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Belief Revision and Delusions: How Do Patients with Schizophrenia Take Advice?

Overview of attention for article published in PLOS ONE, April 2012
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Title
Belief Revision and Delusions: How Do Patients with Schizophrenia Take Advice?
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034771
Pubmed ID
Authors

Mariia Kaliuzhna, Valérian Chambon, Nicolas Franck, Bérangère Testud, Jean-Baptiste Van der Henst

Abstract

The dominant cognitive model that accounts for the persistence of delusional beliefs in schizophrenia postulates that patients suffer from a general deficit in belief revision. It is generally assumed that this deficit is a consequence of impaired reasoning skills. However, the possibility that such inflexibility affects the entire system of a patient's beliefs has rarely been empirically tested. Using delusion-neutral material in a well-documented advice-taking task, the present study reports that patients with schizophrenia: 1) revise their beliefs, 2) take into account socially provided information to do so, 3) are not overconfident about their judgments, and 4) show less egocentric advice-discounting than controls. This study thus shows that delusional patients' difficulty in revising beliefs is more selective than had been previously assumed. The specificities of the task and the implications for a theory of delusion formation are discussed.

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Mendeley readers

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The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
United States 2 3%
Sweden 1 1%
France 1 1%
Spain 1 1%
Brazil 1 1%
Unknown 65 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Student > Master 14 19%
Researcher 11 15%
Student > Bachelor 9 12%
Student > Doctoral Student 3 4%
Other 14 19%
Unknown 4 5%
Readers by discipline Count As %
Psychology 31 42%
Medicine and Dentistry 11 15%
Linguistics 3 4%
Agricultural and Biological Sciences 3 4%
Computer Science 3 4%
Other 10 14%
Unknown 13 18%