Infraslow oscillations in human sleep spindle activity.
EEG
Infraslow oscillations
Sigma
Sleep
Sleep spindles
Journal
Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558
Informations de publication
Date de publication:
15 03 2019
15 03 2019
Historique:
received:
22
08
2018
revised:
29
10
2018
accepted:
04
12
2018
pubmed:
21
12
2018
medline:
29
7
2020
entrez:
21
12
2018
Statut:
ppublish
Résumé
It has previously been reported that EEG sigma (10-15 Hz) activity during sleep exhibits infraslow oscillations (ISO) with a period of 50 s. However, a detailed analysis of the ISO of individually identified sleep spindles is not available. We investigated basic properties of ISO during baseline sleep of 34 healthy young human participants using new and established methods. The analyses focused on fast sleep spindle and sigma activity (13-15 Hz) in NREM stage 2 and slow wave sleep (SWS). To describe ISO in sigma activity we analyzed power of power of the EEG signal. For the study of ISO in sleep spindle activity we applied a new method in which the EEG signal was reduced to a spindle on/off binary square signal. Its spectral properties were contrasted to that of a square signal wherein the same spindles and also the inter spindle intervals were permutated randomly. This approach was validated using surrogate data with imposed ISO modulation. We confirm the existence of ISO in sigma activity albeit with a frequency below the previously reported 0.02 Hz. These ISO are most prominent in the high sigma band and over the centro-parieto-occipital regions. A similar modulation is present in spindle activity. ISO in sleep spindles are most prominent in the centro-parieto-occipital regions, left hemisphere and second half of the night independent of the number of spindles. The comparison of spectral properties of binary event signals and permutated event signals is effective in detecting slow oscillatory phenomena.
Sections du résumé
BACKGROUND
It has previously been reported that EEG sigma (10-15 Hz) activity during sleep exhibits infraslow oscillations (ISO) with a period of 50 s. However, a detailed analysis of the ISO of individually identified sleep spindles is not available.
NEW METHOD
We investigated basic properties of ISO during baseline sleep of 34 healthy young human participants using new and established methods. The analyses focused on fast sleep spindle and sigma activity (13-15 Hz) in NREM stage 2 and slow wave sleep (SWS). To describe ISO in sigma activity we analyzed power of power of the EEG signal. For the study of ISO in sleep spindle activity we applied a new method in which the EEG signal was reduced to a spindle on/off binary square signal. Its spectral properties were contrasted to that of a square signal wherein the same spindles and also the inter spindle intervals were permutated randomly. This approach was validated using surrogate data with imposed ISO modulation.
RESULTS
We confirm the existence of ISO in sigma activity albeit with a frequency below the previously reported 0.02 Hz. These ISO are most prominent in the high sigma band and over the centro-parieto-occipital regions. A similar modulation is present in spindle activity. ISO in sleep spindles are most prominent in the centro-parieto-occipital regions, left hemisphere and second half of the night independent of the number of spindles.
CONCLUSIONS
The comparison of spectral properties of binary event signals and permutated event signals is effective in detecting slow oscillatory phenomena.
Identifiants
pubmed: 30571990
pii: S0165-0270(18)30394-7
doi: 10.1016/j.jneumeth.2018.12.002
pmc: PMC6390176
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
22-34Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/F022883/1
Pays : United Kingdom
Informations de copyright
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.
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