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[颞叶癫痫的发作后期何时开始?基于定量脑电图的视角]

[When does post-ictal period start in temporal lobe epilepsy? A quantitative EEG perspective].

作者信息

Sanz-Garcia A, Vega-Zelaya L, Pastor J, Sola R G, Ortega G J

机构信息

Hospital Universitario de la Princesa, 28006 Madrid, Espana.

出版信息

Rev Neurol. 2017 Apr 16;64(8):337-346.

Abstract

INTRODUCTION

In partial seizures, from a clinical point of view or even from electroencephalography characterization of post-ictal period can be difficult. The spectral and complex network analysis could lead to a more accurate definition of its limits, as well as to a great understanding of the seizures.

PATIENTS AND METHODS

Digital EEG recordings from scalp and foramen oval electrodes were used, 32 seizures, from 15 patients with drug-resistant mesial temporal lobe epilepsy (Engel I). We analyzed numerically: the spectral entropy, the different frequency bands and several variables used to characterize the cortical network, density of links, modularity, cluster coefficient and average path length. Variations of for post-ictal versus pre-ictal periods were quantified.

RESULTS

The cortical network density of links increased during the post-ictal period of complex seizures matching with an spectral entropy decrease, mainly due to an increase in Delta band activity. This variables reached extreme values around one minute after seizure end, defined by classical electroencephalography.

CONCLUSIONS

Our results can be explained by the appearance of an 'ending' mechanism that starts in the ictal period, classically defined, and reach their maximum effect during the post-ictal period. These results could be useful to define the post-ictal period start, as the moment with maximum synchrony, which has a highest density of links and a lowest spectral entropy.

摘要

引言

在部分性癫痫发作中,从临床角度甚至从脑电图对发作后期的特征描述都可能存在困难。频谱分析和复杂网络分析可能会更准确地界定其界限,并加深对癫痫发作的理解。

患者与方法

使用来自头皮和卵圆孔电极的数字脑电图记录,记录了15例耐药性内侧颞叶癫痫(恩格尔I级)患者的32次癫痫发作。我们进行了数值分析:频谱熵、不同频段以及用于表征皮质网络的几个变量,包括连接密度、模块化程度、聚类系数和平均路径长度。对发作后期与发作前期的变化进行了量化。

结果

在复杂癫痫发作的发作后期,皮质网络连接密度增加,同时频谱熵降低,主要是由于δ频段活动增加。这些变量在癫痫发作结束后约一分钟达到极值,这是由经典脑电图定义的。

结论

我们的结果可以通过一种“结束”机制的出现来解释,这种机制始于经典定义的发作期,并在发作后期达到最大效果。这些结果可能有助于确定发作后期的开始,即同步性最高的时刻,此时连接密度最高,频谱熵最低。

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