| Literature DB >> 18830955 |
Luca Ferrarini1, Ilya M Veer, Evelinda Baerends, Marie-José van Tol, Remco J Renken, Nic J A van der Wee, Dirk J Veltman, André Aleman, Frans G Zitman, Brenda W J H Penninx, Mark A van Buchem, Johan H C Reiber, Serge A R B Rombouts, Julien Milles.
Abstract
Functional magnetic resonance imaging (fMRI) studies have shown that anatomically distinct brain regions are functionally connected during the resting state. Basic topological properties in the brain functional connectivity (BFC) map have highlighted the BFC's small-world topology. Modularity, a more advanced topological property, has been hypothesized to be evolutionary advantageous, contributing to adaptive aspects of anatomical and functional brain connectivity. However, current definitions of modularity for complex networks focus on nonoverlapping clusters, and are seriously limited by disregarding inclusive relationships. Therefore, BFC's modularity has been mainly qualitatively investigated. Here, we introduce a new definition of modularity, based on a recently improved clustering measurement, which overcomes limitations of previous definitions, and apply it to the study of BFC in resting state fMRI of 53 healthy subjects. Results show hierarchical functional modularity in the brain. Copyright 2009 Wiley-Liss, IncEntities:
Mesh:
Year: 2009 PMID: 18830955 PMCID: PMC6871119 DOI: 10.1002/hbm.20663
Source DB: PubMed Journal: Hum Brain Mapp ISSN: 1065-9471 Impact factor: 5.038