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The Regional EEG Pattern of the Sleep Onset Process in Older Adults

Healthy aging is characterized by macrostructural sleep changes and alterations of regional electroencephalographic (EEG) sleep features. However, the spatiotemporal EEG pattern of the wake-sleep transition has never been described in the elderly. The present study aimed to assess the topographical...

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Autores principales: Gorgoni, Maurizio, Scarpelli, Serena, Annarumma, Ludovica, D’Atri, Aurora, Alfonsi, Valentina, Ferrara, Michele, De Gennaro, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534130/
https://www.ncbi.nlm.nih.gov/pubmed/34679326
http://dx.doi.org/10.3390/brainsci11101261
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author Gorgoni, Maurizio
Scarpelli, Serena
Annarumma, Ludovica
D’Atri, Aurora
Alfonsi, Valentina
Ferrara, Michele
De Gennaro, Luigi
author_facet Gorgoni, Maurizio
Scarpelli, Serena
Annarumma, Ludovica
D’Atri, Aurora
Alfonsi, Valentina
Ferrara, Michele
De Gennaro, Luigi
author_sort Gorgoni, Maurizio
collection PubMed
description Healthy aging is characterized by macrostructural sleep changes and alterations of regional electroencephalographic (EEG) sleep features. However, the spatiotemporal EEG pattern of the wake-sleep transition has never been described in the elderly. The present study aimed to assess the topographical and temporal features of the EEG during the sleep onset (SO) in a group of 36 older participants (59–81 years). The topography of the 1 Hz bins’ EEG power and the time course of the EEG frequency bands were assessed. Moreover, we compared the delta activity and delta/beta ratio between the older participants and a group of young adults. The results point to several peculiarities in the elderly: (a) the generalized post-SO power increase in the slowest frequencies did not include the 7 Hz bin; (b) the alpha power revealed a frequency-specific pattern of post-SO modifications; (c) the sigma activity exhibited only a slight post-SO increase, and its highest bins showed a frontotemporal power decrease. Older adults showed a generalized reduction of delta power and delta/beta ratio in both pre- and post-SO intervals compared to young adults. From a clinical standpoint, the regional EEG activity may represent a target for brain stimulation techniques to reduce SO latency and sleep fragmentation.
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spelling pubmed-85341302021-10-23 The Regional EEG Pattern of the Sleep Onset Process in Older Adults Gorgoni, Maurizio Scarpelli, Serena Annarumma, Ludovica D’Atri, Aurora Alfonsi, Valentina Ferrara, Michele De Gennaro, Luigi Brain Sci Article Healthy aging is characterized by macrostructural sleep changes and alterations of regional electroencephalographic (EEG) sleep features. However, the spatiotemporal EEG pattern of the wake-sleep transition has never been described in the elderly. The present study aimed to assess the topographical and temporal features of the EEG during the sleep onset (SO) in a group of 36 older participants (59–81 years). The topography of the 1 Hz bins’ EEG power and the time course of the EEG frequency bands were assessed. Moreover, we compared the delta activity and delta/beta ratio between the older participants and a group of young adults. The results point to several peculiarities in the elderly: (a) the generalized post-SO power increase in the slowest frequencies did not include the 7 Hz bin; (b) the alpha power revealed a frequency-specific pattern of post-SO modifications; (c) the sigma activity exhibited only a slight post-SO increase, and its highest bins showed a frontotemporal power decrease. Older adults showed a generalized reduction of delta power and delta/beta ratio in both pre- and post-SO intervals compared to young adults. From a clinical standpoint, the regional EEG activity may represent a target for brain stimulation techniques to reduce SO latency and sleep fragmentation. MDPI 2021-09-24 /pmc/articles/PMC8534130/ /pubmed/34679326 http://dx.doi.org/10.3390/brainsci11101261 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gorgoni, Maurizio
Scarpelli, Serena
Annarumma, Ludovica
D’Atri, Aurora
Alfonsi, Valentina
Ferrara, Michele
De Gennaro, Luigi
The Regional EEG Pattern of the Sleep Onset Process in Older Adults
title The Regional EEG Pattern of the Sleep Onset Process in Older Adults
title_full The Regional EEG Pattern of the Sleep Onset Process in Older Adults
title_fullStr The Regional EEG Pattern of the Sleep Onset Process in Older Adults
title_full_unstemmed The Regional EEG Pattern of the Sleep Onset Process in Older Adults
title_short The Regional EEG Pattern of the Sleep Onset Process in Older Adults
title_sort regional eeg pattern of the sleep onset process in older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534130/
https://www.ncbi.nlm.nih.gov/pubmed/34679326
http://dx.doi.org/10.3390/brainsci11101261
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