破伤风毒素大鼠模型中癫痫发作持续时间周期及其潜在动力学。

IF 4.5 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2025-09-18 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcaf364
Parvin Zarei Eskikand, Sepehr Kazemi, Mark J Cook, Anthony N Burkitt, David B Grayden
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引用次数: 0

摘要

癫痫发作持续时间是癫痫的一个特征,其与节律周期的关系尚未得到充分研究,它为癫痫发作的严重程度和时间动态提供了重要的见解。本研究研究了破伤风毒素大鼠癫痫模型中癫痫发作持续时间的节律模式,该模型是一个成熟的平台,可以长期、稳定地记录和观察癫痫发作的发生和缓解。我们的分析显示癫痫发作持续时间有明显的周期性模式,大鼠发作周期从4天到8天不等。同步指数和圆线性相关性揭示了癫痫发作持续时间和周期之间的锁相关系,表明非随机、可预测的时间动态。进一步的分析检验了癫痫发作持续时间、癫痫发作间隔和优势脑电图功率之间的关系。发作间隔和发作持续时间之间的关系不大,表明几乎没有时间依赖性。相反,癫痫发作持续时间与主要频带的脑电功率有较强的相关性。研究结果强调,癫痫发作的持续时间表现出可预测的节律,这可以改变癫痫发作的预测,并使基于时间的干预策略成为可能,最终改善癫痫的管理和患者的预后。这些见解为个性化、节奏感知治疗方法奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cycles in seizure duration and their underlying dynamics in the tetanus toxin rat model.

Seizure duration, a characteristic of epilepsy that is understudied in relation to its relationship with rhythmic cycles, provides critical insights into the severity and temporal dynamics of seizures. This study investigates the rhythmic patterns of seizure duration in the tetanus toxin rat model of epilepsy, which is a well-established platform enabling long-term, stable recordings and observation of seizure emergence and remission. Our analysis shows significant cyclical patterns in seizure durations, with periods ranging from 4 to 8 days across rats. The synchronization index and circular-linear correlations revealed phase-locked relationships between seizure durations and cycles, suggesting non-random, predictable temporal dynamics. Further analyses examined the relationship between seizure durations, inter-seizure intervals and dominant EEG power. The relationship between inter-seizure intervals and seizure duration was modest, suggesting little to no temporal dependency. In contrast, seizure duration showed stronger associations with EEG power in dominant frequency bands. The findings highlight that seizure durations exhibit predictable rhythms, which could transform seizure prediction and enable time-based intervention strategies, ultimately improving epilepsy management and patient outcomes. These insights lay the groundwork for personalized, rhythm-aware therapeutic approaches.

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CiteScore
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