Evidence map›Paper›PMID 40170232›Full record

ArticleJournal of sleep research2025

The Space-Time Organisation of Sleep Slow Oscillations as Potential Biomarker for Hypersomnolence.

Mahmoud Alipour, Joseph Rausch, Sara C Mednick, Jesse D Cook, David T Plante, Paola Malerba

Abstract readComparative Study
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Mahmoud AlipourCenter for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.ORCID 0000-0001-7314-4185
Joseph RauschCenter for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.
Sara C MednickDepartment of Cognitive Sciences, University of California, Irvine, California, USA.
Jesse D CookDepartment of Psychiatry, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin, USA.ORCID 0000-0003-1905-0262
David T PlanteDepartment of Psychiatry, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin, USA.
Paola MalerbaCenter for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.ORCID 0000-0002-8733-899X

Funding

Hypersomnia in Major Depressive Disorder: a high-density EEG investigationK23MH099234 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI PLANTE, DAVID T · 2013 to 2017
$972k
The space-time organization of sleep oscillations as potential biomarker for hypersomnolenceR21HL170255 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI MALERBA, PAOLA · 2023 to 2024
$248k
NHLBI NIH HHS R21 HL170255NHLBI NIH HHS R21HL170255NIMH NIH HHS K23 MH099234NIMH NIH HHS K23MH099234
6 · The paper itself

Abstract

Research suggests that the spatial profile of slow wave activity (SWA) could be altered in hypersomnolence. Slow oscillations (SOs; 0.5-1.5 Hz), single waveform events contributing to SWA, can be labelled as Global, Frontal, or Local depending on their presentation on the scalp. We showed that SO space-time types differentiate in their amplitudes, coordination with sleep spindles, and propagation patterns. This study applies our data-driven analysis to the nocturnal sleep of adults with and without hypersomnolence and major depressive disorder (MDD) to explore the potential relevance of SO space-time patterns as hypersomnolence signatures in the sleep EEG. We leverage an existing dataset of nocturnal polysomnography with high-density EEG in 83 adults, organised in four groups depending on the presence/absence of hypersomnolence and on the presence/absence of MDD. Group comparisons were conducted considering either two groups (hypersomnolence status) or the four groups separately. Data shows enhanced Frontal SO activity compared with Global activity in hypersomnolence, with or without MDD, and a loss of Global SO amplitude at central regions in hypersomnolence without MDD compared to controls. As Global SOs travel fronto-parietally, we interpret these results as likely driven by a loss of coordination of Global SO activity in hypersomnolence without MDD, resulting in an overabundance of Frontal SOs. This study suggests that characteristics of Frontal SO and Global SOs may have the potential to differentiate individuals with hypersomnolence without MDD, and that the space-time organisation of SOs could be a mechanistically relevant indicator of changes in sleep brain dynamics related to hypersomnolence.

Indexed as

Biological ClocksBrain WavesDisorders of Excessive SomnolenceMajor Depressive DisorderSleep, Slow-WaveAdultBiomarkersDatasets as TopicElectroencephalographyFemaleHumansMalePolysomnographyBiomarkershypersomniamajor depressive disordersleep EEGslow wave activity

Identifiers

PMID40170232
PMCPMC12426695

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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.