title: Complex modular structure of large-scale brain networks.
abstract: Modular structure is ubiquitous among real-world networks from related proteins to social groups. Here we analyze the modular organization of brain networks at a large scale (voxel level) extracted from functional magnetic resonance imaging signals. By using a random-walk-based method, we unveil the modularity of brain webs and show modules with a spatial distribution that matches anatomical structures with functional significance. The functional role of each node in the network is studied by analyzing its patterns of inter- and intramodular connections. Results suggest that the modular architecture constitutes the structural basis for the coexistence of functional integration of distant and specialized brain areas during normal brain activities at rest.
authors: Laboratoire de Neurosciences Cognitives et Imagerie Cerebrale, LENA-CNRS UPR-640, Paris 75651, France.
authors: M
authors: M
authors: Valencia
authors: M A
authors: MA
authors: Pastor
authors: M A
authors: MA
authors: Fernández-Seara
authors: J
authors: J
authors: Artieda
authors: J
authors: J
authors: Martinerie
authors: M
authors: M
authors: Chavez
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D009415:Nerve Net / Q000033:anatomy & histology* / Q000502:physiology*; D017711:Nonlinear Dynamics