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Revealing modular architecture of human brain structural networks by using cortical thickness from MRI.

Authors
  • Chen, Zhang J
  • He, Yong
  • Rosa-Neto, Pedro
  • Germann, Jurgen
  • Evans, Alan C
Type
Published Article
Journal
Cerebral Cortex
Publisher
Oxford University Press
Publication Date
Oct 01, 2008
Volume
18
Issue
10
Pages
2374–2381
Identifiers
DOI: 10.1093/cercor/bhn003
PMID: 18267952
Source
Medline
License
Unknown

Abstract

Modularity, presumably shaped by evolutionary constraints, underlies the functionality of most complex networks ranged from social to biological networks. However, it remains largely unknown in human cortical networks. In a previous study, we demonstrated a network of correlations of cortical thickness among specific cortical areas and speculated that these correlations reflected an underlying structural connectivity among those brain regions. Here, we further investigated the intrinsic modular architecture of the human brain network derived from cortical thickness measurement. Modules were defined as groups of cortical regions that are connected morphologically to achieve the maximum network modularity. We show that the human cortical network is organized into 6 topological modules that closely overlap known functional domains such as auditory/language, strategic/executive, sensorimotor, visual, and mnemonic processing. The identified structure-based modular architecture may provide new insights into the functionality of cortical regions and connections between structural brain modules. This study provides the first report of modular architecture of the structural network in the human brain using cortical thickness measurements.

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