biostudies-literatureFlynn-Evans EENASANASA Human Research Program15594https://www.ebi.ac.uk/biostudies/studies/S-EPMC7515915biostudies-literatureUnknown10(1)Lunar habitation and exploration of space beyond low-Earth orbit will require small crews to live in isolation and confinement while maintaining a high level of performance with limited support from mission control. Astronauts only achieve approximately 6 h of sleep per night, but few studies have linked sleep deficiency in space to performance impairment. We studied crewmembers over 45 days during a simulated space mission that included 5 h of sleep opportunity on weekdays and 8 h of sleep on weekends to characterize changes in performance on the psychomotor vigilance task (PVT) and subjective fatigue ratings. We further evaluated how well bio-mathematical models designed to predict performance changes due to sleep loss compared to objective performance. We studied 20 individuals during fScientific reportsChanges in performance and bio-mathematical model performance predictions during 45 days of sleep restriction in a simulated space mission.PMC7515915NNJ15ZSA001NMarquez JJFlynn-Evans EEEnd AVogelpohl VPecena YHillenius SKirkley CYoung MBathurst NGregory KfalseChanges in performance and bio-mathematical model performance predictions during 45 days of sleep restriction in a simulated space mission.Lunar habitation and exploration of space beyond low-Earth orbit will require small crews to live in isolation and confinement while maintaining a high level of performance with limited support from mission control. Astronauts only achieve approximately 6 h of sleep per night, but few studies have linked sleep deficiency in space to performance impairment. We studied crewmembers over 45 days during a simulated space mission that included 5 h of sleep opportunity on weekdays and 8 h of sleep on weekends to characterize changes in performance on the psychomotor vigilance task (PVT) and subjective fatigue ratings. We further evaluated how well bio-mathematical models designed to predict performance changes due to sleep loss compared to objective performance. We studied 20 individuals during f2020-01-01T00:00:00Z2020 Sep2025-04-25T18:36:00.886Z2020-10-08T07:13:42ZS-EPMC75159153297315910.1038/s41598-020-71929-4