Evidence map›Paper›PMID 33479280›Full record

ArticleScientific reports2021

A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum.

Róbert Bódizs, Orsolya Szalárdy, Csenge Horváth, Péter P Ujma, Ferenc Gombos, Péter Simor, Adrián Pótári, Marcel Zeising, Axel Steiger, Martin Dresler

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  11. Sleep Spindle Abnormalities in Preschool Children With Autism Spectrum Disability: Insights From Nap Polysomnography.Autism research : official journal of the International Society for Autism Research · 2025
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  19. Multiple Intrinsic Timescales Govern Distinct Brain States in Human Sleep.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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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

10 authors at 6 institutions in 4 countries.

Róbert BódizsInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary. bodizs.robert@med.semmelweis-univ.hu.
Orsolya SzalárdyInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Csenge HorváthInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Péter P UjmaInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Ferenc GombosDepartment of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary.
Péter SimorInstitute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Adrián PótáriMTA-PPKE Adolescent Development Research Group, Budapest, Hungary.
Marcel ZeisingMax Planck Institute of Psychiatry, Research Group Sleep Endocrinology, Munich, Germany.
Axel SteigerMax Planck Institute of Psychiatry, Research Group Sleep Endocrinology, Munich, Germany.
Martin DreslerDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Semmelweis University · HUMax Planck Institute of Psychiatry · DEBudapest University of Technology and Economics · HUInstitute of Cognitive Neuroscience and Psychology · HUPázmány Péter Catholic University · HURadboud University Nijmegen · NL

Funding

Egészségügyi Tudományos Tanács ETT-162/2003European Cooperation in Science and Technology COST Action CA18106Fundação Bial 55/10Hungarian National Research, Development and Innovation Office K-128117Ministry of Human Capacities in Hungary FIKP Neurology-Semmelweis UNiversityNetherlands Organization for Scientific Research NWO
6 · The paper itself

Abstract

Features of sleep were shown to reflect aging, typical sex differences and cognitive abilities of humans. However, these measures are characterized by redundancy and arbitrariness. Our present approach relies on the assumptions that the spontaneous human brain activity as reflected by the scalp-derived electroencephalogram (EEG) during non-rapid eye movement (NREM) sleep is characterized by arrhythmic, scale-free properties and is based on the power law scaling of the Fourier spectra with the additional consideration of the rhythmic, oscillatory waves at specific frequencies, including sleep spindles. Measures derived are the spectral intercept and slope, as well as the maximal spectral peak amplitude and frequency in the sleep spindle range, effectively reducing 191 spectral measures to 4, which were efficient in characterizing known age-effects, sex-differences and cognitive correlates of sleep EEG. Future clinical and basic studies are supposed to be significantly empowered by the efficient data reduction provided by our approach.

Indexed as

AdolescentAdultElectroencephalographyFemaleHumansMaleMiddle AgedPolysomnographySleepSleep, Slow-WaveSleep StagesYoung Adult

Identifiers

PMID33479280
PMCPMC7820008
OpenAlexW3125522095

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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.