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Rapid eye movements during sleep in mice: high trait-like stability qualifies rapid eye movement density for characterization of phenotypic variation in sleep patterns of rodents
In humans, rapid eye movements (REM) density during REM sleep plays a prominent role in psychiatric diseases. Especially in depression, an increased REM density is a vulnerability marker for depression. In clinical practice and research measurement of REM density is highly standardized. In basic ani...
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Published in: | BMC neuroscience 2011-11, Vol.12 (1), p.110-110, Article 110 |
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description | In humans, rapid eye movements (REM) density during REM sleep plays a prominent role in psychiatric diseases. Especially in depression, an increased REM density is a vulnerability marker for depression. In clinical practice and research measurement of REM density is highly standardized. In basic animal research, almost no tools are available to obtain and systematically evaluate eye movement data, although, this would create increased comparability between human and animal sleep studies.
We obtained standardized electroencephalographic (EEG), electromyographic (EMG) and electrooculographic (EOG) signals from freely behaving mice. EOG electrodes were bilaterally and chronically implanted with placement of the electrodes directly between the musculus rectus superior and musculus rectus lateralis. After recovery, EEG, EMG and EOG signals were obtained for four days. Subsequent to the implantation process, we developed and validated an Eye Movement scoring in Mice Algorithm (EMMA) to detect REM as singularities of the EOG signal, based on wavelet methodology.
The distribution of wakefulness, non-REM (NREM) sleep and rapid eye movement (REM) sleep was typical of nocturnal rodents with small amounts of wakefulness and large amounts of NREM sleep during the light period and reversed proportions during the dark period. REM sleep was distributed correspondingly. REM density was significantly higher during REM sleep than NREM sleep. REM bursts were detected more often at the end of the dark period than the beginning of the light period. During REM sleep REM density showed an ultradian course, and during NREM sleep REM density peaked at the beginning of the dark period. Concerning individual eye movements, REM duration was longer and amplitude was lower during REM sleep than NREM sleep. The majority of single REM and REM bursts were associated with micro-arousals during NREM sleep, but not during REM sleep.
Sleep-stage specific distributions of REM in mice correspond to human REM density during sleep. REM density, now also assessable in animal models through our approach, is increased in humans after acute stress, during PTSD and in depression. This relationship can now be exploited to match animal models more closely to clinical situations, especially in animal models of depression. |
doi_str_mv | 10.1186/1471-2202-12-110 |
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We obtained standardized electroencephalographic (EEG), electromyographic (EMG) and electrooculographic (EOG) signals from freely behaving mice. EOG electrodes were bilaterally and chronically implanted with placement of the electrodes directly between the musculus rectus superior and musculus rectus lateralis. After recovery, EEG, EMG and EOG signals were obtained for four days. Subsequent to the implantation process, we developed and validated an Eye Movement scoring in Mice Algorithm (EMMA) to detect REM as singularities of the EOG signal, based on wavelet methodology.
The distribution of wakefulness, non-REM (NREM) sleep and rapid eye movement (REM) sleep was typical of nocturnal rodents with small amounts of wakefulness and large amounts of NREM sleep during the light period and reversed proportions during the dark period. REM sleep was distributed correspondingly. REM density was significantly higher during REM sleep than NREM sleep. REM bursts were detected more often at the end of the dark period than the beginning of the light period. During REM sleep REM density showed an ultradian course, and during NREM sleep REM density peaked at the beginning of the dark period. Concerning individual eye movements, REM duration was longer and amplitude was lower during REM sleep than NREM sleep. The majority of single REM and REM bursts were associated with micro-arousals during NREM sleep, but not during REM sleep.
