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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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