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

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 measure...

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Autores principales: G. Horváth, Csenge, Szalárdy, Orsolya, Ujma, Péter P., Simor, Péter, Gombos, Ferenc, Kovács, Ilona, Dresler, Martin, Bódizs, Róbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626458/
https://www.ncbi.nlm.nih.gov/pubmed/36319742
http://dx.doi.org/10.1038/s41598-022-23033-y
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author G. Horváth, Csenge
Szalárdy, Orsolya
Ujma, Péter P.
Simor, Péter
Gombos, Ferenc
Kovács, Ilona
Dresler, Martin
Bódizs, Róbert
author_facet G. Horváth, Csenge
Szalárdy, Orsolya
Ujma, Péter P.
Simor, Péter
Gombos, Ferenc
Kovács, Ilona
Dresler, Martin
Bódizs, Róbert
author_sort G. Horváth, Csenge
collection PubMed
description 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.
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spelling pubmed-96264582022-11-03 Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG G. Horváth, Csenge Szalárdy, Orsolya Ujma, Péter P. Simor, Péter Gombos, Ferenc Kovács, Ilona Dresler, Martin Bódizs, Róbert Sci Rep Article 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. Nature Publishing Group UK 2022-11-01 /pmc/articles/PMC9626458/ /pubmed/36319742 http://dx.doi.org/10.1038/s41598-022-23033-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
G. Horváth, Csenge
Szalárdy, Orsolya
Ujma, Péter P.
Simor, Péter
Gombos, Ferenc
Kovács, Ilona
Dresler, Martin
Bódizs, Róbert
Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
title Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
title_full Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
title_fullStr Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
title_full_unstemmed Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
title_short Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
title_sort overnight dynamics in scale-free and oscillatory spectral parameters of nrem sleep eeg
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626458/
https://www.ncbi.nlm.nih.gov/pubmed/36319742
http://dx.doi.org/10.1038/s41598-022-23033-y
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