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Published on: April 7, 2020
Weekday and weekend sleep times across the human lifespan: a model-based simulation
Arcady A Putilov1,2, Evgeniy G Verevkin3
1Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, 117865, Russia. arcady.putilov@gmail.com.
Age-related changes in sleep timing and duration are explained by the decay of slow-wave activity. This decay influences sleep pressure buildup and circadian rhythms, affecting sleep patterns across adolescence and adulthood.
Area of Science:
- Sleep science
- Chronobiology
- Neuroscience
Background:
- Sleep timing shifts toward later and earlier during adolescence and adulthood, respectively.
- Sleep duration shows an inverse relationship with age, unlike sleep timing.
- Variations in circadian and homeostatic sleep regulation mechanisms likely cause these age-associated differences.
Purpose of the Study:
- To find a parsimonious explanation for differing age-related sleep timing and duration patterns.
- To simulate sleep patterns using a two-process model of sleep regulation.
Main Methods:
- Utilized 1404 samples of reported weekday and weekend sleep times, divided into 15 age subsets.
- Performed simulations of sleep times, considering age-associated variations in circadian phase.
Main Results:
- Age-associated decay of slow-wave activity explains decreased weekend sleep duration.
- This decay also accounts for the reduced rate of sleep pressure buildup during wakefulness.
- The model successfully explains both the delay in sleep timing during adolescence and the advance during adulthood.
Conclusions:
- Functional relationships exist between age-related changes in sleep duration, sleep pressure, and slow-wave activity.
- Slow-wave activity serves as an electrophysiological marker for cortical metabolic rate and synaptic plasticity.
- These findings offer a unified explanation for age-dependent sleep regulation dynamics.
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