General relationship of global topology, local dynamics, and directionality in large-scale brain networks.

ABSTRACT: The balance of global integration and functional specialization is a critical feature of efficient brain networks, but the relationship of global topology, local node dynamics and information flow across networks has yet to be identified. One critical step in elucidating this relationship is the identification of governing principles underlying the directionality of interactions between nodes. Here, we demonstrate such principles through analytical solutions based on the phase lead/lag relationships of general oscillator models in networks. We confirm analytical results with computational simulations using general model networks and anatomical brain networks, as well as high-density electroencephalography collected from humans in the conscious and anesthetized states. Analytical, computati

SUBMITTER: Moon JY 

PROVIDER: S-EPMC4397097 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature