在重度抑郁症治疗期间探索风险决策动态:一种计算建模方法
Weiting Zhou1,2, Zhaoyu Zuo3, Xinlei Ji1,2
1Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
BMC psychiatry
|October 22, 2025
概括
重度抑郁症 (MDD) 患者表现出决策能力受损,包括较高的延迟奖励折扣. 抗抑郁药物治疗减少了损失的敏感性,但持续的奖励功能缺陷和增加了MDD患者的风险选择.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 行为经济学是一种行为经济学.
背景情况:
- 大型抑郁症 (MDD) 与决策的改变有关,包括增加损失敏感性和延迟折扣.
- 关于MDD中风险偏好的现有研究提出了不一致的发现.
- 计算行为建模提供了一种研究MDD潜在决策因素的方法.
研究的目的:
- 分析MDD患者风险决策的横截面和纵向变化.
- 为了将传统的认知任务性能与计算建模参数相关联.
- 调查MDD中奖励和损失的敏感性.
主要方法:
- 52名MDD患者和66名健康对照 (HCs) 完成了心理测量评估和剑桥博任务 (CGT).
- 在选择性血清素再吸收抑制剂 (SSRI) 治疗8周后,MDD患者被重新评估.
- 对CGT数据的累积建模评估了概率扭曲,颜色偏差,效用/损失灵敏度,延迟奖励折扣和选择一致性.
主要成果:
- 与HC患者相比,MDD患者表现出更大的延迟奖励折扣和更低的选择一致性.
- 在接受SSRI治疗后,MDD患者的损失敏感度和颜色选择偏差降低.
- 减少消费性快乐和动机驱动与MDD中延迟奖励折扣的增加相关.
结论:
- 患有MDD的患者表现出奖励功能的基线缺陷,其特点是较高的延迟奖励折扣和较差的风险调整.
- 抗抑郁药物治疗减少了损失敏感性,但没有解决奖励功能障碍.
- 经过治疗后,MDD患者可能会采取更有风险的决策策略.
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