Scale-free brain functional networks

Victor M. Eguíluz*, Dante R. Chialvo, Guillermo A. Cecchi, Marwan Baliki, A. Vania Apkarian

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1063 Scopus citations

Abstract

Functional magnetic resonance imaging is used to extract 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 versus 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.

Original languageEnglish (US)
Article number018102
JournalPhysical review letters
Volume94
Issue number1
DOIs
StatePublished - Jan 14 2005

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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