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Cited by 819

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Auditory Working Memory and Wisconsin Card Sorting Test Performance in Schizophrenia

Gold, James M.·1997·Archives of General Psychiatry

Abstract

BACKGROUND: Impaired Wisconsin Card Sorting Test (WCST) performance has been one critical piece of evidence suggesting frontal lobe dysfunction in schizophrenia. However, the specific cognitive processes underlying impaired performance have not been identified. Impaired WCST performance in schizophrenia might in part reflect a fundamental working memory deficit. METHODS: We examined the performance of 30 normal subjects and 36 patients with schizophrenia on a neuropsychological battery including a novel measure of working memory-letter-number (LN) span. RESULTS: Patients with schizophrenia were impaired on LN span performance, which was also highly correlated with WCST performance (r = 0.74). Between-group WCST differences were eliminated when we covaried LN span. Regression analyses suggested that LN span performance predicted the WCST category achieved score, whereas measures of set shifting, verbal fluency, and attention were predictive of perseveration. CONCLUSION: Working memory may be a critical determinant of one aspect of WCST performance in schizophrenia.

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Crossref · 10.1001/archpsyc.1997.01830140071013

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Metadata

Authors
Gold, J. M.
Venue
Archives of General Psychiatry
Published
1997-02-01
Volume
54
Issue
2
Pages
159
ISSN
0003-990X (ISSN-L)
OpenAlex
W2018317330
Cited by
819
References
29
FWCI
15.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Auditory Working Memory and Wisconsin Card Sorting Test Performance in Schizophrenia. https://app.cochat.ai/papers/10.1001/archpsyc.1997.01830140071013
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Gold, J. M. (1997). Auditory Working Memory and Wisconsin Card Sorting Test Performance in Schizophrenia. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1997.01830140071013

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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.