Smith Billy C, Thornton Christopher, Stirling Rachel E, Besné Guillermo M, Gascoigne Sarah J, Evans Nathan, Taylor Peter N, Leiberg Karoline, Karoly Philippa J, Wang Yujiang
Computational Neurology, Neuroscience and Psychiatry Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
School of Computing, Engineering, & Digital Technologies, Teesside University, Middlesbrough, UK.
Epilepsia. 2025 Aug;66(8):2754-2765. doi: 10.1111/epi.18424. Epub 2025 Apr 26.
The circadian rhythm synchronizes physiological and behavioral patterns with the 24-h light-dark cycle. Disruption to the circadian rhythm is linked to various health conditions, although optimal methods to describe these disruptions remain unclear. An emerging approach is to examine the intraindividual variability in measurable properties of the circadian rhythm over extended periods. Epileptic seizures are modulated by circadian rhythms, but the relevance of circadian rhythm disruption in epilepsy remains unexplored. Our study investigates intraindividual circadian variability in epilepsy and its relationship with seizures.
We retrospectively analyzed >70 000 h of wearable smartwatch data (Fitbit) from 143 people with epilepsy (PWE) and 31 healthy controls. Circadian oscillations in heart rate time series were extracted, daily estimates of circadian period, acrophase, and amplitude properties were produced, and estimates of the intraindividual variability of these properties over an entire recording were calculated.
PWE exhibited greater intraindividual variability in period (76 vs. 57 min, d = .66, p < .001) and acrophase (64 vs. 48 min, d = .49, p = .004) compared to controls, but not in amplitude (2 beats per minute, d = -.15, p = .49). Variability in circadian properties showed no correlation with seizure frequency nor any differences between weeks with and without seizures.
For the first time, we show that heart rate circadian rhythms are more variable in PWE, detectable via consumer wearable devices. However, no association with seizure frequency or occurrence was found, suggesting that this variability might be underpinned by the epilepsy etiology rather than being a seizure-driven effect.
昼夜节律使生理和行为模式与24小时明暗周期同步。昼夜节律紊乱与多种健康状况相关,尽管描述这些紊乱的最佳方法仍不明确。一种新出现的方法是在较长时间内检查昼夜节律可测量属性的个体内变异性。癫痫发作受昼夜节律调节,但昼夜节律紊乱在癫痫中的相关性仍未得到探索。我们的研究调查了癫痫患者的个体内昼夜变异性及其与癫痫发作的关系。
我们回顾性分析了143名癫痫患者(PWE)和31名健康对照者超过70000小时的可穿戴智能手表数据(Fitbit)。提取心率时间序列中的昼夜振荡,生成昼夜周期、峰相位和振幅属性的每日估计值,并计算这些属性在整个记录过程中的个体内变异性估计值。
与对照组相比,癫痫患者在周期(76对57分钟,d = 0.66,p < 0.001)和峰相位(64对48分钟,d = 0.49,p = 0.004)方面表现出更大的个体内变异性,但在振幅方面没有差异(每分钟2次心跳,d = -0.15,p = 0.49)。昼夜属性的变异性与癫痫发作频率无关,在有癫痫发作和无癫痫发作的周之间也没有差异。
我们首次表明,癫痫患者的心率昼夜节律变异性更大,可通过消费级可穿戴设备检测到。然而,未发现与癫痫发作频率或发作有相关性,这表明这种变异性可能由癫痫病因引起,而非癫痫发作驱动的效应。