Large-scale network integration in the human brain tracks temporal fluctuations in memory encoding performance.

ABSTRACT: Although activation/deactivation of specific brain regions has been shown to be predictive of successful memory encoding, the relationship between time-varying large-scale brain networks and fluctuations of memory encoding performance remains unclear. Here, we investigated time-varying functional connectivity patterns across the human brain in periods of 30-40 s, which have recently been implicated in various cognitive functions. During functional magnetic resonance imaging, participants performed a memory encoding task, and their performance was assessed with a subsequent surprise memory test. A graph analysis of functional connectivity patterns revealed that increased integration of the subcortical, default-mode, salience, and visual subnetworks with other subnetworks is a hallmark of su

SUBMITTER: Keerativittayayut R 

PROVIDER: S-EPMC6039182 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature