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Billet publié sur Bluesky le 20/01/2024 12:45

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Publication avec DOI Récupéré Publication crossref

Friederike Elisabeth Hedley, Emmett Larsen, Aprajita Mohanty, Jeremiah Zhe Liu, Jingwen Jin (2026). Understanding anxiety through uncertainty quantification. British Journal of Psychology, 117(3), 795-808. Wiley.

Date de publication
12/01/2024
Identifiant
10.1111/bjop.12693
Auteurs
Friederike Elisabeth Hedley, Emmett Larsen, Aprajita Mohanty, Jeremiah Zhe Liu, Jingwen Jin
Source
British Journal of Psychology
Détails
117(3), 795-808
Type de référence
article
Éditeur
Wiley
Source de métadonnées
crossref

Résumé

Abstract Uncertainty has been a central concept in psychological theories of anxiety. However, this concept has been plagued by divergent connotations and operationalizations. The lack of consensus hinders the current search for cognitive and biological mechanisms of anxiety, jeopardizes theory creation and comparison, and restrains translation of basic research into improved diagnoses and interventions. Drawing upon uncertainty decomposition in Bayesian Decision Theory, we propose a well‐defined conceptual structure of uncertainty in cognitive and clinical sciences, with a focus on anxiety. We discuss how this conceptual structure provides clarity and can be naturally applied to existing frameworks of psychopathology research. Furthermore, it allows formal quantification of various types of uncertainty that can benefit both research and clinical practice in the era of computational psychiatry.

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