A novel, wearable, in-ear EEG technology to assess sleep and daytime sleepiness.

IF 6.8
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
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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.

一种新颖的、可穿戴的、入耳式脑电图技术,用于评估睡眠和白天困倦。
耳内脑电图(EEG)已成为传统实验室睡眠研究的一种有前途的替代方法,具有更高的舒适性和实用性。在这里,我们提出了一种新的耳内脑电图系统,将耳内记录与作为多导睡眠图(PSG)的一部分同时获得的头皮脑电图通道进行比较。该研究招募了16名健康对照者,采用单次访问夜间加白天设计,8名中心性嗜睡障碍(CDH)患者采用随机交叉日间设计(药物治疗vs药物治疗-假期)。对于夜间睡眠记录,耳部脑电图和头皮脑电图的睡眠分期显示出实质性的一致(Cohen的公式:见文本)。对于白天的MWT试验,一致性是中等的(Cohen的[公式:见文本]),反映了该范式中尾流时期的优势。对于睡眠发作潜伏期(SOL)的主要清醒维持测试(MWT)终点,在每个受试者水平([公式:见文本])-在标准临床实践中进行的试验平均-一致性很好(ICC = 0.71,[公式:见文本],MAD = 5.1分钟)。在126个试验中,37个试验中,两种设备都检测到睡眠(约30%的试验),一致性很强(ICC = 0.82, MAD = 1.9分钟),在健康对照中一致性极佳(ICC = 0.95, MAD = 1.2分钟)。所有126项试验的总体试验水平一致性为中等(ICC = 0.55),反映了22项不一致的试验,其中头皮脑电图检测到睡眠,而耳内脑电图不主要是短暂、微妙的N1转换,集中在CDH参与者的子集中。对于夜间睡眠结构([公式:见文]健康对照组),总睡眠时间([公式:见文],ICC = 0.85)、睡眠效率([公式:见文])和睡眠开始后醒来([公式:见文])表现出强烈的一致性,具有较小的系统偏差,与N1检测灵敏度降低相一致。这些发现支持了耳内脑电图在实验室环境中用于睡眠分期和日间嗜睡评估的可行性,并激发了更大规模的验证性研究——包括基于家庭的纵向监测——以建立临床效用,特别是在睡眠结构改变的人群中。
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
CiteScore
6.90
自引率
0.00%
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0
审稿时长
8 weeks
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