Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics.

ABSTRACT: Information processing in the human brain can be modeled as a complex dynamical system operating out of equilibrium with multiple regions interacting nonlinearly. Yet, despite extensive study of the global level of nonequilibrium in the brain, quantifying the irreversibility of interactions among brain regions at multiple levels remains an unresolved challenge. Here, we present the Directed Multiplex Visibility Graph Irreversibility framework, a method for analyzing neural recordings using network analysis of time-series. Our approach constructs directed multilayer graphs from multivariate time-series where information about irreversibility can be decoded from the marginal degree distributions across the layers, which each represents a variable. This framework is able to quantify the irrev

SUBMITTER: Nartallo-Kaluarachchi R 

PROVIDER: S-EPMC11912438 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature