24-h polysomnographic recordings and electrophysiological spectral analyses from a cohort of patients with chronic disorders of consciousness
Fourteen patients with severe brain injuries and chronic disorders of consciousness underwent polysomnographic recordings for a 24-h period. Their electrophysiological data were scored using a modified sleep staging system employed in a previous study of similar patients (J Head Trauma Rehabil 30:33...
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Veröffentlicht in: | Journal of neurology 2020-12, Vol.267 (12), p.3650-3663 |
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description | Fourteen patients with severe brain injuries and chronic disorders of consciousness underwent polysomnographic recordings for a 24-h period. Their electrophysiological data were scored using a modified sleep staging system employed in a previous study of similar patients (J Head Trauma Rehabil 30:334–346, 2015). In addition to sleep scoring, the patients’ data were compared with a sample of approximately age-matched healthy volunteers in the spectral domain. All patients demonstrated some form of a sleep–wake cycle; however, the integrity of normal sleep features was remarkably heterogenous across individuals, and in some cases, sleep was significantly impoverished. In three patients, these cycles were biphasic and comprised of only alternating periods of wakefulness and sleep-like electrophysiological activity. Two patients demonstrated a sleep–wake cycle that included all sleep stages aside from non-REM stage 3, and another two patients demonstrated a sleep–wake cycle that included all sleep stages aside from REM sleep. The remaining seven patients, which included patients diagnosed as being in a minimally conscious state and patients diagnosed as being in a vegetative state (unresponsive wakefulness syndrome), demonstrated full sleep architecture, including
k
-complexes, REMs, and slow wave sleep. However, three of the patients with full sleep architecture did not generate sleep spindles. Altogether, these findings highlight the heterogeneity of brain function among patients with disorders of consciousness, regardless of their diagnostic category. Polysomnography is a useful tool to complement other behavioural and physiological assessments that characterize the abilities of each patient. |
doi_str_mv | 10.1007/s00415-020-10076-2 |
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k
-complexes, REMs, and slow wave sleep. However, three of the patients with full sleep architecture did not generate sleep spindles. Altogether, these findings highlight the heterogeneity of brain function among patients with disorders of consciousness, regardless of their diagnostic category. Polysomnography is a useful tool to complement other behavioural and physiological assessments that characterize the abilities of each patient.</description><identifier>ISSN: 0340-5354</identifier><identifier>EISSN: 1432-1459</identifier><identifier>DOI: 10.1007/s00415-020-10076-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Activity patterns ; Brain injury ; Consciousness ; Medicine ; Medicine & Public Health ; Neurology ; Neuroradiology ; Neurosciences ; NREM sleep ; Original Communication ; REM sleep ; Sleep ; Sleep and wakefulness ; Unconsciousness</subject><ispartof>Journal of neurology, 2020-12, Vol.267 (12), p.3650-3663</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-e103d320eab5413316fb64b70772bd3d72b6394ea0f4b878212ae735d752e4c13</citedby><cites>FETCH-LOGICAL-c396t-e103d320eab5413316fb64b70772bd3d72b6394ea0f4b878212ae735d752e4c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00415-020-10076-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00415-020-10076-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Gibson, Raechelle M.</creatorcontrib><creatorcontrib>Ray, Laura B.</creatorcontrib><creatorcontrib>Laforge, Geoffrey</creatorcontrib><creatorcontrib>Owen, Adrian M.</creatorcontrib><creatorcontrib>Fogel, Stuart M.</creatorcontrib><title>24-h polysomnographic recordings and electrophysiological spectral analyses from a cohort of patients with chronic disorders of consciousness</title><title>Journal of neurology</title><addtitle>J Neurol</addtitle><description>Fourteen patients with severe brain injuries and chronic disorders of consciousness underwent polysomnographic recordings for a 24-h period. Their electrophysiological data were scored using a modified sleep staging system employed in a previous study of similar patients (J Head Trauma Rehabil 30:334–346, 2015). In addition to sleep scoring, the patients’ data were compared with a sample of approximately age-matched healthy volunteers in the spectral domain. All patients demonstrated some form of a sleep–wake cycle; however, the integrity of normal sleep features was remarkably heterogenous across individuals, and in some cases, sleep was significantly impoverished. In three patients, these cycles were biphasic and comprised of only alternating periods of wakefulness and sleep-like electrophysiological activity. Two patients demonstrated a sleep–wake cycle that included all sleep stages aside from non-REM stage 3, and another two patients demonstrated a sleep–wake cycle that included all sleep stages aside from REM sleep. The remaining seven patients, which included patients diagnosed as being in a minimally conscious state and patients diagnosed as being in a vegetative state (unresponsive wakefulness syndrome), demonstrated full sleep architecture, including
k
