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Abstract #3636

Functional connectivity mapping using 3D GRASE arterial spin labeling MRI

Kalen J. Petersen1, Daniel O. Claassen2, and Manus J. Donahue3

1Chemical and Physical Biology, Vanderbilt, Nashville, TN, United States, 2Neurology, Vanderbilt, 3Radiology, Vanderbilt

The overall goal of this work is to optimize arterial spin labeling (ASL) MRI techniques to enable the use of baseline cerebral blood flow (CBF) fluctuations to identify major intrinsically-connected resting state networks (RSNs). We provide data in support of 3D GRASE pCASL being able to provide similar functional resting state networks as BOLD. Additionally, extremely low-frequency fluctuations, less than 0.01 Hz, were present in the CBF-weighted pCASL data, suggesting that application of pCASL may provide additional functional information relative to BOLD, which generally requires low-frequency filtering.

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