High-frequency brain networks undergo modular breakdown during epileptic seizures
High-frequency brain networks undergo modular breakdown during epileptic seizures
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DOI：
10.1111/epi.13413
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发表时间：
2016-07-01
期刊：
影响因子：
5.6
通讯作者：
Hamzei-Sichani, Farid
中科院分区：
文献类型：
--
作者：
Fuertinger, Stefan;Simonyan, Kristina;Hamzei-Sichani, Farid
目的：皮层高频振荡（HFOs; 100-500 Hz）在癫痫发病机制中起重要作用；然而，它们是否代表一种真正的致痫过程在很大程度上仍然未知。人类皮层中有hfo的记录，但在从间歇期到间歇期的过渡时期，它们的网络动态在很大程度上仍然未知。我们试图确定这些振荡的高频网络动力学的癫痫患者谁接受颅内脑电图记录癫痫发作定位。方法应用图论分析框架对24个癫痫发作间歇期和24个癫痫发作期的高分辨率颅内脑电图记录进行分析，探讨难治性癫痫患者静息期和多次发作期高频皮质网络的社群结构的时空演变。结果各频率的热带网络在24个间隔期均表现出稳定的群落结构。在癫痫发作期间，高频网络显示出其社区结构的显著破坏，其特征是出现了许多小节点社区，不仅限于癫痫发作灶，而且涵盖了整个记录的网络。这种网络紊乱在癫痫发作前平均225秒被观察到，在癫痫发作结束后平均190秒被延长。在静息期和癫痫发作期，伽玛网络具有稳定的群落动态特征。意义：我们的研究结果表明，高频皮层网络的模块化分解代表了一种独特的功能病理学，它是癫痫发生的基础，并对应于一种最高倾向于产生癫痫发作的皮层状态。
ObjectiveCortical 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.MethodsWe 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.ResultsCortical 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.SignificanceOur 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.