Linked Life Data

6830928

Source:http://linkedlifedata.com/resource/pubmed/id/6830928

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1983-5-27
pubmed:abstractText
Dysregulation of sleep-wake function is an important problem in both normal aging and in the two most common neuropsychiatric disorders of old age, depression and primary degenerative dementia. Since considerable overlap of symptoms in depression and dementing disorders (e.g., sleep disturbance, dysphoria, and cognitive impairment) often results in patients with a "mixed" syndrome, the development of specific, objective indicators as diagnostic markers, using electroencephalographic sleep patterns, was undertaken. Patients with dementia showed significantly less sleep continuity disturbance than patients with depression, less rapid eye movement activity, a different temporal distribution of REM density, and a longer REM latency. A discriminant function analysis using three variables (REM latency, REM density, and scaled sleep maintenance) correctly identified eight of nine depressives and six of nine dementing patients (78%) (k = 0.56, p = 0.008). These differences in REM sleep timing and density may be related to several factors: (i) defects in acetylcholine production in dementia; (ii) cholinergic mechanisms of REM sleep; and (iii) increased cholinergic induction of REM sleep in depression. The data suggest the utility of EEG sleep measures in the differential diagnosis of dementia and depression in the elderly.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0006-3223
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
139-55
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1983
pubmed:articleTitle
Electroencephalographic sleep, aging, and psychopathology: new data and state of the art.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.