Complex modular structure of large-scale brain networks

被引：76

作者：

Valencia, M. ^{[1
]}

Pastor, M. A. ^{[2
,3
]}

Fernandez-Seara, M. A. ^{[2
,3
]}

Artieda, J. ^{[2
,3
]}

Martinerie, J. ^{[1
]}

Chavez, M. ^{[1
]}

机构：

[1] LENA CNRS UPR 640, Lab Neurosci Cognit & Imagerie Cerebrale, F-75651 Paris, France

[2] Univ Navarra, Sch Med, Ctr Appl Med Res, Dept Neurol Sci, Pamplona 31008, Spain

[3] Univ Navarra Clin, Pamplona 31008, Spain

来源：

CHAOS | 2009年 / 19卷 / 02期

关键词：

FUNCTIONAL CONNECTIVITY; ARCHITECTURE; EMERGENCE; SIGNAL; MRI;

D O I：

10.1063/1.3129783

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Modular structure is ubiquitous among real-world networks from related proteins to social groups. Here we analyze the modular organization of brain networks at a large scale (voxel level) extracted from functional magnetic resonance imaging signals. By using a random-walk-based method, we unveil the modularity of brain webs and show modules with a spatial distribution that matches anatomical structures with functional significance. The functional role of each node in the network is studied by analyzing its patterns of inter-and intramodular connections. Results suggest that the modular architecture constitutes the structural basis for the coexistence of functional integration of distant and specialized brain areas during normal brain activities at rest. (C) 2009 American Institute of Physics. [DOI: 10.1063/1.3129783]

引用

页数：7

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