Emergence of metastability in frustrated oscillatory networks: the key role of hierarchical modularity.

ABSTRACT: Oscillatory complex networks in the metastable regime have been used to study the emergence of integrated and segregated activity in the brain, which are hypothesised to be fundamental for cognition. Yet, the parameters and the underlying mechanisms necessary to achieve the metastable regime are hard to identify, often relying on maximising the correlation with empirical functional connectivity dynamics. Here, we propose and show that the brain's hierarchically modular mesoscale structure alone can give rise to robust metastable dynamics and (metastable) chimera states in the presence of phase frustration. We construct unweighted 3-layer hierarchical networks of identical Kuramoto-Sakaguchi oscillators, parameterized by the average degree of the network and a structural parameter determini

SUBMITTER: Caprioglio E 

PROVIDER: S-EPMC11372895 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature