Co-activation of interictal epileptiform discharges localizes seizure onset zone and fluctuates with brain state.

IF 4.1 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2025-04-03 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcaf127
Samuel B Tomlinson, Benjamin C Kennedy, Eric D Marsh
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引用次数: 0

Abstract

Seizures are increasingly understood as emergent phenomena of complex, pathophysiologic networks. Interictal spikes are ubiquitous markers of paroxysmal synchronization in the epileptic brain and have been shown to co-activate between brain regions with millisecond-scale latencies, suggesting that they can spread through distributed networks of functionally inter-connected neuronal populations. In this study, we examined the relationship between interictal spike co-activation, seizure localization and resting-state EEG activity in children with medically refractory epilepsy. Twenty paediatric patients (mean age: 10.6 years) undergoing invasive EEG investigation with subdural electrodes were examined. Automated techniques were used to extract time-varying interictal spike co-activation networks from full-duration interictal recordings (mean: 108.6 h/patient). Networks were clustered into discrete node communities based on the conditional probability of spike co-activation. Patterns of regional and distributed interictal spike synchrony were investigated over time in relation to variables such as temporal proximity to nearest seizure and background oscillatory coherence. We demonstrate that the irritative neocortex comprises a network of semi-independent, highly cohesive communities with stereotyped local spike propagation patterns. Distributed coupling of spikes between communities was driven by outflow from the seizure onset zone and fluctuated over time in association with inter-regional coherence and temporal proximity to seizures. These results elucidate network dynamics facilitating pathologic hypersynchrony across the epileptic neocortex and further highlight the complex relationship between interictal epileptiform discharges and seizures.

间期癫痫样放电的共激活定位癫痫发作区,并随脑状态波动。
癫痫越来越被理解为复杂的病理生理网络的突现现象。间隔尖峰是癫痫大脑中普遍存在的阵发性同步的标记,并且已被证明在具有毫秒级延迟的大脑区域之间共同激活,这表明它们可以通过功能相互连接的神经元群的分布式网络传播。在这项研究中,我们研究了药物难治性癫痫患儿间期峰共激活、癫痫定位和静息状态脑电图活动之间的关系。20例儿童患者(平均年龄:10.6岁)采用硬膜下电极进行有创脑电图检查。采用自动化技术从全时间间隔记录中提取时变的间隔峰共激活网络(平均:108.6 h/患者)。基于脉冲协同激活的条件概率,将网络聚类成离散的节点群体。随着时间的推移,区域和分布间隔尖峰同步的模式与最近发作的时间接近度和背景振荡相干性等变量有关。我们证明,刺激性的新皮层包括一个半独立的网络,高度凝聚力的社区与刻板的局部尖峰传播模式。社区之间的峰值分布耦合是由癫痫发作区流出驱动的,并且随着时间的推移而波动,这与区域间的一致性和癫痫发作的时间接近性有关。这些结果阐明了促进癫痫新皮层病理性高同步的网络动力学,并进一步强调了癫痫样放电与癫痫发作之间的复杂关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.00
自引率
0.00%
发文量
0
审稿时长
6 weeks
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