Temporal discounting in major depressive disorder

重性抑郁障碍 时间贴现 心理学 贴现 延迟贴现 临床心理学 认知 萧条(经济学) 情感(语言学) 精神科 财务 冲动性 经济 沟通 宏观经济学
作者
Erdem Pulcu,Paula D. Trotter,E. J. Thomas,Martyn McFarquhar,Gabriella Juhász,Barbara J. Sahakian,J.F.W. Deakin,Roland Zahn,Ian Anderson,Rebecca Elliott
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:44 (9): 1825-1834 被引量:105
标识
DOI:10.1017/s0033291713002584
摘要

Background Major depressive disorder (MDD) is associated with abnormalities in financial reward processing. Previous research suggests that patients with MDD show reduced sensitivity to frequency of financial rewards. However, there is a lack of conclusive evidence from studies investigating the evaluation of financial rewards over time, an important aspect of reward processing that influences the way people plan long-term investments. Beck's cognitive model posits that patients with MDD hold a negative view of the future that may influence the amount of resources patients are willing to invest into their future selves. Method We administered a delay discounting task to 82 participants: 29 healthy controls, 29 unmedicated participants with fully remitted MDD (rMDD) and 24 participants with current MDD (11 on medication). Results Patients with current MDD, relative to remitted patients and healthy subjects, discounted large-sized future rewards at a significantly higher rate and were insensitive to changes in reward size from medium to large. There was a main effect of clinical group on discounting rates for large-sized rewards, and discounting rates for large-sized rewards correlated with severity of depressive symptoms, particularly hopelessness. Conclusions Higher discounting of delayed rewards in MDD seems to be state dependent and may be a reflection of depressive symptoms, specifically hopelessness. Discounting distant rewards at a higher rate means that patients are more likely to choose immediate financial options. Such impairments related to long-term investment planning may be important for understanding value-based decision making in MDD, and contribute to ongoing functional impairment.

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