Department of Psychiatry and Psychology, Maastricht University, Maastricht University Medical Centre, School for Mental Health and Neuroscience, Maastricht, The Netherlands.
Department of Neuroscience, KU Leuven, Center for Contextual Psychiatry, Leuven, Belgium.
Psychol Med. 2019 Oct;49(14):2441-2451. doi: 10.1017/S0033291718003446. Epub 2018 Nov 29.
Depression has been associated with abnormalities in neural underpinnings of Reward Learning (RL). However, inconsistencies have emerged, possibly owing to medication effects. Additionally, it remains unclear how neural RL signals relate to real-life behaviour. The current study, therefore, examined neural RL signals in young, mildly to moderately depressed - but non-help-seeking and unmedicated - individuals and how these signals are associated with depressive symptoms and real-life motivated behaviour.
Individuals with symptoms along the depression continuum (n = 87) were recruited from the community. They performed an RL task during functional Magnetic Resonance Imaging and were assessed with the Experience Sampling Method (ESM), completing short questionnaires on emotions and behaviours up to 10 times/day for 15 days. Q-learning model-derived Reward Prediction Errors (RPEs) were examined in striatal areas, and subsequently associated with depressive symptoms and an ESM measure capturing (non-linearly) how anticipation of reward experience corresponds to actual reward experience later on.
Significant RPE signals were found in the striatum, insula, amygdala, hippocampus, frontal and occipital cortices. Region-of-interest analyses revealed a significant association between RPE signals and (a) self-reported depressive symptoms in the right nucleus accumbens (b = -0.017, p = 0.006) and putamen (b = -0.013, p = .012); and (b) the quadratic ESM variable in the left (b = 0.010, p = .010) and right (b = 0.026, p = 0.011) nucleus accumbens and right putamen (b = 0.047, p < 0.001).
Striatal RPE signals are disrupted along the depression continuum. Moreover, they are associated with reward-related behaviour in real-life, suggesting that real-life coupling of reward anticipation and engagement in rewarding activities might be a relevant target of psychological therapies for depression.
抑郁症与奖励学习(RL)的神经基础异常有关。然而,由于药物的影响,结果并不一致。此外,神经 RL 信号与现实生活中的行为如何相关仍不清楚。因此,本研究在未寻求帮助且未服用药物的年轻、轻度至中度抑郁人群中检查了 RL 信号,以及这些信号如何与抑郁症状和现实生活中的动机行为相关。
从社区招募处于抑郁连续体症状的个体(n = 87)。他们在功能磁共振成像期间执行 RL 任务,并通过经验采样法(ESM)进行评估,在 15 天内每天完成多达 10 次关于情绪和行为的简短问卷。在纹状体区域检查了基于 Q-learning 模型的奖励预测误差(RPE),并随后将其与抑郁症状和 ESM 测量值相关联,该测量值以非线性的方式捕捉奖励体验的预期与后续实际奖励体验的对应关系。
在纹状体、岛叶、杏仁核、海马体、额叶和枕叶皮质中发现了显著的 RPE 信号。基于感兴趣区域的分析表明,RPE 信号与(a)右侧伏隔核(b = -0.017,p = 0.006)和壳核(b = -0.013,p = 0.012)的自我报告抑郁症状之间存在显著关联;以及(b)左侧(b = 0.010,p = 0.010)和右侧(b = 0.026,p = 0.011)伏隔核以及右侧壳核(b = 0.047,p < 0.001)的 ESM 二次变量之间存在显著关联。
RL 信号沿着抑郁连续体中断。此外,它们与现实生活中的奖励相关行为相关,这表明奖励预期与参与奖励活动的现实生活中的耦合可能是抑郁症心理治疗的一个相关目标。