{"title":"Bidirectional Predictors Between Neurobehavioural Measures During Total Sleep Deprivation and Baseline and Recovery Sleep Measures.","authors":"Lauren N Pasetes, Namni Goel","doi":"10.1111/jsr.70031","DOIUrl":null,"url":null,"abstract":"<p><p>For the first time, we examined bidirectional predictors between baseline night (B2) and recovery night 1 (R1) actigraphic sleep measures and neurobehavioural indices during total sleep deprivation (TSD) in a 5-day experiment with 32 healthy adults. During the B2 and R1 nights, wrist actigraphy assessed sleep indices. Neurobehavioural measures were collected during B2 daytime and TSD. Simple linear regression assessed bidirectional predictors between B2 and R1 night sleep measures and TSD neurobehavioural measures. We found greater B2 sleep efficiency predicted lower TSD Karolinska Sleepiness Scale (KSS) scores, and later B2 sleep onset and sleep midpoint predicted lower TSD Profile of Mood States Fatigue (POMS-F) scores. Overall, B2 sleep measures predicted 14.2%-17.2% of the variance in subjective sleepiness and fatigue measures during TSD. Better TSD Digit Symbol Substitution Test performance predicted shorter R1 sleep duration, longer sleep onset latency, and later sleep onset; and better TSD Digit Span Test performance predicted later sleep onset. Furthermore, greater TSD 10-min. Psychomotor Vigilance Test (PVT) lapses predicted longer R1 sleep duration, lower sleep efficiency, greater wake after sleep onset, lower percent sleep, and later sleep offset. Overall, cognitive performance measures during TSD predicted 13.6%-29.9% of the variance in R1 sleep measures. Notably, females showed more significant predictive bidirectional relationships. Our novel findings demonstrate that baseline sleep measures predict subjective sleepiness and fatigue resilience during TSD, whereas cognitive performance resilience during TSD predicts subsequent recovery sleep measures. In summary, our results underscore predictors, mechanisms, and biomarkers between sleep health and individual differences in neurobehavioural performance during TSD.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70031"},"PeriodicalIF":3.4000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sleep Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jsr.70031","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
For the first time, we examined bidirectional predictors between baseline night (B2) and recovery night 1 (R1) actigraphic sleep measures and neurobehavioural indices during total sleep deprivation (TSD) in a 5-day experiment with 32 healthy adults. During the B2 and R1 nights, wrist actigraphy assessed sleep indices. Neurobehavioural measures were collected during B2 daytime and TSD. Simple linear regression assessed bidirectional predictors between B2 and R1 night sleep measures and TSD neurobehavioural measures. We found greater B2 sleep efficiency predicted lower TSD Karolinska Sleepiness Scale (KSS) scores, and later B2 sleep onset and sleep midpoint predicted lower TSD Profile of Mood States Fatigue (POMS-F) scores. Overall, B2 sleep measures predicted 14.2%-17.2% of the variance in subjective sleepiness and fatigue measures during TSD. Better TSD Digit Symbol Substitution Test performance predicted shorter R1 sleep duration, longer sleep onset latency, and later sleep onset; and better TSD Digit Span Test performance predicted later sleep onset. Furthermore, greater TSD 10-min. Psychomotor Vigilance Test (PVT) lapses predicted longer R1 sleep duration, lower sleep efficiency, greater wake after sleep onset, lower percent sleep, and later sleep offset. Overall, cognitive performance measures during TSD predicted 13.6%-29.9% of the variance in R1 sleep measures. Notably, females showed more significant predictive bidirectional relationships. Our novel findings demonstrate that baseline sleep measures predict subjective sleepiness and fatigue resilience during TSD, whereas cognitive performance resilience during TSD predicts subsequent recovery sleep measures. In summary, our results underscore predictors, mechanisms, and biomarkers between sleep health and individual differences in neurobehavioural performance during TSD.
期刊介绍:
The Journal of Sleep Research is dedicated to basic and clinical sleep research. The Journal publishes original research papers and invited reviews in all areas of sleep research (including biological rhythms). The Journal aims to promote the exchange of ideas between basic and clinical sleep researchers coming from a wide range of backgrounds and disciplines. The Journal will achieve this by publishing papers which use multidisciplinary and novel approaches to answer important questions about sleep, as well as its disorders and the treatment thereof.