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European Archives of Psychiatry and Clinical Neuroscience

Erschienen in:

06.05.2023 | Original Paper

Computational markers of risky decision-making predict for relapse to alcohol

verfasst von: Wei Yuan, Meng Chen, Duan-Wei Wang, Qian-Hui Li, Yuan-Yuan Yin, Bin Li, Hai-Rong Wang, Ji Hu, Yuan-Dong Gong, Ti-Fei Yuan, Tian-Gui Yu

Erschienen in: European Archives of Psychiatry and Clinical Neuroscience | Ausgabe 2/2024

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Abstract

Background

Relapse remains the major challenge in treatment of alcohol use disorder (AUD). Aberrant decision-making has been found as important cognitive mechanism underlying relapse, but factors associated with relapse vulnerability are unclear. Here, we aim to identify potential computational markers of relapse vulnerability by investigating risky decision-making in individuals with AUD.

Methods

Forty-six healthy controls and fifty-two individuals with AUD were recruited for this study. The risk-taking propensity of these subjects was investigated using the balloon analog risk task (BART). After completion of clinical treatment, all individuals with AUD were followed up and divided into a non-relapse AUD group and a relapse AUD group according to their drinking status.

Results

The risk-taking propensity differed significantly among healthy controls, the non-relapse AUD group, and the relapse AUD group, and was negatively associated with the duration of abstinence in individuals with AUD. Logistic regression models showed that risk-taking propensity, as measured by the computational model, was a valid predictor of alcohol relapse, and higher risk-taking propensity was associated with greater risk of relapse to drink.

Conclusion

Our study presents new insights into risk-taking measurement and identifies computational markers that provide prospective information for relapse to drink in individuals with AUD.

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Titel: Computational markers of risky decision-making predict for relapse to alcohol
verfasst von: Wei Yuan
Meng Chen
Duan-Wei Wang
Qian-Hui Li
Yuan-Yuan Yin
Bin Li
Hai-Rong Wang
Ji Hu
Yuan-Dong Gong
Ti-Fei Yuan
Tian-Gui Yu
Publikationsdatum: 06.05.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: European Archives of Psychiatry and Clinical Neuroscience / Ausgabe 2/2024
Print ISSN: 0940-1334
Elektronische ISSN: 1433-8491
DOI: https://doi.org/10.1007/s00406-023-01602-0

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Computational markers of risky decision-making predict for relapse to alcohol