohl1,2, Craig A. Lygate1,
Hannah Barnes1, Debra Medway1, Lee-Anne Stork1,
Jeanette Schulz-Menger2, Stefan Neubauer3, Juergen E.
Schneider1
1Cardiovascular Medicine, BHF
Experimental MR Unit, Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford, UK; 2Cardiology, Franz Volhard Klinik, Charite
University Medicine, HELIOS Klinikum, Berlin, Germany; 3Cardiovascular
Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
In-vivo myocardial gadolinium pharmacokinetics were
investigated in infarcted mice using rapid T1-measurements. In a second step
fast high resolution three-dimensional late Gadolinium enhancement MRI was
implemented using tailored latencies and inversion times for both intravenous
and intraperitoneal injections of the contrast agent. Infarct sizes derived
from MRI were related to the histological standard of reference.
1756.
Impact
of Myocardial Infarct on Regional Left Ventricular Function
Ramsey Al-Hakim1, James Sayre1,
Kalyanam Shivkumar1, Paul Finn1, Carissa Fonseca1
1David Geffen School of Medicine at UCLA,
Los Angeles, CA, USA
We utilized Cine and Delayed Contrast Enhanced MRI to
measure the extent of functional impairment in the infarct, infarct-adjacent,
and remote myocardial regions in patients with previous left ventricular
myocardial infarction (MI). The infarct-adjacent region was functionally
distinct from the infarct and remote regions as measured by segmental
myocardial thickening, ejection fraction, and end systolic volume. Furthermore,
the decline in thickening from the infarct-adjacent to infarct region was
significantly greater than from the remote to infarct-adjacent region. This
suggests a non-linear relationship exists between post-MI myocardial function
and distance from infarct, which has important clinical implications in
revascularization therapy.
1757. Validation
of Infarct Measurements by Inversion Recovery Delayed-Enhancement MRI During
the Hyper-Acute Phase of Myocardial Infarction in Rats
King Kenneth Cheung1, Anthony Neil Price2,
Roger J. Ordidge1, Mark Francis Lythgoe2
1Department of Medical Physics and
Bioengineering, University College London (UCL), London, UK; 2Centre
for Advanced Biomedical Imaging (CABI), Department of Medicine and Institute of
Child Health, UCL, London, UK
Delayed-enhancement (DE)-MRI is a well-established
method for assessing in vivo infarct size in chronic and sub-chronic
myocardial infarction (MI); however its application in small animal models has
been limited to sub-optimal MR sequences, and its accuracy in the hyper-acute
phase (i.e. hours) of MI remains ill-defined. This abstract describes a
validation of inversion recovery DE-MRI for measuring infarct size during the
hyper-acute phase of MI in rats. Our results demonstrate excellent agreement
between DE-MRI and TTC staining. DE-MRI can offer accurate infarct measurement
at the hyper-acute phase of MI, which may serve as a valuable early marker for
prognostic predictions and assessment of therapeutic outcome.
1758. The
Combination of Low Dose Dobutamine and Delayed Enhancement CMR Is More
Predictive of Infarct Zone and Left Ventricular Functional Recovery Than Either
Element Alone.
Anne Elizabeth Scott1, Scott Ian Kay Semple2,
Thomas W. Redpath3, Graham S. Hillis1
1Cardiology, University of Aberdeen,
Aberdeen, Grampian, UK; 2Medical Physics, University of Edinburgh,
Edinburgh, Midlothian, UK; 3Radiology, University of Aberdeen,
Aberdeen, Grampian, UK
This study investigated the relative and combined
utility of delayed enhancement (DE) CMR and low dose dobutamine (LDD) CMR for
the prediction of both infarct zone and global left ventricular functional
recovery following myocardial infarction. Adding LDD to DE CMR required an
additional fifteen minutes and significantly improved prediction of functional
recovery. A comprehensive CMR examination with both DE and LDD allowed more
accurate prediction of both infarct zone and global functional recovery than
either component alone.
1759. Myocardial
Fat Deposition in Segements with Infarction Detected with Water-Fat Separation
Imaging
James W. Goldfarb1, Margeurite Roth1,
Jing Han1
1Saint Francis Hospital, Roslyn, NY, USA
There is a high prevalence of fat deposition in chronic
myocardial infarction detected by water-fat separation MR imaging. MR imaging
is capable of fat and infarction detection and could be useful in determining
the functional cause and significance of fatty deposition after left
ventricular myocardial infarction.
1760. Myocardial
T1, T2 and T2* Measurements for in Vivo Assessment of Iron Overload in
Thalassemia
Taigang He1, John-Paul Carpenter1,
Guang-Zhong Yang2, Dudley J. Pennell1, David N. Firmin1
1Cardiovascular MR Unit, Royal Brompton Hospital and Imperial College, London, UK; 2Department of Computing,
Imperial College London
This study is to compare myocardial T1, T2, and T2*
measurements and their intrinsic relationship in thalassemia patients (N=48).
Multi-echo T1, T2, and T2* images were acquired in the myocardium. The results
demonstrate that both T1 and T2 correlate linearly with T2* in patients with
iron overload, but not in patients with normal iron. The study also
demonstrates a linear correlation between T1 and T2 in all the patients. This
study suggests that T1, T2, and T2* can be used for assessing myocardial iron
overload. For subjects with normal iron, T1 and T2 can potentially provide
improved myocardial tissue characterization.
1761. Comparing
in Vivo T2* and T2 Measurements in Tissues of Liver and Heart in Thalassemia
Taigang He He1, Gillian C. Smith1,
Raad H. Mohiaddin1, David N. Firmin1, Dudley J. Pennell1
1Cardiovascular MR Unit, Royal Brompton Hospital and Imperial College, London, UK
This study aims at determining the intrinsic T2*/T2
relationship in thalassemia patients (N=50) and compare this relationship in
the tissues of liver and heart. Multi-echo T2* and T2 images were separately
acquired in the heart and consequently in the liver. It demonstrates that
hepatic T2 correlated linearly with T2* in patients with iron overload,
suggesting that both can be used for assessing iron overload. This relationship
between T2* and T2 in the liver, however, appears different from that in the
myocardium, suggesting the calibration results of T2*/T2 against biopsy in the
liver may not be directly transferred to the heart. |
|
Myocardial Diffusion |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
|
1762.
Twelve
Weeks of Chronic Mitral Regurgitation Alters Myocardial Structure as Measured
by Diffusion Tensor MRI
Daniel Bruce Ennis1, Tom C. Nguyen2,
Gabriel R. Barnard1, Aki Itoh2, Stefan Skare3,
Wolfgang Bothe2, Neil B. Ingels2, D C. Miller2
1Department of Radiological Sciences,
David Geffen School of Medicine, University of California, Los Angeles, CA,
USA; 2Department of Cardiothoracic Surgery, Stanford University,
Palo Alto, CA, USA; 3Department of Radiology, Stanford University,
Palo Alto, CA, USA
Left ventricular (LV) dysfunction in chronic mitral
regurgitation (MR) may result, in part, from changes in LV microstructure and
diffusion tensor magnetic resonance imaging (DTMRI) is well suited for the
evaluation of microstructural organization. The <B>objective</B>
of this study was to determine whether twelve-weeks of chronic MR alters the LV
myocardial microstructure as measured with DTMRI. Comparisons between LV
microstructural measures in normal sheep and chronic MR sheep demonstrate a
significant (P<0.000001) increase in the rate of water diffusion (trace) and
a decrease in fractional anisotropy (FA). These changes may have a direct
impact on ventricular systolic and diastolic function.
1763. Cardiac
Diffusion Tensor Magnetic Resonance Imaging for High Resolution Reconstruction
of Individual Whole Hearts
Patrick William Hales1, Fleur Mason2,
Rebecca Burton2, Christian Bollensdorff2, Martin Bishop3,
Gernot Plank3, Peter Kohl2, Jurgen Schneider1
1Department of Cardiovascular Medicine,
Oxford University, Oxford, Oxon, UK; 2Department of Physiology,
Anatomy and Genetics, Oxford University, Oxford, Oxon, UK; 3Computational
Biology Group, Oxford University, Oxford, Oxon, UK
The ‘3D Heart’ project aims to develop an efficient
methodology for the acquisition of cardiac anatomical MRI data, DTI data, and
histology, and to develop techniques for automated segmentation and
registration of these data sets to create high resolution computer models of
individual whole hearts. We present here the progress to date of this project,
focussing on methodological developments for the acquisition of the high
resolution DTI data sets. The challenges posed by the processing and
combination of large, multiple data sets into a single comprehensive model are
also discussed.
1764.
Temporal
Changes in Diffusion Tensor Imaging Parameters in the Ex-Vivo Rat Heart
Patrick William Hales1, Fleur Mason2,
Rebecca Burton2, Christian Bollensdorff2, Peter Kohl2,
Jurgen Schneider1
1Department of Cardiovascular Medicine,
Oxford University, Oxford, Oxon, UK; 2Department of Physiology,
Anatomy and Genetics, Oxford University, Oxford, Oxon, UK
We have monitored the changes in the DTI parameters of
ex-vivo rat hearts over time, in order to determine the ‘useful lifetime’ of
these samples in long term studies. Initial results have shown that after a
period of approximately 50 hours post excision, the mean ADC and FA values in
the myocardium start to change. By monitoring changes in orientation of the
primary eigenvector over time, on a voxel-by-voxel basis, we are able to
examine regional changes in the structure and composition of the myocardium.
1765.
Myocardial
Vasculature: A Major Contributor to Cardiac MR Diffusion
MinSig Hwang1, Melvin Clark1, John
R. Forder1
1University of Florida, Gainesville, FL, USA
Since the coronary circulation is a pivotal component of
the myocardium, vascular spaces may need to be weighted as much as interstitial
and intracellular spaces in order to understand the physiological compartments
responsible for the myocardial DTI signals. In this experimental study using
11T magnet, we demonstrated vascular compartment is a significant contributor
to the myocardial MR diffusion characteristics observed in isolated rabbit
heart by replacing the vascular space with perfluorocarbon-emulsion (PFC) and by
changing the vascular flow rate of a modified St. Thomas¡¯ Hospital
cardioplegic solution (STH). |
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