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Bidirectional Predictors Between Neurobehavioural Measures During Total Sleep Deprivation and Baseline and Recovery
Lauren N Pasetes1, Namni Goel1
1Biological Rhythms Research Laboratory, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA.
Journal of Sleep Research
|March 8, 2025
Summary
Good baseline sleep predicts better resilience to sleepiness and fatigue during total sleep deprivation (TSD). Conversely, strong cognitive performance during TSD predicts improved recovery sleep. These findings highlight bidirectional links between sleep and neurobehavioral outcomes.
Area of Science:
- Sleep science
- Neuroscience
- Human physiology
Background:
- Understanding the relationship between sleep quality and cognitive function under stress is crucial.
- Previous research has not fully explored the bidirectional predictive relationships between baseline sleep, recovery sleep, and neurobehavioral performance during total sleep deprivation (TSD).
Purpose of the Study:
- To investigate the bidirectional predictors between baseline (B2) and recovery night 1 (R1) actigraphic sleep measures and neurobehavioral indices during TSD.
- To identify how baseline sleep impacts TSD outcomes and how TSD performance influences subsequent recovery sleep.
Main Methods:
- A 5-day experiment involving 32 healthy adults.
- Wrist actigraphy was used to measure sleep indices during baseline and recovery nights.
- Neurobehavioral tests (Karolinska Sleepiness Scale, Profile of Mood States Fatigue, Digit Symbol Substitution Test, Digit Span Test, Psychomotor Vigilance Test) were administered during baseline daytime and TSD.
- Simple linear regression analyzed the predictive relationships.
Main Results:
- Higher baseline sleep efficiency predicted lower TSD sleepiness (KSS).
- Better baseline sleep onset and midpoint predicted lower TSD fatigue (POMS-F).
- Stronger TSD cognitive performance predicted poorer R1 sleep duration, longer sleep onset latency, and later sleep onset.
- More TSD lapses predicted longer R1 sleep duration, lower sleep efficiency, and increased wake after sleep onset.
- Females exhibited more significant bidirectional predictive relationships.
Conclusions:
- Baseline sleep quality is a significant predictor of subjective sleepiness and fatigue resilience during TSD.
- Cognitive performance during TSD is a predictor of subsequent recovery sleep quality.
- These findings reveal key predictors and potential biomarkers for individual differences in neurobehavioral responses to sleep loss.
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