-complexes, REMs, and slow wave sleep. However, three of the patients with full sleep architecture did not generate sleep spindles. Altogether, these findings highlight the heterogeneity of brain function among patients with disorders of consciousness, regardless of their diagnostic category. Polysomnography is a useful tool to complement other behavioural and physiological assessments that characterize the abilities of each patient.</description><subject>Activity patterns</subject><subject>Brain injury</subject><subject>Consciousness</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>NREM sleep</subject><subject>Original Communication</subject><subject>REM sleep</subject><subject>Sleep</subject><subject>Sleep and wakefulness</subject><subject>Unconsciousness</subject><issn>0340-5354</issn><issn>1432-1459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kc9q3DAQxkVpodu0L9CToJdc1OifLftYQpoUArm0ZyPL47WCV-NqvIR9iLxz5W4g0EMvGs3o932M-Bj7rORXJaW7IimtqoTUUmx9LfQbtlPWaKFs1b5lO2msFJWp7Hv2gehRStmUhx171lZMfMH5RHhIuM9-mWLgGQLmIaY9cZ8GDjOENeMynSjijPsY_Mxp2Ybl4pMvciA-ZjxwzwNOmFeOI1_8GiGtxJ_iOvEwZUzFfIhUzCHThgRMFCIeKQHRR_Zu9DPBp5d6wX59v_l5fSfuH25_XH-7F8G09SpASTMYLcH3lVXGqHrsa9s76ZzuBzOUszatBS9H2zeu0Up7cKYaXKXBBmUu2OXZd8n4-wi0dodIAebZJyirdNpqa23dOF3QL_-gj3jM5ceFaozTqm51Wyh9pkJGogxjt-R48PnUKdltiXTnhLqS0N--7jZrcxZRgdMe8qv1f1R_AO9llhs</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Gibson, Raechelle M.</creator><creator>Ray, Laura B.</creator><creator>Laforge, Geoffrey</creator><creator>Owen, Adrian M.</creator><creator>Fogel, Stuart M.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20201201</creationdate><title>24-h polysomnographic recordings and electrophysiological spectral analyses from a cohort of patients with chronic disorders of consciousness</title><author>Gibson, Raechelle M. ; Ray, Laura B. ; Laforge, Geoffrey ; Owen, Adrian M. ; Fogel, Stuart M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-e103d320eab5413316fb64b70772bd3d72b6394ea0f4b878212ae735d752e4c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Activity patterns</topic><topic>Brain injury</topic><topic>Consciousness</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>NREM sleep</topic><topic>Original Communication</topic><topic>REM sleep</topic><topic>Sleep</topic><topic>Sleep and wakefulness</topic><topic>Unconsciousness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gibson, Raechelle M.</creatorcontrib><creatorcontrib>Ray, Laura B.</creatorcontrib><creatorcontrib>Laforge, Geoffrey</creatorcontrib><creatorcontrib>Owen, Adrian M.</creatorcontrib><creatorcontrib>Fogel, Stuart M.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma 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 Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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 China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gibson, Raechelle M.</au><au>Ray, Laura B.</au><au>Laforge, Geoffrey</au><au>Owen, Adrian M.</au><au>Fogel, Stuart M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>24-h polysomnographic recordings and electrophysiological spectral analyses from a cohort of patients with chronic disorders of consciousness</atitle><jtitle>Journal of neurology</jtitle><stitle>J Neurol</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>267</volume><issue>12</issue><spage>3650</spage><epage>3663</epage><pages>3650-3663</pages><issn>0340-5354</issn><eissn>1432-1459</eissn><abstract>Fourteen patients with severe brain injuries and chronic disorders of consciousness underwent polysomnographic recordings for a 24-h period. Their electrophysiological data were scored using a modified sleep staging system employed in a previous study of similar patients (J Head Trauma Rehabil 30:334–346, 2015). In addition to sleep scoring, the patients’ data were compared with a sample of approximately age-matched healthy volunteers in the spectral domain. All patients demonstrated some form of a sleep–wake cycle; however, the integrity of normal sleep features was remarkably heterogenous across individuals, and in some cases, sleep was significantly impoverished. In three patients, these cycles were biphasic and comprised of only alternating periods of wakefulness and sleep-like electrophysiological activity. Two patients demonstrated a sleep–wake cycle that included all sleep stages aside from non-REM stage 3, and another two patients demonstrated a sleep–wake cycle that included all sleep stages aside from REM sleep. The remaining seven patients, which included patients diagnosed as being in a minimally conscious state and patients diagnosed as being in a vegetative state (unresponsive wakefulness syndrome), demonstrated full sleep architecture, including
k
-complexes, REMs, and slow wave sleep. However, three of the patients with full sleep architecture did not generate sleep spindles. Altogether, these findings highlight the heterogeneity of brain function among patients with disorders of consciousness, regardless of their diagnostic category. Polysomnography is a useful tool to complement other behavioural and physiological assessments that characterize the abilities of each patient.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00415-020-10076-2</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Activity patterns Brain injury Consciousness Medicine Medicine & Public Health Neurology Neuroradiology Neurosciences NREM sleep Original Communication REM sleep Sleep Sleep and wakefulness Unconsciousness |
title | 24-h polysomnographic recordings and electrophysiological spectral analyses from a cohort of patients with chronic disorders of consciousness |
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