Modular organization as a basis for the functional integration/segregation in large-scale brain networks

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dc.creatorValencia, M.
dc.creatorPastor, M. A.
dc.creatorFernandez-Seara, MA.
dc.creatorArtieda, J.
dc.creatorMartinerie, J.
dc.creatorChavez, M.
dc.date2009-01-12
dc.date2009-04-16
dc.date.accessioned2026-07-07T13:04:06Z
dc.date.available2026-07-07T13:04:06Z
dc.descriptionModular 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 (fMRI) signals. By using a random walk-based method, we unveil the modularity of brain-webs, and show that 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 intra-modular 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.
dc.description8 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/0901.1605
dc.identifierhttp://arxiv.org/abs/0901.1605
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/227042
dc.subjectData Analysis, Statistics and Probability
dc.subjectBiological Physics
dc.subjectNeurons and Cognition
dc.titleModular organization as a basis for the functional integration/segregation in large-scale brain networks
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