The energy landscape underpinning module dynamics in the human brain connectome.

ABSTRACT: Human brain dynamics can be viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing mental states. Many physically-inspired models of these dynamics define brain states based on instantaneous measurements of regional activity. Yet, recent work in network neuroscience has provided evidence that the brain might also be well-characterized by time-varying states composed of locally coherent activity or functional modules. We study this network-based notion of brain state to understand how functional modules dynamically interact with one another to perform cognitive functions. We estimate the functional relationships between regions of interest (ROIs) by fitting a pair-wise maximum entropy model to each ROI's p

SUBMITTER: Ashourvan A 

PROVIDER: S-EPMC5600845 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature