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Cited by 546

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Overview of Recent Research in Depression: Integration of Ten Conceptual Models Into a Comprehensive Clinical Frame

Akiskal, Hagop S.·1975·Archives of General Psychiatry

Abstract

Disciplinary fragmentation and nosological and semantic controversies have obscured the impressive advances made in the area of depressive disorders during the past decade. This article is an attempt to translate data derived from psychodynamic, sociobehavioral, and neurobiologic research into a clinically meaningful framework. We review ten models of depression with special emphasis on newer models supported by empirical and experimental studies, and present a new model, which incorporates and synthesizes findings from different schools. Depressive illness is conceptualized as the feedback interaction of three sets of variables at chemical, experiential, and behavioral levels with the diencephalon serving as the field of action.

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Crossref · 10.1001/archpsyc.1975.01760210019001

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Metadata

Authors
Akiskal, H. S.
Venue
Archives of General Psychiatry
Published
1975-03-01
Volume
32
Issue
3
Pages
285
ISSN
0003-990X (ISSN-L)
OpenAlex
W2052845364
Cited by
546
References
11
FWCI
25.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Overview of Recent Research in Depression: Integration of Ten Conceptual Models Into a Comprehensive Clinical Frame. https://app.cochat.ai/papers/10.1001/archpsyc.1975.01760210019001
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Akiskal, H. S. (1975). Overview of Recent Research in Depression: Integration of Ten Conceptual Models Into a Comprehensive Clinical Frame. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1975.01760210019001

Data sources

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.