Linked Life Data

183839

Source:http://linkedlifedata.com/resource/pubmed/id/183839

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1976-12-3
pubmed:abstractText
Previous investigations have indicated that one of the most consistent EEG sleep findings in depressive patients has been a shortened REM latency. On the basis of these studies, we have concluded that with the exception of drug withdrawal states (such as CNS depressant or amphetamine withdrawal and narcolepsy) shortened REM latency points to a strong affective component in the patient's illness. Short REM latency has also been observed in patients suffering from schizo-affective illness as well as in certain schizophrenic patients who require tricyclic antidepressants in their management. Furthermore, this psychobiologic marker is a persistent, rather than a transient phenomenon, and can be observed over a period of several weeks unless a patient's condition becomes more favorable through clinical intervention. This present report indicates that short REM latency is found in virtually all primary depressive illness and is absent in secondary depression. Thus, REM latency appears to be a dependable, measurable marker for diagnosing primary depression, and we argue that the phenomenon is independent of age, drug effect and changes in other sleep parameters. It is expected that EEG sleep and motor measurements can yield further significant data and improve differential diagnosis in psychiatry, in much the same way that laboratory data support other medical specialities.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0006-3223
pubmed:author
pubmed:issnType
Print
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
159-74
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1976
pubmed:articleTitle
REM latency: a psychobiologic marker for primary depressive disease.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.