title: Hierarchical organization unveiled by functional connectivity in complex brain networks.
abstract: How do diverse dynamical patterns arise from the topology of complex networks? We study synchronization dynamics in the cortical brain network of the cat, which displays a hierarchically clustered organization, by modeling each node (cortical area) with a subnetwork of interacting excitable neurons. We find that in the biologically plausible regime the dynamics exhibits a hierarchical modular organization, in particular, revealing functional clusters coinciding with the anatomical communities at different scales. Our results provide insights into the relationship between network topology and functional organization of complex brain networks.
authors.affiliation: Institute of Physics, University of Potsdam PF 601553, 14415 Potsdam, Germany.
authors.forename: Changsong
authors.initials: C
authors.lastname: Zhou
authors.forename: Lucia
authors.initials: L
authors.lastname: Zemanová
authors.forename: Gorka
authors.initials: G
authors.lastname: Zamora
authors.forename: Claus C
authors.initials: CC
authors.lastname: Hilgetag
authors.forename: Jürgen
authors.initials: J
authors.lastname: Kurths
mesh_terms: D000818:Animals; D002415:Cats; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology