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Abstract #3345

A Potential Global Brain Network Identified Using Resting State Arterial Spin Labeling

Weiying Dai1,2, Li Zhao1, and David Alsop1

1Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States, 2Computer Science, State University of New York at Binghamton, Binghamton, NY, United States

ASL global signal fluctuations, uniformly correlated across gray matter, may reflect globally correlated neural activity that would suggest a global resting network. However, physiological noise, such as cardiac and respiratory motion, could potentially contribute to the global signal fluctuations. Our results indicate that the systemic noise does not contribute to the ASL global signal fluctuation significantly. Global signal fluctuations are the dominant resting fluctuations of the ASL signal, suggesting a separate globally correlated resting state network in addition to those region-specific resting state networks.

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