Bursty properties revealed in large-scale brain networks with a point-based method for dynamic functional connectivity.

ABSTRACT: The brain is organized into large scale spatial networks that can be detected during periods of rest using fMRI. The brain is also a dynamic organ with activity that changes over time. We developed a method and investigated properties where the connections as a function of time are derived and quantified. The point based method (PBM) presented here derives covariance matrices after clustering individual time points based upon their global spatial pattern. This method achieved increased temporal sensitivity, together with temporal network theory, allowed us to study functional integration between resting-state networks. Our results show that functional integrations between two resting-state networks predominately occurs in bursts of activity. This is followed by varying intermittent periods

SUBMITTER: Thompson WH 

PROVIDER: S-EPMC5171789 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature