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Brain dynamics during the sleep onset transition: An EEG source localization study

EEG source localization is an essential tool to reveal the cortical sources underlying brain oscillatory activity. We applied LORETA, a technique of EEG source localization, to identify the principal brain areas involved in the process of falling asleep (sleep onset, SO). We localized the contributi...

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Detalles Bibliográficos
Autores principales: Fernandez Guerrero, Antonio, Achermann, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586601/
https://www.ncbi.nlm.nih.gov/pubmed/31236519
http://dx.doi.org/10.1016/j.nbscr.2018.11.001
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author Fernandez Guerrero, Antonio
Achermann, Peter
author_facet Fernandez Guerrero, Antonio
Achermann, Peter
author_sort Fernandez Guerrero, Antonio
collection PubMed
description EEG source localization is an essential tool to reveal the cortical sources underlying brain oscillatory activity. We applied LORETA, a technique of EEG source localization, to identify the principal brain areas involved in the process of falling asleep (sleep onset, SO). We localized the contributing brain areas of activity in the classical frequency bands and tracked their temporal evolution (in 2-min intervals from 2 min prior to SO up to 10 min after SO) during a baseline night and subsequent recovery sleep after total sleep deprivation of 40 h. Delta activity (0.5–5 Hz) gradually increased both in baseline and recovery sleep, starting in frontal areas and finally involving the entire cortex. This increase was steeper in the recovery condition. The evolution of sigma activity (12–16 Hz) resembled an inverted U-shape in both conditions and the activity was most salient in the parietal cortex. In recovery, sigma activity reached its maximum faster than in baseline, but attained lower levels. Theta activity (5–8 Hz) increased with time in large parts of the occipital lobe (baseline and recovery) and in recovery involved additionally frontal areas. Changes in alpha activity (8–12 Hz) at sleep onset involved large areas of the cortex, whereas activity in the beta range (16–24 Hz) was restricted to small cortical areas. The dynamics in recovery could be considered as a “fast-forward version” of the one in baseline. Our results confirm that the process of falling asleep is neither spatially nor temporally a uniform process and that different brain areas might be falling asleep at a different speed potentially reflecting use dependent aspects of sleep regulation.
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spelling pubmed-65866012019-06-24 Brain dynamics during the sleep onset transition: An EEG source localization study Fernandez Guerrero, Antonio Achermann, Peter Neurobiol Sleep Circadian Rhythms Article EEG source localization is an essential tool to reveal the cortical sources underlying brain oscillatory activity. We applied LORETA, a technique of EEG source localization, to identify the principal brain areas involved in the process of falling asleep (sleep onset, SO). We localized the contributing brain areas of activity in the classical frequency bands and tracked their temporal evolution (in 2-min intervals from 2 min prior to SO up to 10 min after SO) during a baseline night and subsequent recovery sleep after total sleep deprivation of 40 h. Delta activity (0.5–5 Hz) gradually increased both in baseline and recovery sleep, starting in frontal areas and finally involving the entire cortex. This increase was steeper in the recovery condition. The evolution of sigma activity (12–16 Hz) resembled an inverted U-shape in both conditions and the activity was most salient in the parietal cortex. In recovery, sigma activity reached its maximum faster than in baseline, but attained lower levels. Theta activity (5–8 Hz) increased with time in large parts of the occipital lobe (baseline and recovery) and in recovery involved additionally frontal areas. Changes in alpha activity (8–12 Hz) at sleep onset involved large areas of the cortex, whereas activity in the beta range (16–24 Hz) was restricted to small cortical areas. The dynamics in recovery could be considered as a “fast-forward version” of the one in baseline. Our results confirm that the process of falling asleep is neither spatially nor temporally a uniform process and that different brain areas might be falling asleep at a different speed potentially reflecting use dependent aspects of sleep regulation. Elsevier 2018-11-28 /pmc/articles/PMC6586601/ /pubmed/31236519 http://dx.doi.org/10.1016/j.nbscr.2018.11.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Fernandez Guerrero, Antonio
Achermann, Peter
Brain dynamics during the sleep onset transition: An EEG source localization study
title Brain dynamics during the sleep onset transition: An EEG source localization study
title_full Brain dynamics during the sleep onset transition: An EEG source localization study
title_fullStr Brain dynamics during the sleep onset transition: An EEG source localization study
title_full_unstemmed Brain dynamics during the sleep onset transition: An EEG source localization study
title_short Brain dynamics during the sleep onset transition: An EEG source localization study
title_sort brain dynamics during the sleep onset transition: an eeg source localization study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586601/
https://www.ncbi.nlm.nih.gov/pubmed/31236519
http://dx.doi.org/10.1016/j.nbscr.2018.11.001
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