Evidence map›Paper›PMID 40394955›Full record

ArticleSleep2025

Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep.

Tamir Avigdor, Laure Peter-Derex, Alyssa Ho, Katharina Schiller, Yingqi Wang, Chifaou Abdallah, Edouard Delaire, Kassem Jaber, Vojtech Travnicek, Christophe Grova and 1 more

Abstract read
In one paragraph

Article in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Tamir AvigdorAnalytical Neurophysiology Lab, McGill University, Montreal, Quebec, Canada.
Laure Peter-DerexCenter for Sleep Medicine, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, FranceLyon Neuroscience Research Center, PAM Team, INSERM U1028 / CNRS UMR 5292 / Lyon 1 University, Lyon, France.ORCID 0000-0002-9938-9639
Alyssa HoAnalytical Neurophysiological Lab, Department of Neurology, Duke University, Durham, North Carolina, USA.
Katharina SchillerAnalytical Neurophysiology Lab, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-2163-3857
Yingqi WangAnalytical Neurophysiology Lab, McGill University, Montreal, Quebec, Canada.
Chifaou AbdallahAnalytical Neurophysiology Lab, McGill University, Montreal, Quebec, Canada.
Edouard DelaireMultimodal Functional Imaging Lab, Department of Physics, PERFORM Center / School of Health, Concordia University, Montreal, Quebec, Canada.ORCID 0000-0003-1421-1071
Kassem JaberAnalytical Neurophysiological Lab, Department of Neurology, Duke University, Durham, North Carolina, USA.
Vojtech TravnicekInstitute of Scientific Instruments, Czech Academy of Sciences, Brno, Czech Republic.
Christophe GrovaMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada.
Birgit FrauscherAnalytical Neurophysiology Lab, McGill University, Montreal, Quebec, Canada.

Funding

CIHR PJT-175056Natural Sciences and Engineering Research Council of Canada RGPIN2020-04127
6 · The paper itself

Abstract

Although rapid eye movement (REM) sleep is often thought of as a singular state, it consists of two substates, phasic and tonic REM, defined by the presence (respectively absence) of bursts of rapid eye movements. These two substates have distinct EEG signatures and functional properties. However, whether they exhibit regional specificities remains unknown. Using intracranial EEG recordings from 31 patients, we analyzed expert-labeled segments from tonic and phasic REM and contrasted them with wakefulness segments. We assessed the spectral and connectivity content of these segments using Welch's method to estimate power spectral density and the phase locking value to assess functional connectivity. Overall, we found a widespread power gradient between low and high frequencies (p < 0.05, Cohen's d = 0.17 ± 0.20), with tonic REM being dominated by lower frequencies (p < 0.01, d = 0.18 ± 0.08), and phasic REM by higher frequencies (p < 0.01, d = 0.18 ± 0.19). However, some regions, such as the occipito-temporal areas as well as medial frontal regions, exhibit opposite trends. Connectivity was overall higher in all bands except in the low and high ripple frequency bands in most networks during tonic REM (p < 0.01, d = 0.08 ± 0.09) compared to phasic REM. Yet, functional connections involving the visual network were always stronger during phasic REM when compared to tonic REM. These findings highlight the spatiotemporal heterogeneity of REM sleep which is consistent with the concept of focal sleep in humans.

Indexed as

BrainNerve NetSleep, REMAdultElectroencephalographyFemaleHumansMaleMiddle AgedPolysomnographyWakefulnessconnectivitymicrostatephasic REMREMspectrumtonic REM

Identifiers

PMID40394955
PMCPMC12351276

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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.