Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states.

ABSTRACT: A major challenge in neuroscience is determining a quantitative relationship between the brain's white matter structural connectivity and emergent activity. We seek to uncover the intrinsic relationship among brain regions fundamental to their functional activity by constructing a pairwise maximum entropy model (MEM) of the inter-ictal activation patterns of five patients with medically refractory epilepsy over an average of ~14 hours of band-passed intracranial EEG (iEEG) recordings per patient. We find that the pairwise MEM accurately predicts iEEG electrodes' activation patterns' probability and their pairwise correlations. We demonstrate that the estimated pairwise MEM's interaction weights predict structural connectivity and its strength over several frequencies significantly beyond w

SUBMITTER: Ashourvan A 

PROVIDER: S-EPMC7887247 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature