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Cited by 227

The DOI matches its Crossref record.

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

·1978·American Journal of Psychiatry

Abstract

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.

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Metadata

Venue
American Journal of Psychiatry
Published
1978-01-01
Volume
135
Issue
1
Pages
69-74
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2340560969
Cited by
227
References
0
FWCI
16.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The application of EEG sleep for the differential diagnosis of affective disorders. https://app.cochat.ai/papers/10.1176/ajp.135.1.69
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The application of EEG sleep for the differential diagnosis of affective disorders. (1978). American Journal of Psychiatry. https://doi.org/10.1176/ajp.135.1.69

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.