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Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study
STUDY OBJECTIVES: To address sleep micro–macro-structures in psychophysiological insomnia (PPI) as denoted by cyclic alternating pattern (CAP), Sleep spindles, and hyperarousal as microstructures and sleep characteristics such as sleep stages’ variables, and heart rate as macrostructures. METHODS: T...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106013/ https://www.ncbi.nlm.nih.gov/pubmed/37361911 http://dx.doi.org/10.1007/s41782-023-00228-5 |
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author | Ghermezian, Ali Nami, Mohammad Shalbaf, Reza Khosrowabadi, Reza Nasehi, Mohammad Kamali, Ali-Mohammad |
author_facet | Ghermezian, Ali Nami, Mohammad Shalbaf, Reza Khosrowabadi, Reza Nasehi, Mohammad Kamali, Ali-Mohammad |
author_sort | Ghermezian, Ali |
collection | PubMed |
description | STUDY OBJECTIVES: To address sleep micro–macro-structures in psychophysiological insomnia (PPI) as denoted by cyclic alternating pattern (CAP), Sleep spindles, and hyperarousal as microstructures and sleep characteristics such as sleep stages’ variables, and heart rate as macrostructures. METHODS: Two statistical populations, with 20 participants in each, are addressed: good sleepers (GS) and patients with psychophysiological insomnia (PPI). The sleep polysomnography (PSG) for one night was performed and sleep macro–micro-structures extraction was implemented for each participant. Cyclic alternating patterns were scored manually and other structures were monitored by the original PSG’s device software. Analytical methods are used to dissect the results. RESULT: The findings imply: (a) psychophysiological insomnia is characterized by CAP differences from good sleepers which are associated with hyperarousal; (b) Regarding microstructure, more microarousals in sleep stages caused more number of wake index. (c) The ratio of sleep stages, sleep latency and heart rate as sleep macrostructure are significantly changed. (d) There is no significant difference between PPI and GS groups on spindles length in our research. CONCLUSION: Regarding all sleep disorders and especially PPI, CAP variables, EEG arousals, and sleep spindles as microstructures and Total Sleep Time, Sleep Latency, number of waking, REM duration, and Heart Rate as macrostructures were found to be critical for the diagnosis of psychophysiological insomnia The analysis contributes to understanding better approaches in the quantitative specification of psychophysiological insomnia compare to good sleepers. |
format | Online Article Text |
id | pubmed-10106013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-101060132023-04-17 Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study Ghermezian, Ali Nami, Mohammad Shalbaf, Reza Khosrowabadi, Reza Nasehi, Mohammad Kamali, Ali-Mohammad Sleep Vigil Original Article STUDY OBJECTIVES: To address sleep micro–macro-structures in psychophysiological insomnia (PPI) as denoted by cyclic alternating pattern (CAP), Sleep spindles, and hyperarousal as microstructures and sleep characteristics such as sleep stages’ variables, and heart rate as macrostructures. METHODS: Two statistical populations, with 20 participants in each, are addressed: good sleepers (GS) and patients with psychophysiological insomnia (PPI). The sleep polysomnography (PSG) for one night was performed and sleep macro–micro-structures extraction was implemented for each participant. Cyclic alternating patterns were scored manually and other structures were monitored by the original PSG’s device software. Analytical methods are used to dissect the results. RESULT: The findings imply: (a) psychophysiological insomnia is characterized by CAP differences from good sleepers which are associated with hyperarousal; (b) Regarding microstructure, more microarousals in sleep stages caused more number of wake index. (c) The ratio of sleep stages, sleep latency and heart rate as sleep macrostructure are significantly changed. (d) There is no significant difference between PPI and GS groups on spindles length in our research. CONCLUSION: Regarding all sleep disorders and especially PPI, CAP variables, EEG arousals, and sleep spindles as microstructures and Total Sleep Time, Sleep Latency, number of waking, REM duration, and Heart Rate as macrostructures were found to be critical for the diagnosis of psychophysiological insomnia The analysis contributes to understanding better approaches in the quantitative specification of psychophysiological insomnia compare to good sleepers. Springer Nature Singapore 2023-04-16 /pmc/articles/PMC10106013/ /pubmed/37361911 http://dx.doi.org/10.1007/s41782-023-00228-5 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Ghermezian, Ali Nami, Mohammad Shalbaf, Reza Khosrowabadi, Reza Nasehi, Mohammad Kamali, Ali-Mohammad Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study |
title | Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study |
title_full | Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study |
title_fullStr | Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study |
title_full_unstemmed | Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study |
title_short | Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study |
title_sort | sleep micro–macro-structures in psychophysiological insomnia. psg study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106013/ https://www.ncbi.nlm.nih.gov/pubmed/37361911 http://dx.doi.org/10.1007/s41782-023-00228-5 |
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