Functional Modularity of Background Activities in Normal and Epileptic Brain Networks

被引：202

作者：

Chavez, M. ^{[1
]}

Valencia, M. ^{[1
]}

Navarro, V. ^{[2
]}

Latora, V. ^{[3
,4
,5
]}

Martinerie, J. ^{[1
]}

机构：

[1] Hop La Pitie Salpetriere, CNRS, UMR 7225, F-75013 Paris, France

[2] Hop La Pitie Salpetriere, Epilepsy Unit, Paris, France

[3] Univ Catania, Dipartimento Fis & Astron, I-95123 Catania, Italy

[4] Ist Nazl Fis Nucl, I-95123 Catania, Italy

[5] Scuola Super Catania, Lab Sistemi Complessi, I-95123 Catania, Italy

来源：

PHYSICAL REVIEW LETTERS | 2010年 / 104卷 / 11期

关键词：

SMALL-WORLD NETWORK; PHASE SYNCHRONIZATION; METABOLIC NETWORKS; ORGANIZATION; RECORDINGS; TOPOLOGY; DYNAMICS;

D O I：

10.1103/PhysRevLett.104.118701

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We analyze the connectivity structure of weighted brain networks extracted from spontaneous magnetoencephalographic signals of healthy subjects and epileptic patients (suffering from absence seizures) recorded at rest. We find that, for the activities in the 5-14 Hz range, healthy brains exhibit a sparse connectivity, whereas the brain networks of patients display a rich connectivity with a clear modular structure. Our results suggest that modularity plays a key role in the functional organization of brain areas during normal and pathological neural activities at rest.

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页数：4

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