用非线性脑电图分析表征癫痫发生过程的时空动态

Christian E. Elger, F. Mormann, T. Kreuz, R. Andrzejak, Christoph Rieke, Robert Sowa, S. Florin, P. David, K. Lehnertz
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引用次数: 9

摘要

在这篇综述中,我们介绍了我们的工作,利用非线性动力学理论衍生的时间序列分析技术来研究癫痫发生过程的时空动力学。除了癫痫病灶的定位在不同的解剖位置在非癫痫发作期间,我们讨论癫痫发作预测的可能性,这是癫痫学中最大的挑战之一。对足够长度的癫痫发作前状态的明确定义将有助于调查导致人类癫痫发作的基本机制,并为制定适当的癫痫发作预防策略提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing the spatio-temporal dynamics of the epileptogenic process with nonlinear EEG analyses
In this overview we present our work investigating the spatio-temporal dynamics of the epileptogenic process using time series analysis techniques derived from the theory of nonlinear dynamics. Apart from a localization of epileptic foci in different anatomical locations during the seizure-free interval we discuss possibilities for seizure prediction, a field that represents one of the greatest challenges in epileptology. The unequivocal definition of a pre-seizure state of a sufficient length would enable investigation of basic mechanisms leading to seizure initiation in humans and provide a basis for the development of adequate seizure prevention strategies.
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