More variable circadian rhythms in epilepsy captured by long-term heart rate recordings from wearable sensors.

IF 6.6 1区 医学 Q1 CLINICAL NEUROLOGY
Epilepsia Pub Date : 2025-04-26 DOI:10.1111/epi.18424
Billy C Smith, Christopher Thornton, Rachel E Stirling, Guillermo M Besné, Sarah J Gascoigne, Nathan Evans, Peter N Taylor, Karoline Leiberg, Philippa J Karoly, Yujiang Wang
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Abstract

Objective: 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.

Methods: 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.

Results: 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.

Significance: 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.

通过可穿戴传感器的长期心率记录,癫痫患者的昼夜节律变化更大。
目的:昼夜节律使生理和行为模式与24小时明暗周期同步。昼夜节律的中断与各种健康状况有关,尽管描述这些中断的最佳方法尚不清楚。一种新兴的方法是在长时间内检查昼夜节律的可测量特性的个体变异。癫痫发作是由昼夜节律调节的,但昼夜节律中断在癫痫中的相关性仍未被探索。我们的研究调查了癫痫的个体昼夜节律变异性及其与癫痫发作的关系。方法:回顾性分析143例癫痫患者(PWE)和31名健康对照者的70万小时可穿戴智能手表(Fitbit)数据。提取心率时间序列中的昼夜节律振荡,产生昼夜节律周期、顶相和振幅特性的每日估计,并计算整个记录中这些特性的个体内部变异性的估计。结果:PWE在时间段内表现出更大的个体差异(76 vs. 57 min, d =。66、p意义:我们首次表明,PWE患者的心率昼夜节律变化更大,可通过消费者可穿戴设备检测到。然而,没有发现与癫痫发作频率或发生的关联,这表明这种变异性可能是由癫痫病因支持的,而不是癫痫驱动的影响。
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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来源期刊
Epilepsia
Epilepsia 医学-临床神经学
CiteScore
10.90
自引率
10.70%
发文量
319
审稿时长
2-4 weeks
期刊介绍: Epilepsia is the leading, authoritative source for innovative clinical and basic science research for all aspects of epilepsy and seizures. In addition, Epilepsia publishes critical reviews, opinion pieces, and guidelines that foster understanding and aim to improve the diagnosis and treatment of people with seizures and epilepsy.
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