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.
Type de document :
Article dans une revue
Physical Review Letters, American Physical Society, 2010, 104 (11), pp.118701. 〈10.1103/PhysRevLett.104.118502〉
Liste complète des métadonnées

https://hal.inria.fr/hal-00795761
Contributeur : Olivier Colliot <>
Soumis le : jeudi 28 février 2013 - 19:42:24
Dernière modification le : mercredi 21 mars 2018 - 18:57:48

Identifiants

Collections

UPMC | ICM

Citation

M. Chavez, Miguel Valencia, V. Latora, Jacques Martinerie. Functional modularity of background activities in normal and epileptic brain networks.. Physical Review Letters, American Physical Society, 2010, 104 (11), pp.118701. 〈10.1103/PhysRevLett.104.118502〉. 〈hal-00795761〉

Partager

Métriques

Consultations de la notice

86