16:30 |
0210. |
fMRI post-stimulus
undershoots in visual cortex are neuronal in origin
Karen J Mullinger1,2, Matthew Cherukara1,
Susan T Francis1, and Stephen D Mayhew2
1SPMIC, School of Physics and Astronomy,
University of Nottingham, Nottingham, Nottinghamshire,
United Kingdom, 2BUIC,
School of Psychology, University of Birmingham,
Birmingham, West Midlands, United Kingdom
The fMRI post-stimulus undershoot is widely observed but
its origins remain unclear. We recorded EEG-BOLD-ASL
responses to 10s-duration flickering and static visual
checkerboard stimuli and show that the amplitude of both
the BOLD and CBF post-stimulus undershoots in V1 are
negatively correlated with the 10-20s post-stimulus
power of the occipital EEG alpha (8-13Hz) oscillation.
In addition, flicker trials resulted in both
significantly larger fMRI undershoots and significantly
higher post-stimulus alpha power responses than static
trials. These results provide further evidence that the
fMRI undershoot arises from a neuronal mechanism and
comprises a unique feature of brain activity.
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16:42 |
0211.
|
Unravelling the
neurochemical mechanism of positive and negative BOLD
responses: a combined fMRI-fMRS study
Adam Berrington1, Andre Gouws2,
Stuart Clare1, Peter Jezzard1, and
Uzay Emir1
1FMRIB Centre, University of Oxford, Oxford,
United Kingdom, 2York
Neuroimaging Centre, University of York, York, United
Kingdom
We investigate neurochemical changes associated with the
positive and negative BOLD response. Using a visual
stimulus capable of generating PBR and NBR adjacently in
visual cortex, along with a two-voxel spectroscopy
sequence at 7T, we determine metabolite changes from
resting baseline. The relative increase or decrease of
certain metabolites e.g. glucose and glutamate, between
NBR and PBR, hints at alternate metabolic processes
behind either response. Baseline concentrations of GABA
and glutamate are also found to correlate to negative
BOLD strength suggesting a link between
inhibition-excitation balance and BOLD response.
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16:54 |
0212. |
Application of
quantitative, multimodal fMRI to the estimation of the
cerebral metabolic response to CO2 and
a visual stimulus in hypoxia
Aaron Benjamin Simon1, Zachary Smith2,
Richard Buxton2, and David Dubowitz2
1Bioengineering, University of California San
Diego, La Jolla, CA, United States, 2Radiology,
University of California San Diego, La Jolla, CA, United
States
How does sustained hypoxia affect the brain oxygen
metabolism (CMRO2) response to a stimulus? We
applied a novel multimodal Bayesian approach for
estimating the CMRO2 response
to stimuli in human subjects after 6 hrs, 2 days and 7
days of sustained hypoxia (3800m elevation, 12.5% O2).
The acute response to a CO2 challenge
was a significant reduction in CMRO2, and
this did not change with up to a week of
acclimatization. In contrast, the CMRO2response
to a visual stimulus was significantly reduced for up to
2 days of sustained hypoxia, but recovered to the
normoxic response by 7 days.
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17:06 |
0213.
|
Multiband BOLD acquisition
enhances the sensitivity of cerebrovascular reactivity (CVR)
mapping
Harshan Ravi1,2, Peiying Liu1,
Shin-Lei Peng1, and Hanzhang Lu1
1Advanced Imaging Research Center, University
of Texas at South Western Medical Center, Dallas, Tx,
United States, 2Department
of Bioengineering, University of Texas at Arlington,
Arlington, TX, United States
Cerebrovascular reactivity (CVR) reflects the ability of
the brain vasculature to dilate in response to a
vasoactive stimulus. CVR is usually measured with CO2
inhalation while continuously acquiring BOLD MRI images.
The biggest drawback of CVR is its poor sensitivity and
reliability. Multiband EPI is a fast-imaging technology
that allows the acquisition of multiple 2D slices
simultaneously. In fMRI and DTI applications, it has
been shown that multiband EPI provides an SNR advantage
over conventional EPI. In this work, we examined the SNR
benefit of multiband acquisition in CVR mapping, by
comparing the data collected using multiband with those
using conventional EPI.
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17:18 |
0214.
|
The impact of normoxic and
hyperoxic baseline periods in block paradigms of hypercarbic
cerebrovascular reactivity studies
Carlos C. Faraco1, Jeroen C.W. Siero2,
Megan K. Strother1, Daniel F. Arteaga1,
and Manus J. Donahue1
1Radiology and Radiological Sciences,
Vanderbilt University School of Medicine, Nashville, TN,
United States, 2Department
of Radiology, University Medical Center Utrecht,
Utrecht, Netherlands
Identification of cerebrovascular compromise in the
clinic is frequently performed using catheter
angiography, which is insensitive to tissue-level
hemodynamics and is sub-optimal for longitudinal
monitoring. Alternatively, hypercarbic-normoxic BOLD
fMRI may be used to assess cerebrovascular reactivity
(CVR). As a significant proportion of patients for whom
CVR assessment is desirable are hypoxic, and may be
operating near reserve capacity, hypercarbic-hyperoxic
(HC-HO) BOLD fMRI is advisable. However, HC-HO stimuli
introduce several experimental confounds, including
non-specific venous O2 rebinding to dHb. Here we
demonstrate that administration of baseline HO, before
HC-HO, resolves or reduces the drawbacks associated with
HC-HO CVR-weighted BOLD imaging.
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17:30 |
0215.
|
Searching for a truly
"iso-metabolic" gas challenge for the use in calibrated fMRI
and cerebrovascular reactivity mapping
Shin-Lei Peng1, Harshan Ravi1, Min
Sheng1, Binu Thomas1, and Hanzhang
Lu1
1Advanced Imaging Research Center, University
of Texas Southwestern Medical Center, Dallas, Texas,
United States
Hypercapnia challenge has been proposed as a method for
the calibration experiment because CO2 does not alter
brain metabolism. However, the assumption that
hypercapnia challenge is iso-CMRO2 has not been
validated. This study is to investigate a gas challenge
is truly ˇ§iso-metabolicˇ¨ by adding a hypoxic component
to the hypercapnic challenge (hypercapnic-hypoxia). We
used TRUST MRI to monitor the subjectˇ¦s CMRO2 during
hypercapnic-hypoxia challenge. Our data showed the
neural suppression effect of hypercapnia appears to be
nullified by the metabolic enhancement effect of
hypoxia. We therefore propose hypercapnic-hypoxia is an
iso-metabolic challenge that may be used for calibrated
fMRI studies.
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17:42 |
0216.
|
Calibration of BOLD fMRI
motor activation maps using BOLD breath hold cerebrovascular
reactivity mapping for effective compensation of brain
tumor-related neurovascular uncoupling
Shruti Agarwal1, Raag Airan1,
Sachin K. Gujar1, Haris I. Sair1,
and Jay J. Pillai1
1Division of Neuroradiology, Russell H.
Morgan Department of Radiology and Radiological Science,
Johns Hopkins University School of Medicine, Baltimore,
Maryland, United States
Reduced or impaired cerebrovascular reactivity (CVR) in
patients with brain tumors and other cerebral diseases
can generate false negative or spuriously decreased BOLD
fMRI activation during performance of presurgical
mapping of motor and language cortex in patients who are
potentially candidates for lesion resection. This
phenomenon, referred to as neurovascular uncoupling
(NVU) is an under-recognized but nevertheless critical
limitation of clinical BOLD fMRI. In this study we
demonstrate the feasibility of minimization of false
negative motor task-based activation through use of a
novel breath-hold CVR-based calibration method to
effectively compensate for NVU in patients with
perirolandic low grade gliomas.
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17:54 |
0217.
|
Task-correlated physiology
reveals vascular-neural networks
Molly Gallogly Bright1, Joseph Whittaker1,
Ian Driver1, and Kevin Murphy1
1CUBRIC, School of Psychology, Cardiff
University, Cardiff, Wales, United Kingdom
We previously identified coupling of vascular-neural
networks in BOLD fMRI data using simultaneous neural
stimuli and hypercapnia paradigms. We repeat this
experiment without a hypercapnic stimulus, observing
robust changes in physiology time-locked to the neural
tasks. These task-correlated physiologic effects are
significantly more associated with the vascular networks
identified previously, and identify an additional
vascular network in bilateral motor cortices.
Task-correlated physiology significantly affects
multiple vascular networks and may mimic, spatially and
temporally, neural network activations.
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18:06 |
0218.
|
Baseline oxygenation in the
brain: Correlation with BOLD and comparison between
susceptibility and respiratory-calibration methods
Audrey P. Fan1, Andreas Schaefer2,
Laurentius Huber2, Steffen N. Krieger2,
Harald E. Moeller2, Arno Villringer2,
and Claudine J. Gauthier2,3
1Richard M. Lucas Center for Imaging,
Stanford University, Stanford, CA, United States, 2Max
Planck Institute for Human Cognitive and Brain Sciences,
Leipzig, Germany, 3Concordia
University, Montreal, Quebec, Canada
This study investigated whether BOLD signal changes
during visual stimulus and gas challenge depend on
baseline oxygen extraction fraction (OEF0),
as measured by quantitative susceptibility mapping (QSM)
in cerebral veins. We also directly compared absolute
OEF0 values
in the visual cortex by QSM and by a novel
respiratory-calibration method (QUO2). In eight healthy
volunteers, BOLD-ASL scans were acquired during gas
breathing and visual stimulus, and gradient echo scans
were acquired at rest for QSM reconstruction. Good
fidelity was observed between BOLD-ASL signal changes
and baseline OEF0 by
QSM, as predicted by biophysical models. Our findings
also reveal encouraging concordance between absolute OEF0 by
QSM (30.6±2%) and by QUO2 (31.5±12%) that warrants
examination in a larger cohort.
|
18:18 |
0219. |
A streamlined approach to
mapping the oxygen extraction fraction (OEF) and
deoxygenated blood volume (DBV) using the quantitative BOLD
technique
Alan J Stone1 and
Nicholas P Blockley1
1FMRIB, Nuffield Department of Clinical
Neurosciences, Oxford, United Kingdom
There is a need for an easy-to-implement MR method
capable of providing quantitative parametric maps of OEF
and DBV across the brain in a clinically feasible
timescale. In this study a FLAIR GESEPI ASE sequence is
used to provide a refined measure of R2′
through optimisation of the data acquisition. The
components of the sequence are selected to minimise
confounds associated with CSF partial volume effects
(FLAIR), macroscopic field inhomogeneities (GESEPI) and
R2-weighting (ASE) of the R2′
signal. This affords a simplified application of the
qBOLD signal model, allowing parametric maps of OEF and
DBV to be produced in a streamlined process.
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