Jonathan Berent, Prabhjyot Saini, Andrew X Stewart, Devansh Bheda, Konstantin Borodin, Akshay Paul, Brian Tracey, Caroline Dong, Dmitri Volfson, Derek L Buhl, David B Rye
{"title":"A novel, wearable, in-ear EEG technology to assess sleep and daytime sleepiness.","authors":"Jonathan Berent, Prabhjyot Saini, Andrew X Stewart, Devansh Bheda, Konstantin Borodin, Akshay Paul, Brian Tracey, Caroline Dong, Dmitri Volfson, Derek L Buhl, David B Rye","doi":"10.1186/s42234-026-00207-x","DOIUrl":null,"url":null,"abstract":"<p><p>In-ear electroencephalography (EEG) has emerged as a promising alternative to traditional in-laboratory sleep studies, offering greater comfort and practicality. Here we present a novel in-ear EEG system, comparing in-ear recordings against scalp EEG channels acquired concurrently as part of polysomnography (PSG). The study enrolled 16 healthy control participants in a single-visit overnight-plus-daytime design, and 8 participants with central disorders of hypersomnolence (CDH) in a randomized crossover daytime design (medication vs. medication-holiday). For overnight sleep recordings, ear-EEG and scalp EEG sleep staging showed substantial agreement (Cohen's [Formula: see text]). For daytime MWT trials, agreement was moderate (Cohen's [Formula: see text]), reflecting the predominance of wake epochs in this paradigm. For the primary Maintenance of Wakefulness Test (MWT) endpoint of sleep onset latency (SOL), at the per-subject level ([Formula: see text])-averaging across trials as in standard clinical practice-agreement was good (ICC = 0.71, [Formula: see text], MAD = 5.1 min). Among the 37 of 126 trials where both devices detected sleep (approximately 30% of trials), agreement was strong (ICC = 0.82, MAD = 1.9 min), with excellent agreement in healthy controls (ICC = 0.95, MAD = 1.2 min). Overall trial-level agreement across all 126 trials was moderate (ICC = 0.55), reflecting 22 discordant trials in which scalp EEG detected sleep but in-ear EEG did not-predominantly brief, subtle N1 transitions, concentrated in a subset of CDH participants. For overnight sleep architecture ([Formula: see text] healthy controls), total sleep time ([Formula: see text], ICC = 0.85), sleep efficiency ([Formula: see text]), and wake after sleep onset ([Formula: see text]) showed strong agreement, with small systematic biases consistent with reduced N1 detection sensitivity. These findings support the feasibility of in-ear EEG for sleep staging and daytime sleepiness assessment in laboratory settings, and motivate larger confirmatory studies-including home-based longitudinal monitoring-to establish clinical utility, particularly in populations with altered sleep architecture.</p>","PeriodicalId":72363,"journal":{"name":"Bioelectronic medicine","volume":"12 1","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13195905/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioelectronic medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s42234-026-00207-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In-ear electroencephalography (EEG) has emerged as a promising alternative to traditional in-laboratory sleep studies, offering greater comfort and practicality. Here we present a novel in-ear EEG system, comparing in-ear recordings against scalp EEG channels acquired concurrently as part of polysomnography (PSG). The study enrolled 16 healthy control participants in a single-visit overnight-plus-daytime design, and 8 participants with central disorders of hypersomnolence (CDH) in a randomized crossover daytime design (medication vs. medication-holiday). For overnight sleep recordings, ear-EEG and scalp EEG sleep staging showed substantial agreement (Cohen's [Formula: see text]). For daytime MWT trials, agreement was moderate (Cohen's [Formula: see text]), reflecting the predominance of wake epochs in this paradigm. For the primary Maintenance of Wakefulness Test (MWT) endpoint of sleep onset latency (SOL), at the per-subject level ([Formula: see text])-averaging across trials as in standard clinical practice-agreement was good (ICC = 0.71, [Formula: see text], MAD = 5.1 min). Among the 37 of 126 trials where both devices detected sleep (approximately 30% of trials), agreement was strong (ICC = 0.82, MAD = 1.9 min), with excellent agreement in healthy controls (ICC = 0.95, MAD = 1.2 min). Overall trial-level agreement across all 126 trials was moderate (ICC = 0.55), reflecting 22 discordant trials in which scalp EEG detected sleep but in-ear EEG did not-predominantly brief, subtle N1 transitions, concentrated in a subset of CDH participants. For overnight sleep architecture ([Formula: see text] healthy controls), total sleep time ([Formula: see text], ICC = 0.85), sleep efficiency ([Formula: see text]), and wake after sleep onset ([Formula: see text]) showed strong agreement, with small systematic biases consistent with reduced N1 detection sensitivity. These findings support the feasibility of in-ear EEG for sleep staging and daytime sleepiness assessment in laboratory settings, and motivate larger confirmatory studies-including home-based longitudinal monitoring-to establish clinical utility, particularly in populations with altered sleep architecture.