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...
Gespeichert in:
Veröffentlicht in: | Scientific reports 2017-01, Vol.7 (1), p.41698-41698, Article 41698 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 41698 |
---|---|
container_issue | 1 |
container_start_page | 41698 |
container_title | Scientific reports |
container_volume | 7 |
creator | Bastianini, Stefano Alvente, Sara Berteotti, Chiara Lo Martire, Viviana Silvani, Alessandro Swoap, Steven J. Valli, Alice Zoccoli, Giovanna Cohen, Gary |
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. |
doi_str_mv | 10.1038/srep41698 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5282481</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1863221971</sourcerecordid><originalsourceid>FETCH-LOGICAL-c504t-847838c6890913b8112a90127a8acb60a4ff3986b2b3173db8a020270c8ab6b83</originalsourceid><addsrcrecordid>eNplkV1L5DAYhYOsqIxe-AeksDe7QjVfbZKbBRG_QPBGr0OSSadx26Qm7Szz780wOoxrbhI4Dyfvew4ApwheIEj4ZYp2oKgWfA8cYUirEhOMf-y8D8FJSq8wnwoLisQBOMQcEcFYfQSaK2OmqEZbzF0y0fXOq9EFX4SmGFtb_FN_bZk6a4cijRlLa6F3xhZTcn5R-OBL55cquWWG29DZUof5qhg6O7ar1IdFVEO7Ogb7jeqSPfm4Z-Dl9ub5-r58fLp7uL56LE0F6VhyyjjhpuYCCkQ0RwgrARFmiiuja6ho0xDBa401QYzMNVcQQ8yg4UrXmpMZ-LPxHSbd27mxfoyqk0NeTMWVDMrJr4p3rVyEpawwxzSnMgO_PgxieJtsGmWfc7Fdp7wNU5KI1zlSJNga_fkf-hqm6PN6mRKiopgylqnfG8rEkHJXzXYYBOW6QLktMLNnu9Nvyc-6MnC-AVKW_MLGnS-_ub0DbySl2w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1899542477</pqid></control><display><type>article</type><title>Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography</title><source>Nature Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Springer Nature OA/Free Journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Bastianini, Stefano ; Alvente, Sara ; Berteotti, Chiara ; Lo Martire, Viviana ; Silvani, Alessandro ; Swoap, Steven J. ; Valli, Alice ; Zoccoli, Giovanna ; Cohen, Gary</creator><creatorcontrib>Bastianini, Stefano ; Alvente, Sara ; Berteotti, Chiara ; Lo Martire, Viviana ; Silvani, Alessandro ; Swoap, Steven J. ; Valli, Alice ; Zoccoli, Giovanna ; Cohen, Gary</creatorcontrib><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.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep41698</identifier><identifier>PMID: 28139776</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/1647/2198 ; 631/378/1385/519 ; 9/10 ; Animal models ; Blood pressure ; Discrimination ; EEG ; Electroencephalography ; Electromyography ; Humanities and Social Sciences ; multidisciplinary ; Respiration ; Science ; Science (multidisciplinary) ; Sleep ; Sleep and wakefulness ; Visual discrimination</subject><ispartof>Scientific reports, 2017-01, Vol.7 (1), p.41698-41698, Article 41698</ispartof><rights>The Author(s) 2017</rights><rights>Copyright Nature Publishing Group Jan 2017</rights><rights>Copyright © 2017, The Author(s) 2017 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-847838c6890913b8112a90127a8acb60a4ff3986b2b3173db8a020270c8ab6b83</citedby><cites>FETCH-LOGICAL-c504t-847838c6890913b8112a90127a8acb60a4ff3986b2b3173db8a020270c8ab6b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282481/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282481/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28139776$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bastianini, Stefano</creatorcontrib><creatorcontrib>Alvente, Sara</creatorcontrib><creatorcontrib>Berteotti, Chiara</creatorcontrib><creatorcontrib>Lo Martire, Viviana</creatorcontrib><creatorcontrib>Silvani, Alessandro</creatorcontrib><creatorcontrib>Swoap, Steven J.</creatorcontrib><creatorcontrib>Valli, Alice</creatorcontrib><creatorcontrib>Zoccoli, Giovanna</creatorcontrib><creatorcontrib>Cohen, Gary</creatorcontrib><title>Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><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.</description><subject>631/1647/2198</subject><subject>631/378/1385/519</subject><subject>9/10</subject><subject>Animal models</subject><subject>Blood pressure</subject><subject>Discrimination</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Electromyography</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Respiration</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sleep</subject><subject>Sleep and wakefulness</subject><subject>Visual discrimination</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNplkV1L5DAYhYOsqIxe-AeksDe7QjVfbZKbBRG_QPBGr0OSSadx26Qm7Szz780wOoxrbhI4Dyfvew4ApwheIEj4ZYp2oKgWfA8cYUirEhOMf-y8D8FJSq8wnwoLisQBOMQcEcFYfQSaK2OmqEZbzF0y0fXOq9EFX4SmGFtb_FN_bZk6a4cijRlLa6F3xhZTcn5R-OBL55cquWWG29DZUof5qhg6O7ar1IdFVEO7Ogb7jeqSPfm4Z-Dl9ub5-r58fLp7uL56LE0F6VhyyjjhpuYCCkQ0RwgrARFmiiuja6ho0xDBa401QYzMNVcQQ8yg4UrXmpMZ-LPxHSbd27mxfoyqk0NeTMWVDMrJr4p3rVyEpawwxzSnMgO_PgxieJtsGmWfc7Fdp7wNU5KI1zlSJNga_fkf-hqm6PN6mRKiopgylqnfG8rEkHJXzXYYBOW6QLktMLNnu9Nvyc-6MnC-AVKW_MLGnS-_ub0DbySl2w</recordid><startdate>20170131</startdate><enddate>20170131</enddate><creator>Bastianini, Stefano</creator><creator>Alvente, Sara</creator><creator>Berteotti, Chiara</creator><creator>Lo Martire, Viviana</creator><creator>Silvani, Alessandro</creator><creator>Swoap, Steven J.</creator><creator>Valli, Alice</creator><creator>Zoccoli, Giovanna</creator><creator>Cohen, Gary</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170131</creationdate><title>Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography</title><author>Bastianini, Stefano ; Alvente, Sara ; Berteotti, Chiara ; Lo Martire, Viviana ; Silvani, Alessandro ; Swoap, Steven J. ; Valli, Alice ; Zoccoli, Giovanna ; Cohen, Gary</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-847838c6890913b8112a90127a8acb60a4ff3986b2b3173db8a020270c8ab6b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>631/1647/2198</topic><topic>631/378/1385/519</topic><topic>9/10</topic><topic>Animal models</topic><topic>Blood pressure</topic><topic>Discrimination</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Electromyography</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Respiration</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Sleep</topic><topic>Sleep and wakefulness</topic><topic>Visual discrimination</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bastianini, Stefano</creatorcontrib><creatorcontrib>Alvente, Sara</creatorcontrib><creatorcontrib>Berteotti, Chiara</creatorcontrib><creatorcontrib>Lo Martire, Viviana</creatorcontrib><creatorcontrib>Silvani, Alessandro</creatorcontrib><creatorcontrib>Swoap, Steven J.</creatorcontrib><creatorcontrib>Valli, Alice</creatorcontrib><creatorcontrib>Zoccoli, Giovanna</creatorcontrib><creatorcontrib>Cohen, Gary</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bastianini, Stefano</au><au>Alvente, Sara</au><au>Berteotti, Chiara</au><au>Lo Martire, Viviana</au><au>Silvani, Alessandro</au><au>Swoap, Steven J.</au><au>Valli, Alice</au><au>Zoccoli, Giovanna</au><au>Cohen, Gary</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2017-01-31</date><risdate>2017</risdate><volume>7</volume><issue>1</issue><spage>41698</spage><epage>41698</epage><pages>41698-41698</pages><artnum>41698</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>28139776</pmid><doi>10.1038/srep41698</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2045-2322 |
ispartof | Scientific reports, 2017-01, Vol.7 (1), p.41698-41698, Article 41698 |
issn | 2045-2322 2045-2322 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5282481 |
source | Nature Open Access; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection; Springer Nature OA/Free Journals; Free Full-Text Journals in Chemistry |
subjects | 631/1647/2198 631/378/1385/519 9/10 Animal models Blood pressure Discrimination EEG Electroencephalography Electromyography Humanities and Social Sciences multidisciplinary Respiration Science Science (multidisciplinary) Sleep Sleep and wakefulness Visual discrimination |
title | Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T22%3A40%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accurate%20discrimination%20of%20the%20wake-sleep%20states%20of%20mice%20using%20non-invasive%20whole-body%20plethysmography&rft.jtitle=Scientific%20reports&rft.au=Bastianini,%20Stefano&rft.date=2017-01-31&rft.volume=7&rft.issue=1&rft.spage=41698&rft.epage=41698&rft.pages=41698-41698&rft.artnum=41698&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/srep41698&rft_dat=%3Cproquest_pubme%3E1863221971%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1899542477&rft_id=info:pmid/28139776&rfr_iscdi=true |