Geier Christian, Bialonski Stephan, Elger Christian E, Lehnertz Klaus
Department of Epileptology, University of Bonn, Sigmund-Freud-Straße 25, 53105 Bonn, Germany; Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Nussallee 14-16, 53115 Bonn, Germany.
Max Planck Institute for the Physics of Complex Systems, Nöthnizer Straße 38, 01187 Dresden, Germany.
Seizure. 2015 Feb;25:160-6. doi: 10.1016/j.seizure.2014.10.013. Epub 2014 Oct 31.
Research into epileptic networks has recently allowed deeper insights into the epileptic process. Here we investigated the importance of individual network nodes for seizure dynamics.
We analysed intracranial electroencephalographic recordings of 86 focal seizures with different anatomical onset locations. With time-resolved correlation analyses, we derived a sequence of weighted epileptic networks spanning the pre-ictal, ictal, and post-ictal period, and each recording site represents a network node. We assessed node importance with commonly used centrality indices that take into account different network properties.
A high variability of temporal evolution of node importance was observed, both intra- and interindividually. Nevertheless, nodes near and far off the seizure onset zone (SOZ) were rated as most important for seizure dynamics more often (65% of cases) than nodes from within the SOZ (35% of cases).
Our findings underline the high relevance of brain outside of the SOZ but within the large-scale epileptic network for seizure dynamics. Knowledge about these network constituents may elucidate targets for individualised therapeutic interventions that aim at preventing seizure generation and spread.
近期对癫痫网络的研究使我们对癫痫过程有了更深入的了解。在此，我们研究了单个网络节点对癫痫发作动态的重要性。
我们分析了86例不同解剖起始部位的局灶性癫痫发作的颅内脑电图记录。通过时间分辨相关性分析，我们得出了一系列跨越发作前期、发作期和发作后期的加权癫痫网络，每个记录部位代表一个网络节点。我们使用考虑不同网络属性的常用中心性指标评估节点的重要性。
在个体内部和个体之间，均观察到节点重要性的时间演变存在高度变异性。然而，发作起始区（SOZ）附近和远处的节点对癫痫发作动态的重要性评级高于SOZ内的节点（分别为65%和35%）。
我们的研究结果强调了SOZ之外但在大规模癫痫网络内的脑区对癫痫发作动态具有高度相关性。了解这些网络组成部分可能有助于阐明旨在预防癫痫发作产生和传播的个体化治疗干预目标。
Zotero 插件