Institute for Adaptive and Neural Computation, University of Edinburgh, Edinburgh, United Kingdom.
Centre for Addictive Disorders, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland.
Sci Rep. 2018 Sep 14;8(1):13798. doi: 10.1038/s41598-018-31730-w.
Depression is a debilitating condition with a high prevalence. Depressed patients have been shown to be diminished in their ability to integrate their reinforcement history to adjust future behaviour during instrumental reward learning tasks. Here, we tested whether such impairments could also be observed in a Pavlovian conditioning task. We recruited and analysed 32 subjects, 15 with depression and 17 healthy controls, to study behavioural group differences in learning and decision-making. Participants had to estimate the probability of some fractal stimuli to be associated with a binary reward, based on a few passive observations. They then had to make a choice between one of the observed fractals and another target for which the reward probability was explicitly given. Computational modelling was used to succinctly describe participants' behaviour. Patients performed worse than controls at the task. Computational modelling revealed that this was caused by behavioural impairments during both learning and decision phases. Depressed subjects showed lower memory of observed rewards and had an impaired ability to use internal value estimations to guide decision-making in our task.
抑郁症是一种普遍存在且使人虚弱的疾病。研究表明,抑郁患者在整合强化历史以调整工具性奖励学习任务中的未来行为的能力方面存在缺陷。在这里,我们测试了这种缺陷是否也可以在条件反射学习任务中观察到。我们招募并分析了 32 名参与者,其中 15 名患有抑郁症,17 名健康对照者,以研究学习和决策中的行为组间差异。参与者必须根据几次被动观察来估计一些分形刺激与二元奖励相关的概率。然后,他们必须在观察到的分形之一和另一个明确给出奖励概率的目标之间做出选择。计算模型用于简洁地描述参与者的行为。患者在任务中的表现逊于对照组。计算模型表明,这是由于学习和决策阶段的行为障碍造成的。抑郁患者对观察到的奖励的记忆较低,并且在我们的任务中使用内部价值估计来指导决策的能力受损。