Evidence map›Paper›PMID 36319742›Full record

ArticleScientific reports2022

Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG.

Csenge G Horváth, Orsolya Szalárdy, Péter P Ujma, Péter Simor, Ferenc Gombos, Ilona Kovács, Martin Dresler, Róbert Bódizs

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

8 authors.

Csenge G HorváthInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary. horvath.csenge@phd.semmelweis.hu.
Orsolya SzalárdyInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Péter P UjmaInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Péter SimorInstitute of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary.
Ferenc GombosLaboratory for Psychological Research, Pázmány Péter Catholic University, Budapest, Hungary.
Ilona KovácsELRN-ELTE-PPKE Adolescent Development Research Group, Faculty of Education and Psychology, Eötvös Loránd University, Budapest, Hungary.
Martin DreslerDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Róbert BódizsInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.

Funding

European Cooperation in Science and Technology CA18106Hungarian National Research, Development and Innovation Office K-128117Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund TKP2021-EGA-25Netherlands Organization for Scientific Research NWO
6 · The paper itself

Abstract

Unfolding the overnight dynamics in human sleep features plays a pivotal role in understanding sleep regulation. Studies revealed the complex reorganization of the frequency composition of sleep electroencephalogram (EEG) during the course of sleep, however the scale-free and the oscillatory measures remained undistinguished and improperly characterized before. By focusing on the first four non-rapid eye movement (NREM) periods of night sleep records of 251 healthy human subjects (4-69 years), here we reveal the flattening of spectral slopes and decrease in several measures of the spectral intercepts during consecutive sleep cycles. Slopes and intercepts are significant predictors of slow wave activity (SWA), the gold standard measure of sleep intensity. The overnight increase in spectral peak sizes (amplitudes relative to scale-free spectra) in the broad sigma range is paralleled by a U-shaped time course of peak frequencies in frontopolar regions. Although, the set of spectral indices analyzed herein reproduce known age- and sex-effects, the interindividual variability in spectral slope steepness is lower as compared to the variability in SWA. Findings indicate that distinct scale-free and oscillatory measures of sleep EEG could provide composite measures of sleep dynamics with low redundancy, potentially affording new insights into sleep regulatory processes in future studies.

Indexed as

ElectroencephalographySleep, Slow-WaveHumansSleepSleep Stages

Identifiers

PMID36319742
PMCPMC9626458

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.