title: Functional modularity of background activities in normal and epileptic brain networks.
abstract: We analyze the connectivity structure of weighted brain networks extracted from spontaneous magnetoencephalographic signals of healthy subjects and epileptic patients (suffering from absence seizures) recorded at rest. We find that, for the activities in the 5-14 Hz range, healthy brains exhibit a sparse connectivity, whereas the brain networks of patients display a rich connectivity with a clear modular structure. Our results suggest that modularity plays a key role in the functional organization of brain areas during normal and pathological neural activities at rest.
authors.affiliation: CNRS UMR-7225, Hôpital de la Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.
authors.forename: M
authors.initials: M
authors.lastname: Chavez
authors.forename: M
authors.initials: M
authors.lastname: Valencia
authors.forename: V
authors.initials: V
authors.lastname: Navarro
authors.forename: V
authors.initials: V
authors.lastname: Latora
authors.forename: J
authors.initials: J
authors.lastname: Martinerie
mesh_terms: D000200:Action Potentials; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D015225:Magnetoencephalography; D008297:Male; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*