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Post published on Bluesky on 20 Jan 2024 12:45

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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.

Publication date
12 Jan 2024
Identifier
10.1111/bjop.12693
Authors
Friederike Elisabeth Hedley, Emmett Larsen, Aprajita Mohanty, Jeremiah Zhe Liu, Jingwen Jin
Source
British Journal of Psychology
Details
117(3), 795-808
Reference type
article
Publisher
Wiley
Metadata source
crossref

Abstract

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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