慢性颅内脑电图记录和发作间期棘波率揭示了癫痫发作状态的多尺度时间调节。

Brain Communications Pub Date : 2023-07-19 eCollection Date: 2023-01-01 DOI:10.1093/braincomms/fcad205
Gabrielle M Schroeder, Philippa J Karoly, Matias Maturana, Mariella Panagiotopoulou, Peter N Taylor, Mark J Cook, Yujiang Wang
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引用次数: 0

摘要

许多生物过程是由昼夜节律和多维时间尺度上的节律调节的。在局灶性癫痫中,不同的发作特征,如发作范围和持续时间,可以在同一患者体内从一次发作改变到下一次发作。然而,这种变异性的具体时间尺度,以及随时间变化的具体癫痫发作特征尚不清楚。在此,在一项横断面观察性研究中,我们分析了10名有慢性颅内脑电图记录的患者的患者内癫痫发作变异性(记录时间为185-767天,57-452次分析癫痫发作/患者)。我们将癫痫发作的演变描述为有限数量的患者特异性功能性癫痫发作网络状态的序列。然后,我们将癫痫发作网络状态的发生和持续时间与(1)植入后的时间和(2)发作间期棘波率的患者特异性昼夜节律和多周周期进行了比较。在大多数患者中,至少一种癫痫网络状态的发生或持续时间与植入后的时间有关。一些患者有一个或多个癫痫发作网络状态,这些状态与昼夜节律和/或多阶段尖峰频率周期相关联。给定的癫痫发作网络状态的发生和持续时间通常与相同的时间尺度无关。我们的研究结果表明,不同的时变因素在多个时间尺度上调节患者癫痫发作的演变,单独的过程调节癫痫发作网络状态的发生和持续时间。这些发现意味着,癫痫时间适应性治疗的发展必须考虑到癫痫发作的几个独立特性,类似的原则可能适用于其他神经疾病。
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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Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states.

Many biological processes are modulated by rhythms on circadian and multidien timescales. In focal epilepsy, various seizure features, such as spread and duration, can change from one seizure to the next within the same patient. However, the specific timescales of this variability, as well as the specific seizure characteristics that change over time, are unclear. Here, in a cross-sectional observational study, we analysed within-patient seizure variability in 10 patients with chronic intracranial EEG recordings (185-767 days of recording time, 57-452 analysed seizures/patient). We characterized the seizure evolutions as sequences of a finite number of patient-specific functional seizure network states. We then compared seizure network state occurrence and duration to (1) time since implantation and (2) patient-specific circadian and multidien cycles in interictal spike rate. In most patients, the occurrence or duration of at least one seizure network state was associated with the time since implantation. Some patients had one or more seizure network states that were associated with phases of circadian and/or multidien spike rate cycles. A given seizure network state's occurrence and duration were usually not associated with the same timescale. Our results suggest that different time-varying factors modulate within-patient seizure evolutions over multiple timescales, with separate processes modulating a seizure network state's occurrence and duration. These findings imply that the development of time-adaptive treatments in epilepsy must account for several separate properties of epileptic seizures and similar principles likely apply to other neurological conditions.

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