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Abstract #3964

Analysis of functional connectivity by local bold signal variance

Gregory Kirk 1 , Rasmus Birn 2 , and Andrew Alexander 3

1 Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin,Madison, Madison, Wi, United States, 2 Psychiatry, University of Wisconsin,Madison, Madison, Wi, United States, 3 University of Wisconsin,Madison, Madison, Wisconsin, United States

We present a method of characterizing the state of functional connectivity of every vertex over the entire cerebral cortex on an individual subject level. The method is based on a discovered relation between the synchrony of bold fmri time series in a small neighborhood of a vertex and the scale of global functional connectivity of the time series at the vertex. The scale is defined by the number of vertices with epi time series correlation at or above a reference pearson linear correlation level r. The relation is demonstrated by a large scale computation of 120 resting fmri scans.

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