Digital Poster
fMRI Methods
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 81
2500. Comparing
BOLD contamination in CBV-based fMRI with conventional EPI and
echo-planar time-resolved imaging (EPTI) at 7 T
D. Haenelt, Z. Dong, Z. Hu, K. Setsompop, F. Wang, J.
Polimeni
Massachusetts General Hospital, Charlestown, United States
Impact: This work underscores the limitations of
conventional BOLD correction techniques for VASO fMRI and
evaluates EPTI for removing unwanted BOLD contamination.
Both approaches appear unable to isolate pure CBV weighting
in VASO data.
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Computer Number: 82
2501. Evaluation
of the variations in functional connectivity between blip-up and
blip-down phase encodings
Y. Wang, X. Sun, Y. Zhang, N. An, N. Xu, M. Li, X. Liu, J.
Gao, T. Chen, K. Sun, H. Liu
Changping Laboratory, Beijing, China
Impact: Our research evaluated the variations in
functional connectivity between blip-up and blip-down phase
encodings, offering a foundation for selecting the
appropriate phase encoding direction in resting state fMRI.
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Computer Number: 83
2502. Functional
connectivity strength in subjective cognitive decline through
rs-fMRI on 5T MRI: comparison of single-echo BOLD and multi-echo
BOLD
L. Zou, Y. Chen, H. Yang, F. Chen, Y. Li, B. Zhang, X. Liu,
H. Zheng
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact:
This is the first successful attempt for ME-BOLD to small datasets on 5T, in which the increased gFCS of the parahippocampal gyrus has potential to serve as sensitive neuroimaging biomarkers for the preclinical detection of individuals with incipient AD. |
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Computer Number: 84
2503. Designing
a 3T functional sodium MRI (fNaI) experiment with visual stimuli
S. Rot, B. Solanky, C. Gandini Wheeler-Kingshott
UCL, London, United Kingdom
Impact: Functional sodium MRI (fNaI) promises a more
direct measurement of neuronal activity. Clusters of signal
changes with visual stimuli are reported at a relaxed
statistical threshold. We suggest fNaI would benefit greatly
from higher SNR at ultrahigh field strengths.
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Computer Number: 85
2504. MRI
Goes Mobile: Assessing the Reliability and Repeatability of a
Mobile vs. Stationary 1.5T MRI for Functional Neuroscience
Studies
C. Aigner, C. Garcia Forlim, D. Santoro, N. Bodammer, R.
Brühl, S. Sudimac, K. Schmalen, S. Schröder, S. Mohammadi,
S. Kühn
Max Planck Institute for Human Development, Berlin, Germany
Impact: Mobile high-field 1.5T MRI scanners can bring
neuroscience imaging to underserved areas. This study shows
how a mobile scanner, even after relocation, can achieve
comparable quality to a stationary scanner expanding the
potential for broader functional neuroscience research.
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Computer Number: 86
2505. Clinically
feasible resting-state functional MRI as an alternative to
preoperative language and motor task-based functional MRI
I. Verdon, J. Ansell, A. Albusaidi, J. Jarosz, M. Borri
King's College Hospital, London, United Kingdom
Impact: The
automated resting-state functional MRI (rs-fMRI) pipeline,
using standardised seeds, produces resting-state networks
optimised for comparison with task-based (tb)-fMRI and shows
promise as an alternative for preoperative language and
motor mapping. Future work will explore language
lateralisation and rs-fMRI-driven tractography.
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Computer Number: 87
2506. Quantifying
the effects of noise variance level on functional connectivity
in fMRI under different tasks or conditions: a simulation study
U. Sakoglu
University of Houston - Clear Lake, Houston, United States
Impact: This study reveals that caution should be taken
while applying and interpreting (static) FC analyses of fMRI
signals due to noise inflating FC; (dynamic) DFC analysis,
capturing the dynamics of the variability, partially
mitigates the inflation of FC.
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Computer Number: 88
2507. Test-Retest
Validation of Pulsatility Measurement Using Resting-State
Functional Magnetic Resonance Imaging
J. Chen, H. Li, N. Cross, J. Lv, X. Hu, Z. Chen, H. Wang
Fudan University, Shanghai, China
Impact: The nSD pulsatility demonstrated moderate
reliability, suggesting that further evaluation and
optimization of imaging protocol and algorithm are needed
before broader application.
