金钱激励延迟任务中抑郁症动机行为损害的计算建模研究

A Computational Modeling Study of Motivational Impairment in Depression Using a Monetary Incentive Delay Task

目的:本研究旨在使用金钱激励延迟任务(MID)和计算行为建模方法,探索首发未服药重性抑郁障碍患者(major depressive disorder,MDD)在奖赏和惩罚条件下动机行为的心理机制。方法:55名MDD患者和37名健康对照(healthy controls,HC)进行临床量表评估和金钱激励延迟任务,运用漂移扩散模型对两组被试不同条件下的漂移率进行分析和统计检验。结果:MDD组反应时显著长于HC组。漂移扩散模型分析显示,MDD组在奖赏条件下的加工速度显著低于健康对照组,但在惩罚和中性条件下均无显著差异。结论:本研究创新性地提供了计算建模的实证依据,支持MDD患者在奖赏条件下动机行为学习损害的存在,并提示在不同效价目标下MDD动机行为的损害可能存在分离。计算行为建模的方法探索到了普通行为学难以观察到的细微差异,对临床实践转化具有重要意义。

Objective:This study aimed to investigate the psychological mechanisms underlying motivated behavior in treatment-naïve patients with major depressive disorder(MDD)under reward and punishment conditions,using the mone⁃tary incentive delay task(MID)and computational behavioral modeling methods.Methods:Clinical assessments and the MID task were conducted on 55 MDD patients and 37 healthy controls(HC).The drift-diffusion model was used to analyze andstatistically test the drift rate under different conditions for both groups of participants.Results:The MDD group exhib⁃ited significantly longer reaction times compared to the HC group.The drift-diffusion model analysis revealed that the MDD group had significantly lower processing speed under the reward condition compared to the healthy control group,but no sig⁃nificant differences were found under the punishment and neutral conditions.Conclusion:This study provides innovative empirical evidence using computational modeling,supporting the presence of motivational behavioral learning impairment in MDD patients under the reward condition,and suggesting a dissociation in the impairment of MDD motivated behavior under different incentive valences.These findings have important implications for gaining a deeper understanding and treat⁃ment of MDD.The use of computational behavioral modeling methods allows for the exploration of subtle differences that may not be observable through conventional behavioral analysis,thus contributing to clinical translation.