Interhemispheric asynchrony of NREM EEG at the beginning and end of sleep describes evening vigilance performance in patients undergoing diagnostic polysomnography.
{"title":"Interhemispheric asynchrony of NREM EEG at the beginning and end of sleep describes evening vigilance performance in patients undergoing diagnostic polysomnography.","authors":"Karen McCloy, Brett Duce, Nadeeka Dissanayaka, Craig Hukins, Udantha Abeyratne","doi":"10.1088/1361-6579/ad8f8f","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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. 
.</p>","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological measurement","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1361-6579/ad8f8f","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
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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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.