Fan Joline M, Chiang Sharon, Rao Vikram R
Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Epilepsia Open. 2021 Jan 7;6(1):140-148. doi: 10.1002/epi4.12457. eCollection 2021 Mar.
A major source of disability for people with epilepsy involves uncertainty surrounding seizure timing and severity. Although patients often report that long seizure-free intervals are followed by more severe seizures, there is little experimental evidence supporting this observation. Optimal characterization of seizure severity is debated; however, seizure duration is associated with seizure type and can be quantified in electrographic recordings as a limited proxy of clinical seizure severity. Here, using chronic intracranial electroencephalography (cEEG), we investigate the relationship between interseizure interval (ISI) and duration of the subsequent seizure.
We performed a retrospective analysis of 14 subjects implanted with a responsive neurostimulation device (RNS System) that provides cEEG, including timestamps of electrographic seizures. We determined seizure durations for isolated seizures and for representative seizures from clusters determined through unsupervised methods. For each subject, the median ISI preceding long-duration seizures, defined as the top quintile of seizure durations, was compared with the median ISI preceding seizures with durations in the residual quintiles. In a group analysis, the mean seizure duration and the proportion of long-duration seizures were compared across ISI categories representing different lengths.
For 5 out of 14 subjects (36%), the median ISI preceding long-duration seizures was significantly greater than the median ISI preceding shorter-duration seizures. In the group analysis, when ISI was categorized by length, the proportion of long-duration seizures within the high ISI category was significantly higher than that of the low ISI category ( < 0.001).
By leveraging cEEG and accounting for seizure clusters, we found that the likelihood of long-duration seizures positively correlates with ISI length, in a subset of individuals. These findings corroborate anecdotal clinical observations and support the existence of capacitor-like long memory processes governing the dynamics of focal seizures.
癫痫患者的主要残疾来源涉及到对发作时间和严重程度的不确定性。尽管患者经常报告说,长时间无发作后会出现更严重的发作,但几乎没有实验证据支持这一观察结果。对发作严重程度的最佳描述仍存在争议;然而,发作持续时间与发作类型相关,并且可以在脑电图记录中作为临床发作严重程度的有限替代物进行量化。在这里,我们使用慢性颅内脑电图(cEEG)研究发作间隔(ISI)与随后发作持续时间之间的关系。
我们对 14 名植入具有反应性神经刺激装置(RNS 系统)的患者进行了回顾性分析,该装置提供 cEEG,包括脑电图发作的时间戳。我们确定了孤立发作和通过无监督方法确定的簇中代表发作的发作持续时间。对于每个患者,将长持续时间发作(定义为发作持续时间的前五分之一)之前的中位数 ISI 与持续时间处于剩余五分位数的发作之前的中位数 ISI 进行比较。在组分析中,比较代表不同长度的 ISI 类别中的平均发作持续时间和长持续时间发作的比例。
在 14 名患者中的 5 名(36%)中,长持续时间发作之前的中位数 ISI 明显大于短持续时间发作之前的中位数 ISI。在组分析中,当 ISI 按长度分类时,高 ISI 类别的长持续时间发作比例明显高于低 ISI 类别的长持续时间发作比例(<0.001)。
通过利用 cEEG 并考虑到发作簇,我们发现长持续时间发作的可能性与 ISI 长度呈正相关,在一部分个体中。这些发现与轶事临床观察结果相符,并支持存在电容器样的长记忆过程来控制局灶性发作的动力学。