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Published August 21, 2020 | Supplemental Material + Submitted + Published
Journal Article Open

Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample

Abstract

Symptom expression in psychiatric conditions is often linked to altered threat perception, however how computational mechanisms that support aversive learning relate to specific psychiatric symptoms remains undetermined. We answer this question using an online game-based aversive learning task together with measures of common psychiatric symptoms in 400 subjects. We show that physiological symptoms of anxiety and a transdiagnostic compulsivity-related factor are associated with enhanced safety learning, as measured using a probabilistic computational model, while trait cognitive anxiety symptoms are associated with enhanced learning from danger. We use data-driven partial least squares regression to identify two separable components across behavioural and questionnaire data: one linking enhanced safety learning and lower estimated uncertainty to physiological anxiety, compulsivity, and impulsivity; the other linking enhanced threat learning and heightened uncertainty estimation to symptoms of depression and social anxiety. Our findings implicate aversive learning processes in the expression of psychiatric symptoms that transcend diagnostic boundaries.

Additional Information

© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Received 29 April 2020; Accepted 13 July 2020; Published 21 August 2020. T.W. is supported by a Wellcome Trust Sir Henry Wellcome Fellowship (206460/17/Z). R.J.D. holds a Wellcome Trust Investigator award (098362/Z/12/Z). The Max Planck UCL Centre is a joint initiative supported by UCL and the Max Planck Society. The Wellcome Centre for Human Neuroimaging is supported by core funding from the Wellcome Trust (203147/Z/16/Z). We thank Evan Russek for comments on an earlier version of this manuscript. Data availability: All raw data supporting the findings of this study are available through the Open Science Framework at https://osf.io/b95w2/ with the DOI https://doi.org/10.17605/OSF.IO/B95W2. A reporting summary for this article is available as a Supplementary Information File. Source data are provided with this paper. Code availability: Code is available at https://github.com/tobywise/online-aversive-learning. The task was programmed in Javascript using Phaser 3. Analysis was performed in Python 2.7 using PyMC3 (version 3.5), Sciki-Learn (version 0.30) and Bambi (version 0.1.5). Source data are provided with this paper. Author Contributions: T.W. and R.J.D. designed the study. T.W. collected and analysed the data. T.W. and R.J.D. wrote the paper. The authors declare no competing interests.

Attached Files

Published - s41467-020-17977-w.pdf

Submitted - 843045v2.full.pdf

Supplemental Material - 41467_2020_17977_MOESM1_ESM.pdf

Supplemental Material - 41467_2020_17977_MOESM2_ESM.pdf

Supplemental Material - 41467_2020_17977_MOESM3_ESM.pdf

Supplemental Material - 41467_2020_17977_MOESM4_ESM.xlsx

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Additional details

Created:
August 19, 2023
Modified:
October 20, 2023