Department of Neuroscience, Monash Medical Centre, Melbourne, Australia; Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia.
Department of Neuroscience, Monash Medical Centre, Melbourne, Australia.
Epilepsy Behav. 2017 Nov;76:71-75. doi: 10.1016/j.yebeh.2017.08.025. Epub 2017 Sep 11.
We hypothesized that (1) the occurrence of psychogenic nonepileptic seizures (PNES) is modulated by the interaction between the 24-hour clock and the sleep-wake cycle and (2) the pattern of modulation in PNES differs from epileptic seizures (ES). We sought to test our hypotheses in a cohort of patients diagnosed with PNES or ES in the setting of an epilepsy monitoring unit (EMU). We retrospectively reviewed consecutive video-EEG (VEEG) recordings of patients who underwent monitoring at the EMU of a tertiary hospital. The seizure type (PNES vs ES), onset time, and the state (sleep vs awake) were tabulated. The relationship between the onset time, the state of arousal, and the occurrence of PNES was determined using logistic regression analysis. To determine if the nature of the relationship between the state of arousal and PNES differed according to the onset time, an interaction between the onset time and the state of arousal was also fitted to the model. We studied a total of 754 seizures (ES, 437; PNES, 317) from 135 patients consisting of 71 (52.6%) females and 64 (47.4%) males with the median age of 39years (range, 18-91). We found a significant association between the state of arousal and PNES with the odds of being PNES four times higher when patients were awake (OR: 4.27, 95% CI: 2.44-7.48; p<0.0001) compared with when they were asleep. The analysis further revealed a significant interaction between the onset time and the state of arousal (p=0.004). The odds of being PNES were significantly higher if the seizure occurred when the patient was awake at night. These patterns possibly indicate the complex interaction between the sleep-wake cycle and the 24-hour time cycle in the generation of PNES.
(1)心因性非癫痫性发作(PNES)的发生受到 24 小时时钟和睡眠-觉醒周期相互作用的调节;(2)PNES 的调节模式与癫痫发作(ES)不同。我们试图在癫痫监测单元(EMU)中诊断为 PNES 或 ES 的患者队列中检验我们的假设。我们回顾性分析了在一家三级医院的 EMU 中进行监测的患者的连续视频脑电图(VEEG)记录。记录了发作类型(PNES 与 ES)、发作起始时间和状态(睡眠或觉醒)。使用逻辑回归分析确定发作起始时间、觉醒状态与 PNES 发生之间的关系。为了确定觉醒状态与 PNES 之间的关系是否因发作起始时间而不同,还将发作起始时间与觉醒状态之间的相互作用拟合到模型中。我们研究了总共 135 名患者的 754 次发作(ES437 次,PNES317 次),其中 71 名(52.6%)为女性,64 名(47.4%)为男性,中位年龄为 39 岁(范围为 18-91 岁)。我们发现觉醒状态与 PNES 之间存在显著关联,与睡眠时相比,患者觉醒时发生 PNES 的可能性高 4 倍(OR:4.27,95%CI:2.44-7.48;p<0.0001)。分析进一步显示,发作起始时间与觉醒状态之间存在显著的相互作用(p=0.004)。如果夜间发作时患者清醒,则发生 PNES 的可能性显著增加。这些模式可能表明 PNES 发作的产生中睡眠-觉醒周期与 24 小时时间周期之间存在复杂的相互作用。