Interhemispheric asynchrony of NREM EEG at the beginning and end of sleep describes evening vigilance performance in patients undergoing diagnostic polysomnography.

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-11-06 DOI:10.1088/1361-6579/ad8f8f
Karen McCloy, Brett Duce, Nadeeka Dissanayaka, Craig Hukins, Udantha Abeyratne
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Abstract

Objective: Obstructive Sleep Apnea (OSA) is associated with deficits in vigilance. This work explored the temporal patterns of OSA-related events during sleep and vigilance levels measured by the Psychomotor Vigilance Test (PVT) in patients undergoing Polysomnography (PSG) for suspected OSA. Approach: The PVT was conducted prior to in-laboratory PSG for 80 patients suspected of having OSA. Three groups were formed based on PVT-RT-outcomes and participants were randomly allocated into Training (n=55) and Test (n=25) samples. Sleep epochs of non-rapid-eye movement (NREM) Electroencephalographic (EEG) asynchrony data, and REM and NREM data for respiratory, arousal, limb movement and desaturation events were analysed. The data were segmented by sleep stage, by Sleep Blocks (SB) of stable Stage N2, Stage N3, mixed-stage NREM sleep, and, by Time of Night (TN) across sleep. Models associating this data with PVT groups were developed and tested. Main Results: A model using NREM EEG asynchrony data segmented by SB and TN achieved 81.9% accuracy in the Test Cohort. Models based on interhemispheric asynchrony SB data and OSA data segmented by TN achieved 80.6% and 79.5% respectively. Significance: Novel data segmentation methods via blocks of NREM sleep and TN have improved our understanding of the relationship between sleep, OSA and vigilance. .

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睡眠开始和结束时 NREM 脑电图的半球间不同步描述了接受多导睡眠图诊断的患者的晚间警觉表现。
目的:阻塞性睡眠呼吸暂停(OSA阻塞性睡眠呼吸暂停(OSA)与警觉性缺陷有关。这项研究探讨了因疑似 OSA 而接受多导睡眠图(PSG)检查的患者在睡眠期间发生的 OSA 相关事件的时间模式以及通过精神运动警觉性测试(PVT)测量的警觉性水平:在对80名疑似OSA患者进行实验室PSG检查之前,对他们进行PVT测试。根据 PVT-RT 结果分成三组,参与者被随机分配到训练组(55 人)和测试组(25 人)。分析了非快速眼动(NREM)脑电图(EEG)不同步数据的睡眠时程,以及呼吸、唤醒、肢体运动和失饱和事件的快速眼动和 NREM 数据。这些数据按睡眠阶段、稳定的 N2 阶段、N3 阶段、混合阶段 NREM 睡眠的睡眠块 (SB) 以及跨睡眠的夜间时间 (TN) 进行细分。建立并测试了将这些数据与 PVT 组别相关联的模型:使用按 SB 和 TN 划分的 NREM 脑电图不同步数据建立的模型在测试队列中达到了 81.9% 的准确率。基于半球间异步 SB 数据和 TN 分割的 OSA 数据的模型分别达到了 80.6% 和 79.5%:通过 NREM 睡眠块和 TN 的新型数据分割方法提高了我们对睡眠、OSA 和警觉性之间关系的认识。
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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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