Evidence map›Paper›PMID 29697841›Full record

ArticleSleep2018

Cortical region-specific sleep homeostasis in mice: effects of time of day and waking experience.

Mathilde C C Guillaumin, Laura E McKillop, Nanyi Cui, Simon P Fisher, Russell G Foster, Maarten de Vos, Stuart N Peirson, Peter Achermann, Vladyslav V Vyazovskiy

Abstract read
In one paragraph

Article in Sleep, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Activation of Basal Forebrain Astrocytes Induces Wakefulness without Compensatory Changes in Sleep Drive.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. The hypothalamic link between arousal and sleep homeostasis in mice.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Sleep and ageing: from human studies to rodent models.Current opinion in physiology · 2020
    Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mathilde C C GuillauminNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Laura E McKillopDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.
Nanyi CuiDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.
Simon P FisherDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.
Russell G FosterNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Maarten de VosDepartment of Engineering Science, University of Oxford, Headington, United Kingdom.
Stuart N PeirsonNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Peter AchermannInstitute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.
Vladyslav V VyazovskiyDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/J014427/1Biotechnology and Biological Sciences Research Council BB/K011847/1Medical Research Council MR/L003635/1
6 · The paper itself

Abstract

Sleep-wake history, wake behaviors, lighting conditions, and circadian time influence sleep, but neither their relative contribution nor the underlying mechanisms are fully understood. The dynamics of electroencephalogram (EEG) slow-wave activity (SWA) during sleep can be described using the two-process model, whereby the parameters of homeostatic Process S are estimated using empirical EEG SWA (0.5-4 Hz) in nonrapid eye movement sleep (NREMS), and the 24 hr distribution of vigilance states. We hypothesized that the influence of extrinsic factors on sleep homeostasis, such as the time of day or wake behavior, would manifest in systematic deviations between empirical SWA and model predictions. To test this hypothesis, we performed parameter estimation and tested model predictions using NREMS SWA derived from continuous EEG recordings from the frontal and occipital cortex in mice. The animals showed prolonged wake periods, followed by consolidated sleep, both during the dark and light phases, and wakefulness primarily consisted of voluntary wheel running, learning a new motor skill or novel object exploration. Simulated SWA matched empirical levels well across conditions, and neither waking experience nor time of day had a significant influence on the fit between data and simulation. However, we consistently observed that Process S declined during sleep significantly faster in the frontal than in the occipital area of the neocortex. The striking resilience of the model to specific wake behaviors, lighting conditions, and time of day suggests that intrinsic factors underpinning the dynamics of Process S are robust to extrinsic influences, despite their major role in shaping the overall amount and distribution of vigilance states across 24 hr.

Indexed as

Motor ActivityAnimalsCircadian RhythmElectroencephalographyFrontal LobeHomeostasisMaleMiceOccipital LobeSleepWakefulness

Identifiers

PMID29697841
PMCPMC6047413

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.