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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Main Authors: Antonio Fernandez Guerrero, Peter Achermann
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:Neurobiology of Sleep and Circadian Rhythms
Online Access:http://www.sciencedirect.com/science/article/pii/S2451994418300178
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spelling doaj-cb1750454fae442faf3e849f7e437b9c2020-11-25T00:52:24ZengElsevierNeurobiology of Sleep and Circadian Rhythms2451-99442019-01-0162434Brain dynamics during the sleep onset transition: An EEG source localization studyAntonio Fernandez Guerrero0Peter Achermann1Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, SwitzerlandInstitute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland; The KEY Institute for Brain‑Mind Research, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Zurich Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland; Corresponding author at: Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.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. Keywords: EEG sources, Transition into sleep, Homeostasis, Delta activity, Sigma activity, LORETAhttp://www.sciencedirect.com/science/article/pii/S2451994418300178
collection DOAJ
language English
format Article
sources DOAJ
author Antonio Fernandez Guerrero
Peter Achermann
spellingShingle Antonio Fernandez Guerrero
Peter Achermann
Brain dynamics during the sleep onset transition: An EEG source localization study
Neurobiology of Sleep and Circadian Rhythms
author_facet Antonio Fernandez Guerrero
Peter Achermann
author_sort Antonio Fernandez Guerrero
title 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_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_sort brain dynamics during the sleep onset transition: an eeg source localization study
publisher Elsevier
series Neurobiology of Sleep and Circadian Rhythms
issn 2451-9944
publishDate 2019-01-01
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. Keywords: EEG sources, Transition into sleep, Homeostasis, Delta activity, Sigma activity, LORETA
url http://www.sciencedirect.com/science/article/pii/S2451994418300178
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