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Cited by 442

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Converging Evidence of NMDA Receptor Hypofunction in the Pathophysiology of Schizophrenia

COYLE, JOSEPH T., TSAI, GUOCHUAN, GOFF, DONALD·2003·Annals of the New York Academy of Sciences

Abstract

A bstract: Numerous clinical studies demonstrate that subanesthetic doses of dissociative anesthetics, which are noncompetitive antagonists at the NMDA receptor, replicate in normal subjects the cognitive impairments, negative symptoms, and brain functional abnormalities of schizophrenia. Postmortem and genetic studies have identified several abnormalities associated with schizophrenia that would interfere with the activation of the glycine modulatory site on the NMDA receptor. Placebo‐controlled clinical trials with agents that directly or indirectly activate the glycine modulatory site consistently reduce negative symptoms and frequently improve cognition in patients with chronic schizophrenia who are receiving concurrent typical antipsychotics. Thus, there is convincing evidence that hypofunction of a subset of NMDA receptors may contribute to the symptomatic features of schizophrenia.

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Metadata

Authors
COYLE, J. T., TSAI, G., & GOFF, D.
Venue
Annals of the New York Academy of Sciences
Publisher
Wiley
Published
2003-11
Volume
1003
Issue
1
Pages
318-327
ISSN
  • 0077-8923 (ISSN-L)
  • 1749-6632
OpenAlex
W2017267321
Cited by
442
References
5
FWCI
9.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Converging Evidence of NMDA Receptor Hypofunction in the Pathophysiology of Schizophrenia. https://app.cochat.ai/papers/10.1196/annals.1300.020
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COYLE, J. T., TSAI, G., & GOFF, D. (2003). Converging Evidence of NMDA Receptor Hypofunction in the Pathophysiology of Schizophrenia. Annals of the New York Academy of Sciences. https://doi.org/10.1196/annals.1300.020

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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.