Literature DB >> 28019041

Interindividual differences in the dynamics of the homeostatic process are trait-like and distinct for sleep versus wakefulness.

Thomas Rusterholz1,2, Leila Tarokh1,2,3, Hans P A Van Dongen4,5, Peter Achermann1,6,7,8,9.   

Abstract

The sleep homeostatic Process S reflects the build-up of sleep pressure during waking and its dissipation during sleep. Process S is modelled as a saturating exponential function during waking and a decreasing exponential function during sleep. Slow wave activity is a physiological marker for non-rapid eye movement (non-REM) sleep intensity and serves as an index of Process S. There is considerable interindividual variability in the sleep homeostatic responses to sleep and sleep deprivation. The aim of this study was to investigate whether interindividual differences in Process S are trait-like. Polysomnographic recordings of 8 nights (12-h sleep opportunities, 22:00-10:00 hours) interspersed with three 36-h periods of sustained wakefulness were performed in 11 healthy young adults. Empirical mean slow wave activity per non-REM sleep episode at episode mid-points were used for parameter estimation. Parameters of Process S were estimated using different combinations of consecutive sleep recordings, resulting in two to three sets of parameters per subject. Intraclass correlation coefficients were calculated to assess whether the parameters were stable across the study protocol and they showed trait-like variability among individuals. We found that the group-average time constants of the build-up and dissipation of Process S were 19.2 and 2.7 h, respectively. Intraclass correlation coefficients ranged from 0.48 to 0.56, which reflects moderate trait variability. The time constants of the build-up and dissipation varied independently among subjects, indicating two distinct traits. We conclude that interindividual differences in the parameters of the dynamics of the sleep homeostatic Process S are trait-like.
© 2016 European Sleep Research Society.

Entities:  

Keywords:  ICC; mathematical modeling; multiple recordings; phenotype; sleep/wake regulation; variance components

Mesh:

Year:  2016        PMID: 28019041     DOI: 10.1111/jsr.12483

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  11 in total

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4.  Optimizing computation of overnight decline in delta power: Evidence for slower rate of decline in delta power in insomnia patients.

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5.  Healthy Adults Display Long-Term Trait-Like Neurobehavioral Resilience and Vulnerability to Sleep Loss.

Authors:  Laura E Dennis; Rachael J Wohl; Lauren A Selame; Namni Goel
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Authors:  Ju Lynn Ong; June C Lo; Amiya Patanaik; Michael W L Chee
Journal:  J Sleep Res       Date:  2019-02-06       Impact factor: 3.981

7.  Working around the Clock: Is a Person's Endogenous Circadian Timing for Optimal Neurobehavioral Functioning Inherently Task-Dependent?

Authors:  Rachael A Muck; Amanda N Hudson; Kimberly A Honn; Shobhan Gaddameedhi; Hans P A Van Dongen
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Authors:  Gina Marie Mathew; Stephen M Strayer; David S Bailey; Katherine Buzzell; Kelly M Ness; Margeaux M Schade; Nicole G Nahmod; Orfeu M Buxton; Anne-Marie Chang
Journal:  Nat Sci Sleep       Date:  2021-07-14

10.  Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation.

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