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.

Details

Title
Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG
Author
G. Horváth, Csenge 1 ; Szalárdy, Orsolya 2 ; Ujma, Péter P. 1 ; Simor, Péter 3 ; Gombos, Ferenc 4 ; Kovács, Ilona 5 ; Dresler, Martin 6 ; Bódizs, Róbert 1 

 Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary (GRID:grid.11804.3c) (ISNI:0000 0001 0942 9821) 
 Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary (GRID:grid.11804.3c) (ISNI:0000 0001 0942 9821); Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary (GRID:grid.425578.9) (ISNI:0000 0004 0512 3755) 
 ELTE, Eötvös Loránd University, Institute of Psychology, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276); UR2NF, Neuropsychology and Functional Neuroimaging Research Unit at CRCN-Center for Research in Cognition and Neurosciences and UNI-ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium (GRID:grid.4989.c) (ISNI:0000 0001 2348 0746) 
 Pázmány Péter Catholic University, Laboratory for Psychological Research, Budapest, Hungary (GRID:grid.425397.e) (ISNI:0000 0001 0807 2090); Eötvös Loránd University, ELRN-ELTE-PPKE Adolescent Development Research Group, Faculty of Education and Psychology, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276) 
 Eötvös Loránd University, ELRN-ELTE-PPKE Adolescent Development Research Group, Faculty of Education and Psychology, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276) 
 Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (GRID:grid.10417.33) (ISNI:0000 0004 0444 9382) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2730915760
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.