Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome

被引：318

作者：

Haimovici, Ariel ^{[1
,2
]}

Tagliazucchi, Enzo ^{[3
,4
]}

Balenzuela, Pablo ^{[1
,2
]}

Chialvo, Dante R. ^{[2
,5
,6
]}

机构：

[1] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Fis, RA-1428 Buenos Aires, DF, Argentina

[2] Consejo Nacl Invest Cient & Tecn, RA-1033 Buenos Aires, DF, Argentina

[3] Goethe Univ Frankfurt, Dept Neurol, D-60528 Frankfurt, Germany

[4] Goethe Univ Frankfurt, Brain Imaging Ctr, D-60528 Frankfurt, Germany

[5] Univ Nacl Rosario, Fac Ciencias Med, RA-2000 Rosario, Santa Fe, Argentina

[6] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA 90095 USA

来源：

PHYSICAL REVIEW LETTERS | 2013年 / 110卷 / 17期

关键词：

INDEPENDENT COMPONENT ANALYSIS; CONNECTIVITY;

D O I：

10.1103/PhysRevLett.110.178101

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the empirically derived network of human brain neuroanatomical connections. The results show that critical dynamics unfolding on the structural connectivity of the human brain allow the recovery of many key experimental findings obtained from functional magnetic resonance imaging, such as divergence of the correlation length, the anomalous scaling of correlation fluctuations, and the emergence of large-scale resting state networks. DOI: 10.1103/PhysRevLett.110.178101

引用

页数：4

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