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高频脑网络在癫痫发作期间会发生模块化崩溃。

High-frequency brain networks undergo modular breakdown during epileptic seizures.

作者信息

Fuertinger Stefan, Simonyan Kristina, Sperling Michael R, Sharan Ashwini D, Hamzei-Sichani Farid

机构信息

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.

Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, U.S.A.

出版信息

Epilepsia. 2016 Jul;57(7):1097-108. doi: 10.1111/epi.13413. Epub 2016 May 25.

Abstract

OBJECTIVE

Cortical high-frequency oscillations (HFOs; 100-500 Hz) play a critical role in the pathogenesis of epilepsy; however, whether they represent a true epileptogenic process remains largely unknown. HFOs have been recorded in the human cortex but their network dynamics during the transitional period from interictal to ictal phase remain largely unknown. We sought to determine the high-frequency network dynamics of these oscillations in patients with epilepsy who were undergoing intracranial electroencephalographic recording for seizure localization.

METHODS

We applied a graph theoretical analysis framework to high-resolution intracranial electroencephalographic recordings of 24 interictal and 24 seizure periods to identify the spatiotemporal evolution of community structure of high-frequency cortical networks at rest and during multiple seizure episodes in patients with intractable epilepsy.

RESULTS

Cortical networks at all examined frequencies showed temporally stable community architecture in all 24 interictal periods. During seizure periods, high-frequency networks showed a significant breakdown of their community structure, which was characterized by the emergence of numerous small nodal communities, not limited to seizure foci and encompassing the entire recorded network. Such network disorganization was observed on average 225 s before the electrographic seizure onset and extended on average 190 s after termination of the seizure. Gamma networks were characterized by stable community dynamics during resting and seizure periods.

SIGNIFICANCE

Our findings suggest that the modular breakdown of high-frequency cortical networks represents a distinct functional pathology that underlies epileptogenesis and corresponds to a cortical state of highest propensity to generate seizures.

摘要

目的

皮层高频振荡(HFOs;100 - 500赫兹)在癫痫发病机制中起关键作用;然而,它们是否代表真正的致痫过程在很大程度上仍不清楚。HFOs已在人类皮层中被记录到,但在从发作间期到发作期的过渡阶段其网络动态在很大程度上仍不为人知。我们试图确定在接受颅内脑电图记录以进行癫痫发作定位的癫痫患者中这些振荡的高频网络动态。

方法

我们将一种图论分析框架应用于24个发作间期和24个发作期的高分辨率颅内脑电图记录,以识别难治性癫痫患者在静息状态和多次癫痫发作期间高频皮层网络群落结构的时空演变。

结果

在所有24个发作间期,所有检测频率的皮层网络均显示出时间上稳定的群落结构。在发作期,高频网络的群落结构出现显著瓦解,其特征是出现大量小的节点群落,不限于癫痫病灶,而是涵盖整个记录网络。这种网络紊乱平均在脑电图发作开始前225秒出现,并在癫痫发作终止后平均持续190秒。伽马网络在静息期和发作期具有稳定的群落动态。

意义

我们的研究结果表明,高频皮层网络的模块性瓦解代表了一种独特的功能病理学,它是癫痫发生的基础,并且对应于产生癫痫发作倾向最高的皮层状态。

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