Evidence map›Paper›PMID 36974322›Full record

ArticleNeurobiology of sleep and circadian rhythms2023

Cardiorespiratory changes associated with micro-arousals during naps.

Elpidio Attoh-Mensah, Ivan Igor-Gaez, Lydie Vincent, Nicolas Bessot, Clément Nathou, Olivier Etard

Abstract read
In one paragraph

Article in Neurobiology of sleep and circadian rhythms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Elpidio Attoh-MensahNormandie Université, UNICAEN, INSERM, COMETE, CYCERON, CHU de Caen, 14000, Caen, France.
Ivan Igor-GaezNormandie Université, UNICAEN, INSERM, COMETE, CYCERON, CHU de Caen, 14000, Caen, France.
Lydie VincentNormandie Université, UNICAEN, INSERM, COMETE, CYCERON, CHU de Caen, 14000, Caen, France.
Nicolas BessotNormandie Université, UNICAEN, INSERM, COMETE, CYCERON, CHU de Caen, 14000, Caen, France.
Clément NathouNormandie Université, UNICAEN, INSERM, COMETE, CYCERON, CHU de Caen, 14000, Caen, France.
Olivier EtardNormandie Université, UNICAEN, INSERM, COMETE, CYCERON, CHU de Caen, 14000, Caen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The autonomic nervous system (ANS) and the central nervous system (CNS) interplay during sleep, particularly during phasic events such as micro-arousals, has been the subject of several studies. The underlying mechanisms of such relationship which remain unclear, specifically during daytime sleep, were partly investigated in this study. Napping polysomnography was performed on two occasions at least one week apart in 15 healthy subjects. The following cardiorespiratory variables were extracted from the recordings: tachogram, pulse transit time (PTT), pulse wave amplitude, respiratory cycle amplitude, and frequency. Two experts first detected micro-arousal events, then, cardiorespiratory variables were averaged by 30-s epochs over 2 min centered on the onset of the micro-arousals. We found that in the 30 s preceding the arousal events as detected on the electroencephalogram (EEG) recordings, there was a decrease in tachogram, pulse wave amplitude, and PTT values while the respiratory amplitude increased. These changes were more prominent in stage N2 and N3 sleep than in stage N1. The present findings provide new insights into the autonomic changes during the pre-arousal period in daytime naps, as all the variables investigated suggest a sympathetic physiological origin for the changes.

Indexed as

Autonomic activationCardiorespiratory outcomeDaytime sleepMicro-arousalsNaps

Identifiers

PMID36974322
PMCPMC10038786

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Registered trials

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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.