Assortative mixing in functional brain networks during epileptic seizures

被引:56
作者
Bialonski, Stephan [1 ]
Lehnertz, Klaus [2 ,3 ,4 ]
机构
[1] Max Planck Inst Phys Komplexer Syst, D-01187 Dresden, Germany
[2] Univ Bonn, Dept Epileptol, D-53105 Bonn, Germany
[3] Univ Bonn, Helmholtz Inst Radiat & Nucl Phys, D-53115 Bonn, Germany
[4] Univ Bonn, Interdisciplinary Ctr Complex Syst, D-53175 Bonn, Germany
关键词
GRAPH-THEORETICAL ANALYSIS; MESIAL TEMPORAL-LOBE; COMPLEX NETWORKS; SMALL-WORLD; CORTICAL NETWORKS; CONNECTIVITY; SYNCHRONIZABILITY; ORGANIZATION; TOPOLOGY; DYNAMICS;
D O I
10.1063/1.4821915
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate assortativity of functional brain networks before, during, and after one-hundred epileptic seizures with different anatomical onset locations. We construct binary functional networks from multi-channel electroencephalographic data recorded from 60 epilepsy patients; and from time-resolved estimates of the assortativity coefficient, we conclude that positive degree-degree correlations are inherent to seizure dynamics. While seizures evolve, an increasing assortativity indicates a segregation of the underlying functional network into groups of brain regions that are only sparsely interconnected, if at all. Interestingly, assortativity decreases already prior to seizure end. Together with previous observations of characteristic temporal evolutions of global statistical properties and synchronizability of epileptic brain networks, our findings may help to gain deeper insights into the complicated dynamics underlying generation, propagation, and termination of seizures. (C) 2013 AIP Publishing LLC.
引用
收藏
页数:9
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