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Computer Number: 89
2508. Resting
state networks from functional conductivity imaging
J. Cao, I. Ball, B. Cassidy, C. Rae
Neuroscience Research Australia, Randwick, Australia
Impact: Tissue electrical conductivity time series can
be used to construct robust network information that
provides a different perspective to the more common BOLD
rsfMRI.
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Computer Number: 90
2509. Mid-term
Interval Reliability of Multi-echo based Resting-state
Functional Connectivity on a Compact 3T Scanner
D. Kang, K. Welker, M-H In, D. Hermes, J. Huston III, J.
Trzasko, Y. Shu
Mayo Clinic, Rochester, United States
Impact: A
reliability-based thresholding method may offer an
alternative approach than traditional FC strength-based
methods for assessing mid-term brain connectome changes.
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Computer Number: 91
2510. Inverted
U-shape modulation of locus coeruleus (LC) norepinephrine (NE)
neurons on functional network dynamics
C. Tong, W. Li, Y. Zou, M. Pei, X. Xia, K. Zhang, Z. Liang
Center for Excellence in Brain Science and Intelligence Technology (Institute of Neuroscience), CAS, Shanghai, China
Impact: We provided the causal evidence of arousal
modulated inverted U-shape modulation on global FC dynamics
by LC-NE activities, uncovering the potential neural
mechanism of arousal modulated inverted U-shape behavioral
performance in humans.
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Computer Number: 92
2511. Exploring
the Influence of Cortical Microstructural Diffusion on
Functional Brain Networks
Y. Wu, S. Shang, J. Zhang, H. Zhang
Northern Jiangsu People’s Hospital of Jiangsu Province, Yangzhou, China
Impact: This study demonstrates that diffusion kurtosis
imaging (DKI) effectively maps cortical microstructural
properties, providing insights into brain network
organization and offering potential for diagnosing and
monitoring neurodegenerative conditions.
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Computer Number: 93
2512. Evaluating
the relationship between microgravity and changes in brain
functional activity through head down tilt bed rest test: a
pilot study
J. Huang, J. Lin, S. Wang, Y. Li, Y. Xiong, D. Zhang, L.
Zhang, X. Wang, H. Lu, X. Wang, C. He, Z. Li, M. Hou, X. Lou
The First Medical Center, Chinese PLA General Hospital, Beijing, China
Impact: Different brain functional features have
different sensitivities to microgravity exposure, deeper
exploration of brain function may be important for
understanding the role and effects of microgravity on brain
health.
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Computer Number: 94
2513. Hippocampal
functional connectivity using dynamic ASL and BOLD
Y. Zhang, S. Chen, Z. Zhang, A. Dalton, J. Weinstein, X. He,
W. Dai
State University of New York at Binghamton, Binghamton, United States
Impact: The HPC rsFC of DASL and the extent to which it
accurately reflects brain function are critical for its
applications in both clinical and neuroscience research,
especially for many neurological and psychiatric disorders.
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Computer Number: 95
2514. Mapping
Cortical Flexibility in Infancy Using Multiscale Functional
Connectivity Gradients
H. P. Taylor, K. Minh-Huynh, K-H Thung, G. Lin, S. Ahmad,
P-T Yap
University of North Carolina at Chapel Hill, Chapel Hill, United States
Impact: This abstract presents a novel method for
multiscale dynamic functional connectivity gradients,
reducing parameter sensitivity, and introduces an efficient
metric for cortical flexibility, significantly advancing
understanding of cortical development in infancy through
analysis of extensive high-quality fMRI data.
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Computer Number: 96
2515. The
impact of postural changes on resting-state functional
connectivity in healthy brains based on mutli-position
helium-free MRI
Y. Zhang, R. Qi, B. Zhang
Nanjing Drum Tower Hospital, School of Social Sciences，Nanjing University , Nanjing, China
Impact: Multi-position helium-free 1.5T MRI helps
investigate the functional states of various diseases in
daily upright posture. It opens a new chapter in brain
science research.
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