Extreme brain events: Higher-order statistics of brain resting activity and its relation with structural connectivity

被引:15
作者
Amor, T. A. [1 ]
Russo, R. [2 ]
Diez, I. [3 ]
Bharath, P. [4 ]
Zirovich, M. [4 ]
Stramaglia, S. [5 ,6 ,7 ]
Cortes, J. M. [3 ,8 ,9 ]
de Arcangelis, L. [10 ,11 ]
Chialvo, D. R. [12 ]
机构
[1] Univ Buenos Aires, Fac Exact & Nat Sci, Dept Phys, Buenos Aires, DF, Argentina
[2] Univ Naples Federico II, Dept Phys, Naples, Italy
[3] Cruces Univ Hosp, Biocruces Hlth Res Inst, Baracaldo, Spain
[4] VA West Los Angeles Med Ctr, Los Angeles, CA USA
[5] Univ Bari, Dipartimento Fis, Bari, Italy
[6] Ist Nazl Fis Nucl, Sez Bari, I-70126 Bari, Italy
[7] BCAM, Bilbao, Spain
[8] Basque Fdn Sci, Ikerbasque, Bilbao, Spain
[9] Univ Basque Country, Dept Cell Biol & Histol, Leioa, Spain
[10] Univ Naples 2, Dept Ind & Informat Engn, Salerno, CE, Italy
[11] Ist Nazl Fis Nucl, Gr Coll, Salerno, CE, Italy
[12] Natl Sci & Tech Res Council CONICET, Buenos Aires, DF, Argentina
关键词
FUNCTIONAL CONNECTIVITY; ORGANIZATION; CRITICALITY; TRACKING;
D O I
10.1209/0295-5075/111/68007
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The brain exhibits a wide variety of spatiotemporal patterns of neuronal activity recorded using functional magnetic resonance imaging as the so-called blood-oxygenated-level-dependent (BOLD) signal. An active area of work includes efforts to best describe the plethora of these patterns evolving continuously in the brain. Here we explore the third-moment statistics of the brain BOLD signals in the resting state as a proxy to capture extreme BOLD events. We find that the brain signal exhibits typically nonzero skewness, with positive values for cortical regions and negative values for subcortical regions. Furthermore, the combined analysis of structural and functional connectivity demonstrates that relatively more connected regions exhibit activity with high negative skewness. Overall, these results highlight the relevance of recent results emphasizing that the spatiotemporal location of the relatively large-amplitude events in the BOLD time series contains relevant information to reproduce a number of features of the brain dynamics during resting state in health and disease. Copyright (C) EPLA, 2015
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页数:6
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