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Scale-free brain functional networks | | Victor M. Eguiluz
; Dante R. Chialvo
; Guillermo A. Cecchi
; Marwan Baliki
; A. Vania Apkarian
; | | Date: |
4 Sep 2003 | | Journal: | Physical Review Letters 94, 018102 (2005) DOI: 10.1103/PhysRevLett.94.018102 | | Subject: | Disordered Systems and Neural Networks; Neurons and Cognition | cond-mat.dis-nn q-bio.NC | | Abstract: | Functional 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. | | Source: | arXiv, cond-mat/0309092 | | Other source: | [GID 1098252] pmid15698136 | | Services: | Forum | Review | PDF | Favorites | |
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