Scale-free brain functional networks

Simple item page
dc.creatorEguiluz, Victor M.
dc.creatorChialvo, Dante R.
dc.creatorCecchi, Guillermo A.
dc.creatorBaliki, Marwan
dc.creatorApkarian, A. Vania
dc.date2003-09-03
dc.date2005-01-13
dc.date.accessioned2026-07-07T02:53:16Z
dc.date.available2026-07-07T02:53:16Z
dc.descriptionFunctional magnetic resonance imaging (fMRI) is used to extract {\em functional networks} connecting correlated human brain sites. Analysis of the resulting networks in different tasks shows that: (a) the distribution of functional connections, and the probability of finding a link vs. distance are both scale-free, (b) the characteristic path length is small and comparable with those of equivalent random networks, and (c) the clustering coefficient is orders of magnitude larger than those of equivalent random networks. All these properties, typical of scale-free small world networks, reflect important functional information about brain states.
dc.description4 pages, 5 figures, 2 tables
dc.identifierhttps://arxiv.org/abs/cond-mat/0309092
dc.identifierhttp://arxiv.org/abs/cond-mat/0309092
dc.identifierPhysical Review Letters 94, 018102 (2005)
dc.identifierdoi:10.1103/PhysRevLett.94.018102
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/22152
dc.subjectDisordered Systems and Neural Networks
dc.subjectNeurons and Cognition
dc.titleScale-free brain functional networks
dc.typetext

Files

Collections

arXiv