Abstract #3107
CBV-Based Resting-State fMRI: Detecting Intrinsic Brain Activity Using Whole Brain 3D-VASO Imaging
Xinyuan Miao 1 , Hong Gu 2 , Lirong Yan 3 , Hanzhang Lu 4 , Danny JJ Wang 3 , Xiaohong Joe Zhou 5 , Yan Zhuo 1 , and Yihong Yang 2
1
Institute of Biophysics, Chinese Academy of
Sciences, Beijing, Beijing, China,
2
National
Institutes of Health, National Institute on Drug Abuse,
MD, United States,
3
Department of Neurology,
UCLA, Los Angeles, CA, United States,
4
University
of Texas Southwestern Medical Center, Dallas, TX, United
States,
5
Center
for Magnetic Resonance Research and Department of
Radiology, University of Illinois at Chicago, Chicago,
IL, United States
We developed a CBV-based imaging technique to detect
intrinsic brain activity. Spontaneous fluctuations of
CBV-weighted signal were measured by whole-brain,
3D-GRASE VASO imaging. Brain networks were detected
reliably by the VASO technique. Frequency analyses
showed that the VASO signal appeared to contain more
high-frequency oscillations, compared to BOLD.
Susceptibility artifacts were substantially alleviated
in the VASO images and functional connectivity between
striatum and orbital frontal cortex was detected
robustly by the VASO but not BOLD. These results suggest
that the 3D-GRASE VASO imaging may become an attractive
technique for assessing brain functions in regions that
precluded by traditional BOLD techniques.
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