Artikel ; Online: A systematic review of performance-based assessment studies on cognitive biases in schizophrenia spectrum psychoses and clinical high-risk states: A summary of 40 years of research.
2024 Band 108, Seite(n) 102391
Abstract: Cognitive models of psychosis have stimulated empirical studies on cognitive biases involved in schizophrenia spectrum psychoses and their symptoms. This systematic review aimed to summarize the studies on the role of cognitive biases as assessed in ... ...
Abstract | Cognitive models of psychosis have stimulated empirical studies on cognitive biases involved in schizophrenia spectrum psychoses and their symptoms. This systematic review aimed to summarize the studies on the role of cognitive biases as assessed in different performance-based tasks in schizophrenia spectrum psychoses and clinical high-risk states. We focused on five cognitive biases linked to psychosis, i.e., aberrant salience, attentional biases, source monitoring biases, jumping to conclusions, and bias against disconfirmatory evidence. We identified N = 324 studies published in N = 308 articles fulfilling inclusion criteria. Most studies have been cross-sectional and confirmed that the schizophrenia spectrum psychoses are related to exaggerated cognitive biases compared to healthy controls. On the contrary, less evidence suggests a higher tendency for cognitive biases in the UHR sample. The only exceptions were source monitoring and jumping to conclusions, which were confirmed to be exaggerated in both clinical groups. Hallucinations and delusions were the most frequent symptoms studied in the context of cognitive biases. Based on the findings, we presented a hypothetical model on the role of interactions between cognitive biases or additive effects of biases in shaping the risk of psychosis. Future research is warranted for further development of cognitive models for psychosis. |
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Mesh-Begriff(e) | Humans ; Schizophrenia ; Cross-Sectional Studies ; Psychotic Disorders/psychology ; Cognition ; Bias |
Sprache | Englisch |
Erscheinungsdatum | 2024-01-14 |
Erscheinungsland | United States |
Dokumenttyp | Systematic Review ; Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 604577-7 |
ISSN | 1873-7811 ; 0272-7358 |
ISSN (online) | 1873-7811 |
ISSN | 0272-7358 |
DOI | 10.1016/j.cpr.2024.102391 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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