Sleep-stage specific distributions of REM in mice correspond to human REM density during sleep. REM density, now also assessable in animal models through our approach, is increased in humans after acute stress, during PTSD and in depression. This relationship can now be exploited to match animal models more closely to clinical situations, especially in animal models of depression.</description><identifier>ISSN: 1471-2202</identifier><identifier>EISSN: 1471-2202</identifier><identifier>DOI: 10.1186/1471-2202-12-110</identifier><identifier>PMID: 22047102</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Animal behavior ; Animals ; Antidepressants ; Data collection ; Disease Models, Animal ; Electroencephalography ; Electrooculography - methods ; Experiments ; Genetic Variation - genetics ; Humans ; Laboratory animals ; Mice ; Mice, Inbred C57BL ; Phenotype ; Physiological aspects ; Rodents ; Signal Processing, Computer-Assisted ; Sleep ; Sleep - genetics ; Sleep, REM - genetics ; Species Specificity ; Standard deviation ; Surgery ; Wakefulness - genetics</subject><ispartof>BMC neuroscience, 2011-11, Vol.12 (1), p.110-110, Article 110</ispartof><rights>COPYRIGHT 2011 BioMed Central Ltd.</rights><rights>2011 Fulda et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright ©2011 Fulda et al; licensee BioMed Central Ltd. 2011 Fulda et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b714t-acd95a84aa941f7af54cbf3e8e7ffdfc3e33cd0503f90f7f8f4ae2403936e6003</citedby><cites>FETCH-LOGICAL-b714t-acd95a84aa941f7af54cbf3e8e7ffdfc3e33cd0503f90f7f8f4ae2403936e6003</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/PMC3228710/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/907075945?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22047102$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fulda, Stephany</creatorcontrib><creatorcontrib>Romanowski, Christoph P N</creatorcontrib><creatorcontrib>Becker, Andreas</creatorcontrib><creatorcontrib>Wetter, Thomas C</creatorcontrib><creatorcontrib>Kimura, Mayumi</creatorcontrib><creatorcontrib>Fenzel, Thomas</creatorcontrib><title>Rapid eye movements during sleep in mice: high trait-like stability qualifies rapid eye movement density for characterization of phenotypic variation in sleep patterns of rodents</title><title>BMC neuroscience</title><addtitle>BMC Neurosci</addtitle><description>In humans, rapid eye movements (REM) density during REM sleep plays a prominent role in psychiatric diseases. Especially in depression, an increased REM density is a vulnerability marker for depression. In clinical practice and research measurement of REM density is highly standardized. In basic animal research, almost no tools are available to obtain and systematically evaluate eye movement data, although, this would create increased comparability between human and animal sleep studies.
We obtained standardized electroencephalographic (EEG), electromyographic (EMG) and electrooculographic (EOG) signals from freely behaving mice. EOG electrodes were bilaterally and chronically implanted with placement of the electrodes directly between the musculus rectus superior and musculus rectus lateralis. After recovery, EEG, EMG and EOG signals were obtained for four days. Subsequent to the implantation process, we developed and validated an Eye Movement scoring in Mice Algorithm (EMMA) to detect REM as singularities of the EOG signal, based on wavelet methodology.
The distribution of wakefulness, non-REM (NREM) sleep and rapid eye movement (REM) sleep was typical of nocturnal rodents with small amounts of wakefulness and large amounts of NREM sleep during the light period and reversed proportions during the dark period. REM sleep was distributed correspondingly. REM density was significantly higher during REM sleep than NREM sleep. REM bursts were detected more often at the end of the dark period than the beginning of the light period. During REM sleep REM density showed an ultradian course, and during NREM sleep REM density peaked at the beginning of the dark period. Concerning individual eye movements, REM duration was longer and amplitude was lower during REM sleep than NREM sleep. The majority of single REM and REM bursts were associated with micro-arousals during NREM sleep, but not during REM sleep.
