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Bayesian Decision-Making Under Uncertainty in Borderline Personality Disorder

Title: Bayesian Decision-Making Under Uncertainty in Borderline Personality Disorder
Authors: Manavalan, Mathi; Song, Xin; Nolte, Tobias; Fonagy, Peter; Montague, P Read; Vilares, Iris
Source: Journal of Personality Disorders , 38 (1) pp. 53-74. (2024)
Publisher Information: Guilford Press
Publication Year: 2024
Collection: University College London: UCL Discovery
Subject Terms: Bayes; borderline personality disorder; decision-making; likelihood; prior; uncertainty
Description: Bayesian decision theory suggests that optimal decision-making should use and weigh prior beliefs with current information, according to their relative uncertainties. However, some characteristics of borderline personality disorder (BPD) patients, such as fast, drastic changes in the overall perception of themselves and others, suggest they may be underrelying on priors. Here, we investigated if BPD patients have a general deficit in relying on or combining prior with current information. We analyzed this by having BPD patients (n = 23) and healthy controls (n = 18) perform a coin-catching sensorimotor task with varying levels of prior and current information uncertainty. Our results indicate that BPD patients learned and used prior information and combined it with current information in a qualitatively Bayesian-like way. Our results show that, at least in a lower-level, nonsocial sensorimotor task, BPD patients can appropriately use both prior and current information, illustrating that potential deficits using priors may not be widespread or domain-general.
Document Type: article in journal/newspaper
File Description: text
Language: English
Relation: https://discovery.ucl.ac.uk/id/eprint/10187257/3/Fonagy_Manavalan%20et%20al%20JPD%20accepted.pdf; https://discovery.ucl.ac.uk/id/eprint/10187257/
Availability: https://discovery.ucl.ac.uk/id/eprint/10187257/3/Fonagy_Manavalan%20et%20al%20JPD%20accepted.pdf; https://discovery.ucl.ac.uk/id/eprint/10187257/
Rights: open
Accession Number: edsbas.D8B1A2FE
Database: BASE