Investigation of network brain dynamics from EEG measurements in patients with epilepsy using graph-theoretic approaches

Manolis Christodoulakis, M. Anastasiadou, S. Papacostas, E. Papathanasiou, G. Mitsis
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引用次数: 8

Abstract

`Small-world' neuronal networks are characterized by strong clustering in combination with short path length, and assist the progress of synchronization and conceivably seizure procreation. In this article we aim to investigate if the brain networks display `small-world' features during seizures, by using graph-theoretic measures as well as scalp EEG recordings from patients with focal and generalized epilepsy. Specifically, we used linear cross-correlation to characterize patterns between nodes in scalp EEG recordings of 5 patients for 3 periods of interest: before, during and after seizure onset. For each period we reconstruct graphs from the linear cross-correlation calculations and use different network measures to characterize the graphs such as clustering coefficient, characteristic path length, betweenness centrality and network small-world-ness. In three (out of five) patients, our results suggest that shortly after seizure onset and in the early postictal period the brain network changes towards a more small-world structure, in agreement with earlier graph-theoretic based results related to epilepsy. However, for one patient the opposite was observed: small-worldness decreased after seizure onset. Finally, for one patient we could observe no differences in the network properties before and after the onset. These preliminary results suggest the potential use of graph-theoretic measures to quantify brain dynamics before and during seizures after further refinements.
用图论方法研究癫痫患者脑电图测量的网络脑动力学
“小世界”神经元网络的特点是强聚类与短路径长度相结合,并有助于同步和可想象的癫痫繁殖的进展。在这篇文章中,我们的目的是通过图论测量以及局灶性和全面性癫痫患者的头皮脑电图记录来研究癫痫发作期间大脑网络是否表现出“小世界”特征。具体来说,我们使用线性相互关联来表征5名患者在癫痫发作前、发作中和发作后三个感兴趣时期的头皮脑电图记录中节点之间的模式。对于每个周期,我们从线性互相关计算中重建图,并使用不同的网络度量来描述图的特征,如聚类系数、特征路径长度、中间性中心性和网络小世界性。我们的研究结果表明,在五分之三的患者中,在癫痫发作后不久和早期的后期,大脑网络向一个更小的世界结构转变,这与早期与癫痫相关的基于图论的结果一致。然而,一名患者的观察结果正好相反:癫痫发作后小世界性减弱。最后,对于一个患者,我们可以观察到在发病前后网络特性没有差异。这些初步结果表明,在进一步改进后,可能会使用图论方法来量化癫痫发作前和发作期间的大脑动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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