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癫痫模型:与癫痫发作、难治性癫痫持续状态和去极化阻断动力学相关的系统数学分析。

The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block.

机构信息

Aix Marseille University, INSERM, INS, Institut de Neurosciences des Systèmes, 13005 Marseille, France.

Aix Marseille University, INSERM, INS, Institut de Neurosciences des Systèmes, 13005 Marseille, France

出版信息

eNeuro. 2020 Mar 24;7(2). doi: 10.1523/ENEURO.0485-18.2019. Print 2020 Mar/Apr.

Abstract

One characteristic of epilepsy is the variety of mechanisms leading to the epileptic state, which are still largely unknown. Refractory status epilepticus (RSE) and depolarization block (DB) are other pathological brain activities linked to epilepsy, whose patterns are different and whose mechanisms remain poorly understood. In epileptogenic network modeling, the Epileptor is a generic phenomenological model that has been recently developed to describe the dynamics of seizures. Here, we performed a detailed qualitative analysis of the Epileptor model based on dynamical systems theory and bifurcation analysis, and investigate the dynamic evolution of "normal" activity toward seizures and to the pathological RSE and DB states. The mechanisms of the transition between states are called bifurcations. Our detailed analysis demonstrates that the generic model undergoes different bifurcation types at seizure offset, when varying some selected parameters. We show that the pathological and normal activities can coexist within the same model under some conditions, and demonstrate that there are many pathways leading to and away from these activities. We here archive systematically all behaviors and dynamic regimes of the Epileptor model to serve as a resource in the development of patient-specific brain network models, and more generally in epilepsy research.

摘要

癫痫的一个特征是导致癫痫状态的机制多种多样,而这些机制在很大程度上仍不为人知。难治性癫痫持续状态(RSE)和去极化阻断(DB)是与癫痫相关的另两种病理性脑活动,它们的模式不同,其机制仍知之甚少。在致痫网络建模中,Epileptor 是一种最近开发的通用现象学模型,用于描述癫痫发作的动力学。在这里,我们基于动力系统理论和分岔分析对 Epileptor 模型进行了详细的定性分析,并研究了“正常”活动向癫痫发作以及病理性 RSE 和 DB 状态的动态演变。状态之间的转换机制称为分岔。我们的详细分析表明,当改变一些选定的参数时,通用模型在癫痫发作结束时会经历不同的分岔类型。我们表明,在某些条件下,病理性和正常活动可以在同一个模型中共存,并证明存在许多通向和远离这些活动的途径。我们在这里系统地归档了 Epileptor 模型的所有行为和动态状态,作为开发患者特定脑网络模型的资源,更广泛地说,作为癫痫研究的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ee8/7096539/016bd1a24646/SN-ENUJ200018F001.jpg

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