Evidence map›Paper›PMID 35466270›Full record

ArticleClocks & sleep2022

Direct Effects of Light on Sleep under Ultradian Light-Dark Cycles Depend on Circadian Time and Pulses Duration.

Fanny Fuchs, Ludivine Robin-Choteau, Laurence Hugueny, Dominique Ciocca, Patrice Bourgin

Abstract read
In one paragraph

Article in Clocks & sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Fanny FuchsInovarion, 75005 Paris, France.ORCID 0000-0002-7598-6455
Ludivine Robin-ChoteauInstitut des Neurosciences Cellulaires et Intégratives-Centre National de la Recherche Scientifique (CNRS), UPR3212, Université de Strasbourg, 67000 Strasbourg, France.
Laurence HuguenyCHRU Strasbourg-Centre des Troubles du Sommeil, 67000 Strasbourg, France.ORCID 0000-0002-2792-3361
Dominique CioccaChronobiotron-UMS3415, Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg, 67000 Strasbourg, France.
Patrice BourginInstitut des Neurosciences Cellulaires et Intégratives-Centre National de la Recherche Scientifique (CNRS), UPR3212, Université de Strasbourg, 67000 Strasbourg, France.ORCID 0000-0003-2268-5840

Funding

Adiral association 9ADO/1089Eurometropole of Strasbourg LS 136213European Collectivity of Alsace - Grand Est Region 1182/15/C1
6 · The paper itself

Abstract

Ultradian light-dark cycles in rodents are a precious tool to study the direct effects of repeated light exposures on sleep, in order to better understand the underlying mechanisms. This study aims to precisely evaluate the effects of light and dark exposures, according to circadian time, on sleep and waking distribution and quality, and to determine if these effects depend on the duration of light and dark pulses. To do this, mice were exposed to 24 h-long ultradian light-dark cycles with different durations of pulses: T2 cycle (1 h of light/1 h of dark) and T7 cycle (3.5 h of light/3.5 h of dark). Exposure to light not only promotes NREM and REM sleep and inhibits wake, but also drastically alters alertness and modifies sleep depth. These effects are modulated by circadian time, appearing especially during early subjective night, and their kinetics is highly dependent on the duration of pulses, suggesting that in the case of pulses of longer duration, the homeostatic process could overtake light direct influence for shaping sleep and waking distribution.

Indexed as

alertnessECoG power spectrummicephotic regulationsleep and wakingsleep homeostasisslow wave activity

Identifiers

PMID35466270
PMCPMC9036312

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.