Abstract #3594
Connectivity and Perfusion Analyses with Simultaneous MultiSlice (SMS) Resting-State fMRI
Thomas Christen 1 , Samantha Holdsworth 1 , Hesamoddin Jahanian 1 , Hua Wu 2 , Kangrong Zhu 3 , Adam Kerr 3 , Matthew J Middione 4 , Robert F Dougherty 2 , Michael Moseley 1 , and Greg Zaharchuk 1
1
Department of Radiology, Stanford
University, Stanford, California, United States,
2
Center
for Cognitive and Neurobiological Imaging, Stanford
University, Stanford, California, United States,
3
Department
of Electrical Engineering, Stanford University,
Stanford, California, United States,
4
Applied
Sciences Laboratory West, GE Healthcare, Menlo Park,
California, United States
In this work, we acquired whole brain, high-temporal
resolution (TR=350ms) resting-state BOLD fMRI data in
volunteers and Moyamoya patients using a Simultaneous
MultiSlice (SMS)-EPI technique. Using seed signals
chosen from blood vessels or the precuneus region and
after correlation analyses across different parts of the
frequency spectrum, we derived functional network maps,
blood volume-weighted images, and blood arrival time.
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