ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
15:30 |
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1343. The
Primary-association Gradient across the Human Lifespan
Q. Li, L. Sun, D. Zeng, X. Liang, M. Xia, S. Li, Y. He
Beijing Normal University, Beijing, China
Impact: Results advance our understanding of the
lifespan changes in topographic organization of the human
brain and its impact on cognitive spectrum.
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15:42 |
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1344. A
data-driven definition of metastable brain states and
trajectories characterizes group differences in various brain
processes
M. Sourty, L. Dormegny-Jeanjean, J. Bahuguna, A. Moreau, D.
Battaglia, J. Foucher
ICube laboratory, University of Strasbourg, FMTS, Strasbourg, France
Impact: Reproducibility of these highly segregated brain
configurations between subjects supports the adequacy of
models describing brain dynamics as transitions in a
multistable state-space. Our method comes with an appealing
temporal resolution to study pathological or/and individual
brain activity trajectories.
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15:54 |
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1345. Intra-
and inter-regional neural activity synchronizations drive rsfMRI
network dynamics upon single thalamic input
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L. Xie, X. Wang, X. Lin, J. Wen, A. T. L. Leong, E. X.
Wu
The University of Hong Kong, Hong Kong SAR, China
Impact: Our results provide the first direct delineation
and validation of rsfMRI network dynamics that enable prompt
and flexible network reconfiguration to facilitate effective
processing of any neural information input.
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16:06 |
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1346. The
default mode network is causally involved in memory retrieval
and network integration plays a key role in this process
Z. Li, D. Athwal, K-H Chuang
The University of Queensland, Brisbane, Australia
Impact: Our results show that DMN plays a causal role in
memory processes, emphasizing the importance of network
integration for memory. These findings enhance our
understanding of DMN's involvement in higher-order cognition
and offer potential measurement methods for various brain
disorders.
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16:18 |
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1347. Connectome
caricatures: large-amplitude co-activation patterns in
resting-state fMRI hide sources of individual differences
R. Rodriguez, S. Noble, C. Camp, D. Scheinost
Yale University, New Haven, United States
Impact: A distinct signal carrying information about
individual differences exists beyond the dominating
co-activations that drive resting-state functional
connectivity. This signal may better characterize the
brain’s intrinsic functional architecture and can be used to
evaluate novel sources of individual differences.
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16:30 |
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1348. Detection
of white and gray matter functional networks in the human
cervical spinal cord at 7T using resting-state BOLD fMRI
J. Polcari, A. Sengupta, A. Witt, S. Smith, R. Barry, L. M.
Chen, J. Gore
Vanderbilt University Medical Center, Nashville, United States
Impact: ICA of 7T human spinal cord fMRI revealed new
functional networks being robustly detected within GM and WM
of cervical SC which will help in better understanding the
sensorimotor integration of information within the SC and
thus have clinical significance.
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16:42 |
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1349. Brain-wide
spatiotemporally distinct traveling waves drive anxiety-like
behaviors in mice
J. Liu, J-W Mo, X. Wang, Y. Ma, P-L Kong, Z. An, L. Ding, J.
Ren, C-L Lu, C. Tong, E. X. Wu, Q-g Hu, X. Cao, Y. Feng
Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, China
Impact: Our study provide brain-wide view of the
traveling wave propagation and reveals their functional role
in inducing anxiety.
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16:54 |
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1350. Optogenetic-silencing
mouse fMRI reveals spontaneous neural activity propagating
through polysynaptic structural connectivity
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H. S. Moon, S-G Kim
Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of
Impact: This study aimed to elucidate the relationship
between resting-state functional connectivity and causal
neural interactions assessed by optogenetic fMRI, with a
specific focus on the role of polysynaptic structural
pathways.
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17:06 |
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1351. layerfMRI-toolbox
helps to automatize high-resolution whole-brain layer
segmentation in volume space with minimum manual editing.
M. Barilari, K. Koiso, P. Taylor, O. Gulban, D. Glenn, P.
Bandettini, O. Collignon, R. Huber
Universitè Cathoulique de Louvain, Louvain-La-Neuve, Belgium
Impact: We proposed an easy to use software toolbox that
can standardize and streamline layer-fMRI analyses. It is
scalable across large N studies with minimal necessity for
manual corrections.
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17:18 |
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1352. Biophysical
simulations using realistic Vascular Anatomical Networks predict
BOLD response attenuation at high stimulation frequencies
G. Hartung, D. Gomez, J. S. Proulx, J. Polimeni
Technical University of Darmstadt, Wetter, Germany
Impact: The role of vascular anatomy in BOLD
responses attenuation at higher-frequency sensory
stimulation is unclear. We apply biophysical modeling to
investigate whether the cerebral cortical microvascular
network influences BOLD dynamics and generates discrepancies
between blood volume and oxygenation responses.
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