Linked Life Data

12865166

Source:http://linkedlifedata.com/resource/pubmed/id/12865166

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2003-7-16
pubmed:abstractText
In mice, genetic differences between inbred strains have been shown for several parameters of sleep and circadian activity rhythms. Our previous studies have demonstrated that CS mice have three remarkable characteristics in the circadian rhythm of locomotor activity: (1) high activity both during the day and night, (2) unstable freerunning period and (3) spontaneous rhythm splitting. In order to characterize sleep properties of CS mice, we compared circadian sleep patterns of CS with those of C57BL/6J and C3H/He mice which have normal circadian activity rhythms. Although C57BL/6J and C3H/He mice exhibited clear daily sleep-wake rhythms in the amount of each sleep parameter (Awake, SWS, PS), CS mice did not show clear rhythms in these parameters. The differences were particularly conspicuous in PS; no apparent day-night differences in the amount of PS, PS counts and PS interval (the interval between successive PS episodes) in CS mice. In addition, the ratio of PS to total sleep time was significantly larger in CS mice than other strains. Of these parameters, the most considerable was PS latency which was extremely short and direct transition from Awake to PS without appearance of SWS frequently occurred in these mice. These results indicate that CS mice may be useful for the understanding of sleep mechanisms and its dysfunction.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0006-8993
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
980
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
121-7
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Sleep properties of CS mice with spontaneous rhythm splitting in constant darkness.
pubmed:affiliation
Division of Biomodeling, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Naogya464-8601, Japan. ebihara@agr.nagoya-u.ac.jp
pubmed:publicationType
Journal Article, Comparative Study