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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