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Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography
A major limitation in the study of sleep breathing disorders in mouse models of pathology is the need to combine whole-body plethysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to discriminate wake-sleep states. However, murine wake-sleep states may be...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282481/ https://www.ncbi.nlm.nih.gov/pubmed/28139776 http://dx.doi.org/10.1038/srep41698 |
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author | Bastianini, Stefano Alvente, Sara Berteotti, Chiara Lo Martire, Viviana Silvani, Alessandro Swoap, Steven J. Valli, Alice Zoccoli, Giovanna Cohen, Gary |
author_facet | Bastianini, Stefano Alvente, Sara Berteotti, Chiara Lo Martire, Viviana Silvani, Alessandro Swoap, Steven J. Valli, Alice Zoccoli, Giovanna Cohen, Gary |
author_sort | Bastianini, Stefano |
collection | PubMed |
description | A major limitation in the study of sleep breathing disorders in mouse models of pathology is the need to combine whole-body plethysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to discriminate wake-sleep states. However, murine wake-sleep states may be discriminated from breathing and body movements registered by the WBP signal alone. Our goal was to compare the EEG/EMG-based and the WBP-based scoring of wake-sleep states of mice, and provide formal guidelines for the latter. EEG, EMG, blood pressure and WBP signals were simultaneously recorded from 20 mice. Wake-sleep states were scored based either on EEG/EMG or on WBP signals and sleep-dependent respiratory and cardiovascular estimates were calculated. We found that the overall agreement between the 2 methods was 90%, with a high Cohen’s Kappa index (0.82). The inter-rater agreement between 2 experts and between 1 expert and 1 naïve sleep investigators gave similar results. Sleep-dependent respiratory and cardiovascular estimates did not depend on the scoring method. We show that non-invasive discrimination of the wake-sleep states of mice based on visual inspection of the WBP signal is accurate, reliable and reproducible. This work may set the stage for non-invasive high-throughput experiments evaluating sleep and breathing patterns on mouse models of pathophysiology. |
format | Online Article Text |
id | pubmed-5282481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52824812017-02-03 Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography Bastianini, Stefano Alvente, Sara Berteotti, Chiara Lo Martire, Viviana Silvani, Alessandro Swoap, Steven J. Valli, Alice Zoccoli, Giovanna Cohen, Gary Sci Rep Article A major limitation in the study of sleep breathing disorders in mouse models of pathology is the need to combine whole-body plethysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to discriminate wake-sleep states. However, murine wake-sleep states may be discriminated from breathing and body movements registered by the WBP signal alone. Our goal was to compare the EEG/EMG-based and the WBP-based scoring of wake-sleep states of mice, and provide formal guidelines for the latter. EEG, EMG, blood pressure and WBP signals were simultaneously recorded from 20 mice. Wake-sleep states were scored based either on EEG/EMG or on WBP signals and sleep-dependent respiratory and cardiovascular estimates were calculated. We found that the overall agreement between the 2 methods was 90%, with a high Cohen’s Kappa index (0.82). The inter-rater agreement between 2 experts and between 1 expert and 1 naïve sleep investigators gave similar results. Sleep-dependent respiratory and cardiovascular estimates did not depend on the scoring method. We show that non-invasive discrimination of the wake-sleep states of mice based on visual inspection of the WBP signal is accurate, reliable and reproducible. This work may set the stage for non-invasive high-throughput experiments evaluating sleep and breathing patterns on mouse models of pathophysiology. Nature Publishing Group 2017-01-31 /pmc/articles/PMC5282481/ /pubmed/28139776 http://dx.doi.org/10.1038/srep41698 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Bastianini, Stefano Alvente, Sara Berteotti, Chiara Lo Martire, Viviana Silvani, Alessandro Swoap, Steven J. Valli, Alice Zoccoli, Giovanna Cohen, Gary Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
title | Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
title_full | Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
title_fullStr | Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
title_full_unstemmed | Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
title_short | Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
title_sort | accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282481/ https://www.ncbi.nlm.nih.gov/pubmed/28139776 http://dx.doi.org/10.1038/srep41698 |
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