Format

Send to

Choose Destination
Philos Trans A Math Phys Eng Sci. 2010 Dec 28;368(1933):5633-44. doi: 10.1098/rsta.2010.0279.

Modelling hierarchical structure in functional brain networks.

Author information

1
Centro Atómico Bariloche, Instituto Balseiro, CONICET, Bariloche, 8400 Río Negro, Argentina. gleiser@cab.cnea.gov.ar

Abstract

In this work, we focus on a complex-network approach for the study of the brain. In particular, we consider functional brain networks, where the vertices represent different anatomical regions and the links their functional connectivity. First, we build these networks using data obtained with functional magnetic resonance imaging. Then, we analyse the main characteristics of these complex networks, including degree distribution, the presence of modules and hierarchical structure. Finally, we present a network model with dynamical nodes and adaptive links. We show that the model allows for the emergence of complex networks with characteristics similar to those observed in functional brain networks.

PMID:
21078639
DOI:
10.1098/rsta.2010.0279
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for HighWire
Loading ...
Support Center