Department of Psychology, University of Cambridge, Cambridge, UK.
Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
Psychopharmacology (Berl). 2019 Aug;236(8):2337-2358. doi: 10.1007/s00213-019-05325-w. Epub 2019 Jul 20.
Disorders of compulsivity such as stimulant use disorder (SUD) and obsessive-compulsive disorder (OCD) are characterised by deficits in behavioural flexibility, some of which have been captured using probabilistic reversal learning (PRL) paradigms.
This study used computational modelling to characterise the reinforcement learning processes underlying patterns of PRL behaviour observed in SUD and OCD and to show how the dopamine D receptor agonist pramipexole and the D antagonist amisulpride affected these responses.
We applied a hierarchical Bayesian method to PRL data across three groups: individuals with SUD, OCD, and healthy controls. Participants completed three sessions where they received placebo, pramipexole, and amisulpride, in a double-blind placebo-controlled, randomised design. We compared seven models using a bridge sampling estimate of the marginal likelihood.
Stimulus-bound perseveration, a measure of the degree to which participants responded to the same stimulus as before irrespective of outcome, was significantly increased in SUD, but decreased in OCD, compared to controls (on placebo). Individuals with SUD also exhibited reduced reward-driven learning, whilst both the SUD and OCD groups showed increased learning from punishment (nonreward). Pramipexole and amisulpride had similar effects on the control and OCD groups; both increased punishment-driven learning. These D-modulating drugs affected the SUD group differently, remediating reward-driven learning and reducing aspects of perseverative behaviour, amongst other effects.
We provide a parsimonious computational account of how perseverative tendencies and reward- and punishment-driven learning differentially contribute to PRL in SUD and OCD. D agents modulated these processes and remediated deficits in SUD in particular, which may inform therapeutic effects.
强迫性障碍,如兴奋剂使用障碍(SUD)和强迫症(OCD),其特征是行为灵活性缺陷,其中一些缺陷已通过概率反转学习(PRL)范式捕捉到。
本研究使用计算建模来描述 SUD 和 OCD 中观察到的 PRL 行为模式背后的强化学习过程,并展示多巴胺 D 受体激动剂普拉克索和 D 拮抗剂氨磺必利如何影响这些反应。
我们将分层贝叶斯方法应用于三组的 PRL 数据:SUD、OCD 和健康对照组。参与者在双盲安慰剂对照、随机设计中完成了三个疗程,分别接受安慰剂、普拉克索和氨磺必利。我们比较了七种模型,使用桥采样估计边际似然。
与对照组相比,SUD 患者的刺激绑定持续存在(一种衡量参与者无论结果如何,对先前相同刺激的反应程度的指标)显著增加,而 OCD 患者的刺激绑定持续存在减少(在安慰剂组)。SUD 患者还表现出减少的奖励驱动学习,而 SUD 和 OCD 组都表现出增加的从惩罚(非奖励)中学习。普拉克索和氨磺必利对对照组和 OCD 组的影响相似;两者都增加了惩罚驱动学习。这些 D 调节药物对 SUD 组的影响不同,改善了奖励驱动学习并减少了其他影响的持续行为的某些方面。
我们提供了一个简洁的计算解释,说明冲动倾向和奖励驱动学习如何不同地导致 SUD 和 OCD 中的 PRL。D 剂调节了这些过程,并特别改善了 SUD 的缺陷,这可能为治疗效果提供信息。