ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2021
Measuring the effects of sleep on epileptogenicity with multifrequency entropy.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 7 citations in OpenAlex.
- A dynamical systems framework for precision psychiatry.NPJ digital medicine · 2025Review
- Competitive roles of slow/delta oscillation-nesting-mediated sleep disruption under acute methamphetamine exposure in monkeys.Journal of Zhejiang University. Science. B · 2025Article
- Machine-learning for the prediction of one-year seizure recurrence based on routine electroencephalography.Scientific reports · 2023Article
- A biomarker discovery framework for childhood anxiety.Frontiers in psychiatry · 2023Article
- Coarse-graining and the Haar wavelet transform for multiscale analysis.Bioelectronic medicine · 2022Article
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7 authors at 1 institution in 1 country.
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Abstract
objectiveWe demonstrate that multifrequency entropy gives insight into the relationship between epileptogenicity and sleep, and forms the basis for an improved measure of medical assessment of sleep impairment in epilepsy patients.
methodsMultifrequency entropy was computed from electroencephalography measurements taken from 31 children with Benign Epilepsy with Centrotemporal Spikes and 31 non-epileptic controls while awake and during sleep. Values were compared in the epileptic zone and away from the epileptic zone in various sleep stages.
resultsWe find that (I) in lower frequencies, multifrequency entropy decreases during non-rapid eye movement sleep stages when compared with wakefulness in a general population of pediatric patients, (II) patients with Benign Epilepsy with Centrotemporal Spikes had lower multifrequency entropy across stages of sleep and wakefulness, and (III) the epileptic regions of the brain exhibit lower multifrequency entropy patterns than the rest of the brain in epilepsy patients.
conclusionsOur results show that multifrequency entropy decreases during sleep, particularly sleep stage 2, confirming, in a pediatric population, an association between sleep, lower multifrequency entropy, and increased likelihood of seizure. SIGNIFICANCE: We observed a correlation between lowered multifrequency entropy and increased epileptogenicity that lays preliminary groundwork for the detection of a digital biomarker for epileptogenicity.
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