论文标题
慢性IEEG录音和发作尖峰率显示癫痫状态的多尺度时间调制
Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
论文作者
论文摘要
背景和目标:许多生物学过程都受到昼夜节律和多种时间标准的节奏调节。在局灶性癫痫中,各种癫痫发作特征(例如扩散和持续时间)可以从一个癫痫发作变为同一患者的下一个。但是,尚不清楚这种变异性的特定时间表以及随时间变化的特定癫痫发作特征。 方法:在这里,在一项横断面观察性研究中,我们分析了10例慢性颅内脑电图记录患者(记录时间为185-767天,57-452分析的癫痫发作/患者)的患者内部癫痫发作变异性。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状(SNSS)的序列。然后,我们将SNS的发生和持续时间比较至(1)以来植入以来的时间以及(2)互动峰值的患者特异性昼夜节律和多种循环。 结果:在大多数患者中,至少一个SN的发生或持续时间与植入以来的时间有关。有些患者有一个或多个与昼夜节律和/或多种尖峰率周期相关的SNS。给定的SNS的发生和持续时间通常与同一时间尺度无关。 讨论:我们的结果表明,不同的时间变化因素调节了多个时间尺度上的患者内部癫痫发作的演变,并且单独的过程调节了SNS的发生和持续时间。这些发现表明,癫痫中时间自适应治疗的发展必须说明癫痫发作的几种独立特性,并且类似的原则可能适用于其他神经系统疾病。
Background and Objectives: 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. Methods: 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 characterised the seizure evolutions as sequences of a finite number of patient-specific functional seizure network states (SNSs). We then compared SNS occurrence and duration to (1) time since implantation and (2) patient-specific circadian and multidien cycles in interictal spike rate. Results: In most patients, the occurrence or duration of at least one SNS was associated with the time since implantation. Some patients had one or more SNSs that were associated with phases of circadian and/or multidien spike rate cycles. A given SNS's occurrence and duration were usually not associated with the same timescale. Discussion: Our results suggest that different time-varying factors modulate within-patient seizure evolutions over multiple timescales, with separate processes modulating a SNS'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.