Sleep-stage specific distributions of REM in mice correspond to human REM density during sleep. REM density, now also assessable in animal models through our approach, is increased in humans after acute stress, during PTSD and in depression. This relationship can now be exploited to match animal models more closely to clinical situations, especially in animal models of depression.</description><subject>Animal behavior</subject><subject>Animals</subject><subject>Antidepressants</subject><subject>Data collection</subject><subject>Disease Models, Animal</subject><subject>Electroencephalography</subject><subject>Electrooculography - methods</subject><subject>Experiments</subject><subject>Genetic Variation - genetics</subject><subject>Humans</subject><subject>Laboratory animals</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Phenotype</subject><subject>Physiological aspects</subject><subject>Rodents</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Sleep</subject><subject>Sleep - genetics</subject><subject>Sleep, REM - genetics</subject><subject>Species Specificity</subject><subject>Standard deviation</subject><subject>Surgery</subject><subject>Wakefulness - genetics</subject><issn>1471-2202</issn><issn>1471-2202</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1UltrFDEUHkSxtfrukwR98GlqbrMz8aFQFi-FgiD6HLKZk92sM8k0ySysP8tfaKZTl65WEkj4zne-cy2KlwSfE9Is3hFek5JSTEuSL8GPitMD9Pje_6R4FuMWY1I3nD4tTjKWTZieFr--qsG2CPaAer-DHlyKqB2DdWsUO4ABWYd6q-E92tj1BqWgbCo7-wNQTGplO5v26GZUnTUWIgr_qKEWXJxIxgekNyoonSDYnypZ75A3aNiA82k_WI12KtgZz0Hn6INKme7ixAy-ndJ7Xjwxqovw4u49K75__PBt-bm8_vLpanl5Xa5qwlOpdCsq1XClBCemVqbiemUYNFAb0xrNgDHd4gozI7CpTWO4AsoxE2wBC4zZWXE167ZebeUQbK_CXnpl5S3gw1qqkKzuQBLdCKqVMPVCcFjphpoK50hYQFXxlmeti1lrGFc9tDrXEVR3JHpscXYj134nGaVNnlQWWM4CK-v_I3Bs0b6X0_zlNH9J8r1VeXuXRvA3I8Qkexs1dJ1y4McoBa6FqJmYEn79F3Prx-ByvycSrivBq0x6M5PWKjfBOuNzaD1Jyktac8opo01mnT_AyqeFvFjegbEZP3LAs4MOPsYA5lAmwXLa-4cKe3W_vweHP4vOfgPPnQI6</recordid><startdate>20111102</startdate><enddate>20111102</enddate><creator>Fulda, Stephany</creator><creator>Romanowski, Christoph P N</creator><creator>Becker, Andreas</creator><creator>Wetter, Thomas C</creator><creator>Kimura, Mayumi</creator><creator>Fenzel, Thomas</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</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>M2M</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20111102</creationdate><title>Rapid eye movements during sleep in mice: high trait-like stability qualifies rapid eye movement density for characterization of phenotypic variation in sleep patterns of rodents</title><author>Fulda, Stephany ; 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Especially in depression, an increased REM density is a vulnerability marker for depression. In clinical practice and research measurement of REM density is highly standardized. In basic animal research, almost no tools are available to obtain and systematically evaluate eye movement data, although, this would create increased comparability between human and animal sleep studies.
We obtained standardized electroencephalographic (EEG), electromyographic (EMG) and electrooculographic (EOG) signals from freely behaving mice. EOG electrodes were bilaterally and chronically implanted with placement of the electrodes directly between the musculus rectus superior and musculus rectus lateralis. After recovery, EEG, EMG and EOG signals were obtained for four days. Subsequent to the implantation process, we developed and validated an Eye Movement scoring in Mice Algorithm (EMMA) to detect REM as singularities of the EOG signal, based on wavelet methodology.
The distribution of wakefulness, non-REM (NREM) sleep and rapid eye movement (REM) sleep was typical of nocturnal rodents with small amounts of wakefulness and large amounts of NREM sleep during the light period and reversed proportions during the dark period. REM sleep was distributed correspondingly. REM density was significantly higher during REM sleep than NREM sleep. REM bursts were detected more often at the end of the dark period than the beginning of the light period. During REM sleep REM density showed an ultradian course, and during NREM sleep REM density peaked at the beginning of the dark period. Concerning individual eye movements, REM duration was longer and amplitude was lower during REM sleep than NREM sleep. The majority of single REM and REM bursts were associated with micro-arousals during NREM sleep, but not during REM sleep.
Sleep-stage specific distributions of REM in mice correspond to human REM density during sleep. REM density, now also assessable in animal models through our approach, is increased in humans after acute stress, during PTSD and in depression. This relationship can now be exploited to match animal models more closely to clinical situations, especially in animal models of depression.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>22047102</pmid><doi>10.1186/1471-2202-12-110</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animal behavior Animals Antidepressants Data collection Disease Models, Animal Electroencephalography Electrooculography - methods Experiments Genetic Variation - genetics Humans Laboratory animals Mice Mice, Inbred C57BL Phenotype Physiological aspects Rodents Signal Processing, Computer-Assisted Sleep Sleep - genetics Sleep, REM - genetics Species Specificity Standard deviation Surgery Wakefulness - genetics |
title | Rapid eye movements during sleep in mice: high trait-like stability qualifies rapid eye movement density for characterization of phenotypic variation in sleep patterns of rodents |
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