Hierarchical Functional Modularity in the Resting-State Human Brain

L. Ferrarini, I.M. Veer, E. Baerends, M.J. van Tol, R.J. Renken, N.J.A. van der Wee, D.J. Veltman, A. Aleman, F.G. Zitman, B.W.J.H. Penninx, M.A. van Buchem, J.H.C. Reiber, S.A.R.B. Rombouts, J. Milles

    Research output: Contribution to JournalArticleAcademicpeer-review

    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. © 2008 Wiley-Liss, Inc.
    Original languageEnglish
    Pages (from-to)2220-2231
    JournalHuman Brain Mapping
    Volume30
    Issue number7
    DOIs
    Publication statusPublished - 2009

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