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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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