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风险决策的计算标记物可预测酒精复发。

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

作者信息

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

机构信息

Department of Addiction Medicine, Shandong Mental Health Center, Jinan, 250014, China.

Brain and Cognitive Neuroscience Research Center, Liaoning Normal University, Dalian, 116029, China.

出版信息

Eur Arch Psychiatry Clin Neurosci. 2024 Mar;274(2):353-362. doi: 10.1007/s00406-023-01602-0. Epub 2023 May 6.

DOI:10.1007/s00406-023-01602-0
PMID:37148307
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.

摘要

背景

复发仍然是酒精使用障碍(AUD)治疗中的主要挑战。异常决策已被发现是复发背后的重要认知机制,但与复发易感性相关的因素尚不清楚。在此,我们旨在通过研究AUD患者的风险决策来识别复发易感性的潜在计算标志物。

方法

本研究招募了46名健康对照者和52名AUD患者。使用气球模拟风险任务(BART)对这些受试者的冒险倾向进行了调查。在完成临床治疗后,对所有AUD患者进行随访,并根据他们的饮酒状况分为非复发AUD组和复发AUD组。

结果

健康对照者、非复发AUD组和复发AUD组之间的冒险倾向存在显著差异,并且与AUD患者的戒酒持续时间呈负相关。逻辑回归模型显示,通过计算模型测量的冒险倾向是酒精复发的有效预测指标,冒险倾向越高,饮酒复发的风险越大。

结论

我们的研究为冒险测量提供了新的见解,并识别出计算标志物,这些标志物可为AUD患者饮酒复发提供前瞻性信息。

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