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癫痫患者海马体的细胞到网络计算模型表明网络和通道功能障碍在发作和发作间期振荡中具有特定作用。

Cell to network computational model of the epileptic human hippocampus suggests specific roles of network and channel dysfunctions in the ictal and interictal oscillations.

机构信息

Laboratoire Lorrain de Recherche en Informatique et ses applications (LORIA UMR 7503), University of Lorraine, 54506, Nancy, France.

Centre de Recherche en Automatique de Nancy, University of Lorraine, CRAN-CNRS UMR 7039, Nancy, France.

出版信息

J Comput Neurosci. 2022 Nov;50(4):519-535. doi: 10.1007/s10827-022-00829-5. Epub 2022 Aug 16.

DOI:10.1007/s10827-022-00829-5
PMID:35971033
Abstract

The mechanisms underlying the generation of hippocampal epileptic seizures and interictal events and their interactions with the sleep-wake cycle are not yet fully understood. Indeed, medial temporal lobe epilepsy is associated with hippocampal abnormalities both at the neuronal (channelopathies, impaired potassium and chloride dynamics) and network level (neuronal and axonal loss, mossy fiber sprouting), with more frequent seizures during wakefulness compared with slow-wave sleep. In this article, starting from our previous computational modeling work of the hippocampal formation based on realistic topology and synaptic connectivity, we study the role of micro- and mesoscale pathological conditions of the epileptic hippocampus in the generation and maintenance of seizure-like theta and interictal oscillations. We show, through the simulations of hippocampal activity during slow-wave sleep and wakefulness that: (i) both mossy fiber sprouting and sclerosis account for seizure-like theta activity, (ii) but they have antagonist effects (seizure-like activity occurrence increases with sprouting but decreases with sclerosis), (iii) though impaired potassium and chloride dynamics have little influence on the generation of seizure-like activity, they do play a role on the generation of interictal patterns, and (iv) seizure-like activity and fast ripples are more likely to occur during wakefulness and interictal spikes during sleep.

摘要

海马癫痫发作和发作间期事件的产生机制及其与睡眠-觉醒周期的相互作用尚不完全清楚。事实上,内侧颞叶癫痫与海马的神经元异常(通道病、钾和氯动力学受损)和网络水平异常(神经元和轴突丢失、苔藓纤维发芽)有关,与慢波睡眠相比,清醒时癫痫发作更频繁。在本文中,我们从基于真实拓扑和突触连接的海马结构的先前计算模型工作开始,研究了癫痫海马的微尺度和中尺度病理条件在发作样θ波和发作间期振荡的产生和维持中的作用。我们通过模拟慢波睡眠和觉醒期间的海马活动表明:(i)苔藓纤维发芽和硬化都可引起发作样θ波活动,(ii)但它们具有拮抗作用(发作样活动的发生随着发芽而增加,但随着硬化而减少),(iii)尽管钾和氯动力学受损对发作样活动的产生影响不大,但它们确实对发作间期模式的产生起作用,(iv)发作样活动和快速涟漪更可能发生在觉醒期间,而发作间期棘波发生在睡眠期间。

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Ictal and preictal power changes outside of the seizure focus correlate with seizure generalization.
用于研究神经刺激期间θ-γ振荡的海马电路中θ生成的动力计算模型。
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