AUTHOR=Gagliano Laura , Ding Tian Yue , Toffa Denahin H. , Beauregard Laurence , Robert Manon , Lesage Frédéric , Sawan Mohamad , Nguyen Dang K. , Bou Assi Elie
TITLE=Decrease in wearable-based nocturnal sleep efficiency precedes epileptic seizures
JOURNAL=Frontiers in Neurology
VOLUME=13
YEAR=2023
URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.1089094
DOI=10.3389/fneur.2022.1089094
ISSN=1664-2295
ABSTRACT=IntroductionWhile it is known that poor sleep is a seizure precipitant, this association remains poorly quantified. This study investigated whether seizures are preceded by significant changes in sleep efficiency as measured by a wearable equipped with an electrocardiogram, respiratory bands, and an accelerometer.
MethodsNocturnal recordings from 47 people with epilepsy hospitalized at our epilepsy monitoring unit were analyzed (304 nights). Sleep metrics during nights followed by epileptic seizures (24 h post-awakening) were compared to those of nights which were not.
ResultsLower sleep efficiency (percentage of sleep during the night) was found in the nights preceding seizure days (p < 0.05). Each standard deviation decrease in sleep efficiency and increase in wake after sleep onset was respectively associated with a 1.25-fold (95 % CI: 1.05 to 1.42, p < 0.05) and 1.49-fold (95 % CI: 1.17 to 1.92, p < 0.01) increased odds of seizure occurrence the following day. Furthermore, nocturnal seizures were associated with significantly lower sleep efficiency and higher wake after sleep onset (p < 0.05), as well as increased odds of seizure occurrence following wake (OR: 5.86, 95 % CI: 2.99 to 11.77, p < 0.001).
DiscussionFindings indicate lower sleep efficiency during nights preceding seizures, suggesting that wearable sensors could be promising tools for sleep-based seizure-day forecasting in people with epilepsy.