ArticleSleep2020
Robust stability of trait-like vulnerability or resilience to common types of sleep deprivation in a large sample of adults.
Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Functional brain network stability reflects individual resilience during sleep deprivation.Sleep · 2026Article
- Women in space: A review of known physiological adaptations and health perspectives.Experimental physiology · 2026Review
- Reduced but Reversible Brain Entropy After Occupational Partial Sleep Deprivation in Night-Shift Medical Staff.Brain and behavior · 2026Article
- Bidirectional Predictors Between Neurobehavioural Measures During Total Sleep Deprivation and Baseline and Recovery Sleep Measures.Journal of sleep research · 2025Article
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- Poorer objective but not subjective driving performance in drivers vulnerable to sleep loss effects during extended wake.Journal of sleep research · 2025Article
- Bidirectional predictors between baseline and recovery sleep measures and cardiovascular measures during sleep deprivation and psychological stress.Physiological reports · 2025Article
- Short-term and long-term phenotypic stability of actigraphic sleep metrics involving repeated sleep loss and recovery.Journal of sleep research · 2024Article
- Effects of total sleep deprivation on performance in a manual spacecraft docking task.NPJ microgravity · 2024Article
- Bright Light Therapy for Major Depressive Disorder in Adolescent Outpatients: A Preliminary Study.Clocks & sleep · 2024Article
- Resting-State EEG Microstates Dynamics Associated with Interindividual Vulnerability to Sleep Deprivation.Nature and science of sleep · 2024Article
- PERCLOS-based technologies for detecting drowsiness: current evidence and future directions.Sleep advances : a journal of the Sleep Research Society · 2023Review
- Comparison of effects of modafinil and caffeine on fatigue-vulnerable and fatigue-resistant aircrew after a limited period of sleep deprivation.Frontiers in physiology · 2023Article
- Cardiovascular measures display robust phenotypic stability across long-duration intervals involving repeated sleep deprivation and recovery.Frontiers in neuroscience · 2023Article
- The role of the fronto-parietal network in modulating sustained attention under sleep deprivation: an functional magnetic resonance imaging study.Frontiers in psychiatry · 2023Article
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- Predicting Attentional Vulnerability to Sleep Deprivation: A Multivariate Pattern Analysis of DTI Data.Nature and science of sleep · 2022Article
- The 3-Minute Psychomotor Vigilance Test Demonstrates Inadequate Convergent Validity Relative to the 10-Minute Psychomotor Vigilance Test Across Sleep Loss and Recovery.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
STUDY
objectivesSleep loss produces large individual differences in neurobehavioral responses, with marked vulnerability or resilience among individuals. Such differences are stable with repeated exposures to acute total sleep deprivation (TSD) or chronic sleep restriction (SR) within short (weeks) and long (years) intervals. Whether trait-like responses are observed to commonly experienced types of sleep loss and across various demographically defined groups remains unknown.
methodsEighty-three adults completed two baseline nights (10 h-12 h time-in-bed, TIB) followed by five 4 h TIB SR nights or 36 h TSD. Participants then received four 12-h TIB recovery nights followed by five SR nights or 36 h TSD, in counterbalanced order to the first sleep loss sequence. Neurobehavioral tests were completed every 2 h during wakefulness.
resultsParticipants who displayed neurobehavioral vulnerability to TSD displayed vulnerability to SR, evidenced by substantial to near perfect intraclass correlation coefficients (ICCs; 78%-91% across measures). Sex, race, age, body mass index (BMI), season, and sleep loss order did not impact ICCs significantly. Individuals exhibited significant consistency of responses within, but not between, performance and self-reported domains.
conclusionsUsing the largest, most diverse sample to date, we demonstrate for the first time the remarkable stability of phenotypic neurobehavioral responses to commonly experienced sleep loss types, across demographic variables and different performance and self-reported measures. Since sex, race, age, BMI, and season did not affect ICCs, these variables are not useful for determining stability of responses to sleep loss, underscoring the criticality of biological predictors. Our findings inform mathematical models and are relevant for the general population and military and health professions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.