Cohesive network reconfiguration accompanies extended training.

ABSTRACT: Human behavior is supported by flexible neurophysiological processes that enable the fine-scale manipulation of information across distributed neural circuits. Yet, approaches for understanding the dynamics of these circuit interactions have been limited. One promising avenue for quantifying and describing these dynamics lies in multilayer network models. Here, networks are composed of nodes (which represent brain regions) and time-dependent edges (which represent statistical similarities in activity time series). We use this approach to examine functional connectivity measured by non-invasive neuroimaging techniques. These multilayer network models facilitate the examination of changes in the pattern of statistical interactions between large-scale brain regions that might facilitate behav

SUBMITTER: Telesford QK 

PROVIDER: S-EPMC5554863 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature