Pushing the Bounds of fMRI Resolution
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Thursday May 12th
Room 512A-G |
16:00 - 18:00 |
Moderators: |
Nan-Kuei Chen and Seong-Gi Kim |
16:00 |
631. |
Ultra-fast fMRI of human
visual cortex using echo-shifted magnetic resonance inverse
imaging
Wei-Tang Chang1, Thomas Witzel2,
Kevin Wen-Kai Tsai1, Wen-Jui Kuo3,
and Fa-Hsuan Lin1
1Institute of Biomedical Engineering,
National Taiwan University, Taipei, Taiwan, 2Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts
General Hospital, Charlestown, MA, United States, 3Institute
of Neuroscience, National Yang-Ming University, Taipei,
Taiwan
To ensure a good BOLD contrast with TE = 34 ms at 3T,
the scanning time of magnetic resonance inverse imaging
(InI) can be further shortened to 25 ms per volume by
using the echo shifting technique. Here we demonstrated
the feasibility of using echo-shifted InI (esInI) with
an unprecedented temporal resolution (40 Hz / volume) to
detect hemodynamic responses of human visual cortex.
Validated by EPI, esInI was found with good spatial
localization using the minimum norm estimation (MNE) for
volumetric reconstruction.
|
16:12 |
632. |
Dynamic magnetic resonance
multi-projection inverse imaging (mInI) with isotropic
spatial resolution
Kevin Wen-Kai Tsai1, Aapo Nummenmaa2,
Thomas Witzel2,3, Wei-Tang Chang4,
Wei-Jui Kuo5, and Fa-Hsuan Lin1,2
1Institute of Biomedical Engineering,
National Taiwan University, Taipei, Taiwan, 2A.
A. Martinos Center, Massachusetts General Hospital,
Charlestown, MA, United States,3Harvard-MIT
Divisions of Health Sciences and Technique, Charlestown,
MA, United States, 4Institute
of Biomedical Engineering, National Taiwan University,
Taipei, Taiwan, Taiwan, 5Cognitive
Neuropsychology Laboratory, National Yang-Ming
University, Taipei, Taiwan, Taiwan
MR inverse imaging (InI) can achieve 100 ms temporal
resolution with whole-brain coverage using highly
parallel detection at the cost of compromised spatial
resolution due to solving ill-posed inverse problems in
image reconstruction. Here we propose the
multi-projection InI (mInI) method. Using projection
data in three orthogonal directions from all RF channels
separately can achieve a high temporal resolution
without compromising spatial resolution. Results of
using mInI to study the hemodynamic responses in human
visuomotor system from 12 participants using a
32-channel head coil array at 3T can achieve 100 ms
temporal resolution and 4 mm3 isotropic spatial
resolution.
|
16:24 |
633. |
Single-Shot Whole Brain
Echo Volume Imaging for Temporally Resolved Physiological
Signals in fMRI
Thomas Witzel1,2, Jonathan R Polimeni1,
FaHsuan Lin1,3, Aapo Nummenmaa1,
and Lawrence L Wald1,2
1A.A. Martinos Center MGH Department of
Radiology, Harvard Medical School, Boston, MA, United
States, 2Harvard-MIT
Division of Health Sciences and Technology, Cambridge,
MA, United States, 3Biomedical
Engineering, National Taiwan University, Taipei, Taiwan
We developed a 64x64x56 matrix, whole-head 3T
single-shot EVI sequences for fMRI. We image the whole
brain at 8 frames per second and 3.4mm isotropic
resolution with the kz phase encoding direction
accelerated by a total of 21 fold to reduce distortions
in this “slow” phase encoding direction 21 fold. We
analyze the spectral composition of BOLD and
physiological signals to show that full Nyquist the
cardiac frequency is helpful in mitigating their effect
on the estimation of the fMRI activation.
|
16:36 |
634. |
Tracking Dynamic
Resting-State Networks with High Temporal Resolution fMRI
Hsu-Lei Lee1, Benjamin Zahneisen1,
Thimo Grotz1, Pierre LeVan1, and
Jürgen Hennig1
1Medical Physics, University Medical Center
Freiburg, Freiburg, Germany
Most resting-state network analysis methods assume the
networks are stationary during the course of the scan
session, usually ranged from 5 to 15 minutes. However it
might not be the case. We propose to use a highly
under-sampled fast acquisition scheme (shell trajectory)
to record images at a 10 Hz sampling rate and use
sliding window to track the dynamic change in those
coherent networks with a temporal resolution of 20
seconds.
|
16:48 |
635. |
Multiplexed Echo Planar
Imaging with Sub-second Whole Brain FMRI and Fast Diffusion
Imaging
David A Feinberg1,2, Steen Moeller3,
Stephen Smith4, Edward Auerbach3,
Kamil Ugurbil3, and Essa Yacoub3
1Advanced MRI Technologies, Sebastopol, CA,
United States, 2University
of California, Berkeley and San Francisco, CA, United
States, 3Center
for Magnetic Resonance Research, University of
Minnesota, 4FMRIB,
Oxford University
A multiplexed-EPI (M-EPI) pulse sequence is presented
that combines temporal multiplexing (m) utilizing
simultaneous echo refocused (SIR) EPI and spatial
multiplexing (n) with multibanded RF pulses (MB) to
achieve m x n images in an EPI echo train. This resulted
in significant increases in temporal resolution for
whole brain fMRI evaluated at 0.8s and 0.4s TR in
resting state and in substantial reductions in scan time
8.5m in HARDI neuronal fibertracks using 256 b-values.
Multiplexed EPI can be used to acquire higher spatial
resolutions, increase diffusion encoding, or to
investigate temporal dynamics of the fMRI response.
|
17:00 |
636. |
Resting-state correlations
between depths within columns of voxels radial to the
cortical surface
Jonathan Rizzo Polimeni1, Kyoko Fujimoto1,
Boris Keil1, Douglas N. Greve1,
Bruce Fischl1,2, and Lawrence L. Wald1,3
1A. A. Martinos Center for Biomedical
Imaging, Department of Radiology, Harvard Medical
School, Massachusetts General Hospital, Charlestown, MA,
United States,2Computer Science and AI Lab
(CSAIL), Massachusetts Institute of Technology,
Cambridge, MA, United States, 3Harvard-MIT
Division of Health Sciences and Technology,
Massachusetts Institute of Technology, Cambridge, MA,
United States
Here we provide characterization of the radial
independence of the fluctuations at each depth below a
given cortical location. This radial correlation length
of resting state fluctuations was measured using
gradient echo and spin echo EPI. The radial correlation
length is strongly affected by the removal of
confounding physiological signals in a counter-intuitive
way--namely the global signals regressed out do not seem
to produce an artifactual high-correlation between
layers, but rather mask the presence of correlations
between different depths. Similarly, the spin echo
acquisition, which is also expected to remove relatively
global fluctuations also uncovers additional underlying
radial correlations.
|
17:12 |
637. |
High Resolution fMRI of
the Functionally-defined Fusiform Face Area using 7T
Rankin Williams McGugin1, Christopher Gatenby2,3,
and Isabel Gauthier1
1Psychology, Vanderbilt University,
Nashville, TN, United States, 2Radiology
& Radiological Sciences, Vanderbilt University Medical
Center, Nashville, TN, United States,3Radiology,
University of Washington, Seattle, Washington, United
States
We imaged the inferior temporal lobe in humans at 7T,
using built-in realtime fMRI analysis in combination
with the 3D FFE-SENSE sequence to allow for bilateral
imaging of the Fusiform Face Area (FFA). We demonstrate
robust and reliable functional heterogeneity of the
fine-grain neural architecture of bilateral FFA, such
that clusters of voxels maximally responsive to non-face
categories (irrespective of hemisphere) are spatially
interdigitated amongst regions showing maximal response
to faces. We demonstrate that a functionally-defined
region that appears to be homogenously face-selective at
standard resolution (~3mm isotropic) is, in fact,
functionally heterogeneous when explored at HR.
|
17:24 |
638. |
Tonotopic Mapping in
Inferior Colliculus using bSSFP fMRI and Sweeping Frequency
Auditory Stimulation
Matthew Man Hin Cheung1,2, Joe S. Cheng1,2,
Iris Y Zhou1,2, Kevin C. Chan1,2,
Condon Lau1,2, and Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal
Processing, The University of Hong Kong, Pokfulam, Hong
Kong SAR, China, People's Republic of, 2Department
of Electrical and Electronic Engineering, The University
of Hong Kong, Pokfulam, Hong Kong SAR, China, People's
Republic of
The inferior colliculus (IC) is an important auditory
relay center for ascending pathways and the central
nucleus of IC receives input from lower auditory centers
and projects to the medial geniculate body in a strictly
tonotopic manner. In this study, a novel approach was
proposed to map the tonotopic organization in IC with
fMRI by using (1) periodic frequency-modulated auditory
stimulus with linearly sweeping frequency; and (2)
distortion-free balanced steady state free precession (bSSFP)
sequence. Tonotopic mapping in IC by fMRI was here
demonstrated successfully for the first time in animals
or humans.
|
17:36 |
639. |
Cortical depth dependent
temporal dynamics of the BOLD response in the human brain
Jeroen Cornelis Willem Siero1,2, Natalia
Petridou1,2, Johannes Marinus Hoogduin1,2,
Peter R Luijten2, and Nick F Ramsey1
1Rudolf Magnus Institute, University Medical
Center Utrecht, Utrecht, Netherlands, 2Radiology,
University Medical Center Utrecht, Utrecht, Netherlands
The BOLD specificity to the cortical vascular
architecture was investigated in the human brain, at 7T:
temporal dynamics (delay and width) of the BOLD response
were characterized across cortical depth in the primary
motor and visual cortices. Faster and narrower (<4s)
BOLD responses corresponded to the deeper gray matter,
and these temporal properties increased in an orderly
manner toward the cortical surface. A pooling time of
oxygenated blood from the deeper cortex to the pial
surface was estimated <~1s. These findings matched the
known vascular organization across cortical depth, and
may lead to new insights in neurovascular coupling in
humans.
|
17:48 |
640. |
Ipsilateral FMRI Response
in Primary Somatosensory Cortex (Area 3b) of Awake Marmosets
Junjie V Liu1, Matthew Huberty1,
and Afonso C Silva1
1NINDS, National Institutes of Health,
Bethesda, MD, United States
We conducted systematic measurements of BOLD fMRI
responses to unilateral electrical stimulation, in both
the contralateral and the ipsilateral primary
somatosensory cortex (SI) of awake non-human primates
(marmosets). Taking advantage of T1 mapping
co-registered with fMRI, we found many interesting
differences between the responses in low-T1 and high-T1
regions within area 3b of SI, specifically regarding to
their relationships with stimulus frequency, duration
and intensity. Because T1 is correlated with density of
thalamic inputs, with our results the ipsilateral SI
responses driven mainly by corticocortical neural inputs
can be distinguished from the contralateral SI responses
driven mainly by thalamic inputs.
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