Dynamics and evolution of biological and social networks

Scale-free brain functional networks

Author: Víctor M. Eguíluz, IFISC (CSIC-UIB).

Names and affiliation of other authors:
D.R. Chialvo (2), G.A. Cecchi (3), M. Baliki (2), A.V. Apkarian (2)
(2) Department of Physiology, Northwestern University, Chicago, Illinois, 60611, USA;
(3) IBM T.J. Watson Research Center, 1101 Kitchawan Rd., Yorktown Heights, New York 10598, USA

Oral presentation

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.

Formatted version of the abstract or additional information

Dynamics and evolution of biological and social networks. February 18-20th, 2008. Mallorca, Spain.