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Abstract #5384

Dynamic Functional Connectivity within the Default Mode Network is associated with the Complexity of its Network Nodes

Kay Jann1 and Danny JJ Wang1

1Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States

While dynamic functional connectivity (dynFC) provides an estimate of the information transfer between brain network nodes, the signal dynamics at each node represents the local information processing. Here we assessed the relation between dynFC within the default mode network and the complexity/regularity of fMRI signal of network nodes. We found that a more complex and thus less predictable signal in a node allows for a more dynamic connectivity and hence a richer repertoire of different FC states.

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