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Hierarchical functional modularity in the resting-state human brain

✍ Scribed by Luca Ferrarini; 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

Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
728 KB
Volume
30
Category
Article
ISSN
1065-9471

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✦ Synopsis

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. Hum Brain Mapp, 2009. © 2008 Wiley‐Liss, Inc.

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