Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks.

ABSTRACT: We investigate the relationship of resting-state fMRI functional connectivity estimated over long periods of time with time-varying functional connectivity estimated over shorter time intervals. We show that using Pearson's correlation to estimate functional connectivity implies that the range of fluctuations of functional connections over short time-scales is subject to statistical constraints imposed by their connectivity strength over longer scales. We present a method for estimating time-varying functional connectivity that is designed to mitigate this issue and allows us to identify episodes where functional connections are unexpectedly strong or weak. We apply this method to data recorded from N=80 participants, and show that the number of unexpectedly strong/weak connections fluctua

SUBMITTER: Betzel RF 

PROVIDER: S-EPMC4755785 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature