The application of EEG sleep for the differential diagnosis of affective disorders

On the basis of two EEG sleep criteria, REM latency and REM activity, the authors achieved 81% accuracy in distinguishing between 47 patients with primary depression and 48 patients with secondary depression using discriminant analysis. Sleep efficiency, the percentage of delta sleep, and the percen...

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Bibliographic Details
Published inThe American journal of psychiatry Vol. 135; no. 1; p. 69
Main Authors Kupfer, D J, Foster, F G, Coble, P, McPartland, R J, Ulrich, R F
Format Journal Article
LanguageEnglish
Published United States 01.01.1978
Subjects
Adult
Bipolar Disorder - classification
Bipolar Disorder - diagnosis
Depression - classification
Depression - diagnosis
Diagnosis, Differential
Electroencephalography - methods
Female
Humans
Male
Middle Aged
Sleep
Sleep, REM
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Summary:On the basis of two EEG sleep criteria, REM latency and REM activity, the authors achieved 81% accuracy in distinguishing between 47 patients with primary depression and 48 patients with secondary depression using discriminant analysis. Sleep efficiency, the percentage of delta sleep, and the percentage of REM sleep discriminated between psychotic and nonpsychotic subgroups in the group with primary depression with 75% accuracy. REM activity and intermittent nocturnal awakening accurately discriminated two subtypes of patients with secondary depression at a level of 81%. These results suggest that EEG sleep measurements can yield significant data to aid in differential diagnosis in psychiatry.
ISSN:0002-953X
DOI:10.1176/ajp.135.1.69