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Cited by 321

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Neural correlates of self-induced dysphoria

·1993·American Journal of Psychiatry

Abstract

OBJECTIVE: The authors explored the question of whether acute, transient changes in mood are reflected in activation of discrete neuronal systems in the human brain. METHOD: Using positron emission tomography, they measured the regional cerebral blood flow (CBF) of seven psychiatrically healthy subjects under two conditions. During the control condition the subjects were resting with their eyes closed. During the active condition, with their eyes still closed, they were asked to imagine or recall a situation that would make them feel very sad. They were explicitly asked to experience sadness and to avoid any feelings of anger or anxiety. RESULTS: There were significant differences in regional CBF measured during the control condition and during the active condition, particularly in the inferior and orbitofrontal cortices. Women showed bilateral inferior and orbitofrontal activation, but men displayed predominantly left-sided activation in these areas. CONCLUSIONS: The authors conclude that the inferior and orbitofrontal cortices play an important role in normal emotional cognitive processes.

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Crossref · 10.1176/ajp.150.5.713

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Metadata

Venue
American Journal of Psychiatry
Published
1993-05-01
Volume
150
Issue
5
Pages
713-719
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W155613694
Cited by
321
References
33
FWCI
6.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neural correlates of self-induced dysphoria. https://app.cochat.ai/papers/10.1176/ajp.150.5.713
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Neural correlates of self-induced dysphoria. (1993). American Journal of Psychiatry. https://doi.org/10.1176/ajp.150.5.713

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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.