The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
A model of human sleep homeostasis based on EEG slow-wave activity: Quantitative comparison of data and simulations
Abstract
EEG slow-wave activity (SWA; spectral power in the 0.75-4.5 Hz band) is a function of the duration of prior waking and, thereby, an indicator of sleep homeostasis. We present a model that accounts for both the declining trend of SWA during sleep and for its variation within the successive nonrapid eye movement (non-REM) sleep episodes. The values of the model parameters were estimated by an optimization procedure in which empirical SWA of baseline nights (16 subjects, 26 nights) served as a reference. A sensitivity analysis revealed the model to be quite robust to small changes (+/- 5%) of the parameter values. The estimated parameter values were used to simulate data sets from three different experimental protocols (sleep in the evening or sleep in the morning after prolonged waking, or extended sleep initiated at the habitual bedtime; n = 8 or 9). The timing of the REM trigger parameter was derived from the empirical data. A close fit was obtained between the simulated and empirical SWA data, and even the occasional late SWA peaks during extended sleep could be reproduced. Minor discrepancies suggest indirect or direct circadian influences on SWA. The simulations demonstrate that the concept of sleep homeostasis as proposed in the two-process model of sleep regulation can be refined to account in quantitative terms for empirical data and to predict the changes induced by the prolongation of waking or sleep.
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“The longer we are awake, the stronger the pressure for sleep. While we are asleep, this pressure dissipates, and as soon as we wake up, the process starts all over again, just like turning an hourglass at every transition between sleep and wakefulness [1, 53, 88].”
From Sleep, vigilance, and thermosensitivity (2012) · cites this paper as [1]
Citations
Cites
Two-Process Model of Sleep Regulation
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Self-citationBright Light Induction of Strong (Type 0) Resetting of the Human Circadian Pacemaker
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Research works printed but not linked: 1
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Neurocognitive consequences of sleep deprivation
Goel, N., Rao, H., Durmer, J., & Dinges, D. (2009) · Seminars in Neurology · doi:10.1055/s-0029-1237117 · Cited by 2,154
Sleep Patterns and Predictors of Disturbed Sleep in a Large Population of College Students
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The two‐process model of sleep regulation: a reappraisal
Borbély, A. A., Daan, S., Wirz‐Justice, A., & Deboer, T. (2016) · Journal of Sleep Research · doi:10.1111/jsr.12371 · Cited by 1,577
Self-citationSleep Homeostasis and Models of Sleep Regulation
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Metadata
- Authors
- Achermann, P., Dijk, D.-J., Brunner, D. P., & Borbély, A. A.
- Affiliations
- University of Zurich (CH)
- Corresponding author
- Achermann, Peter
- Venue
- Brain Research Bulletin
- Publisher
- Elsevier BV
- Published
- 1993
- Volume
- 31
- Issue
- 1-2
- Pages
- 97-113
- ISSN
- 0361-9230 (ISSN-L)
- OpenAlex
- W1963859198
- Cited by
- 470
- References
- 59
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 22 · 2023: 18 · 2022: 23 · 2021: 12 · 2020: 15 · 2019: 21 · 2018: 24 · 2017: 16 · 2016: 15 · 2015: 20 · 2014: 15 · 2013: 25 · 2012: 14
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Research Bulletin (publishedVersion)
- PubMed (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Funders
- National Institutes of Health (RRO1693)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- sleep homeostasis, EEG slow-wave activity, NREM sleep, REM sleep, sleep-wake cycle, parameter estimation
- MeSH terms
- Adult, Circadian Rhythm, Computer Simulation, Electroencephalography, Homeostasis, Humans, Male, Models, Biological, Sleep, Sleep Deprivation, Sleep Stages
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