Assortative mixing in functional brain networks during epileptic seizures
Assortative mixing in functional brain networks during epileptic seizures
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DOI：
10.1063/1.4821915
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发表时间：
2013-09-01
期刊：
影响因子：
2.9
通讯作者：
Lehnertz, Klaus
中科院分区：
文献类型：
--
作者：
Bialonski, Stephan;Lehnertz, Klaus
我们研究了100例不同解剖位置的癫痫发作前、期间和之后的脑功能网络的协调性。利用60例癫痫患者的多通道脑电图数据构建二值功能网络；从分类系数的时间分辨估计，我们得出结论，积极程度的相关性是固有的缉获动态。随着癫痫发作的发展，越来越多的分类表明，潜在的功能网络被分离成大脑区域群，这些区域之间即使有联系，也只是稀疏地联系在一起。有趣的是，协调性在癫痫发作结束前就已经下降了。结合先前对癫痫脑网络的全球统计特性和同步性的特征时间演化的观察，我们的发现可能有助于更深入地了解癫痫发作的产生、传播和终止背后的复杂动力学。(C) 2013 AIP出版有限责任公司
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.