Journal
PSYCHOPHARMACOLOGY
Volume 236, Issue 8, Pages 2337-2358Publisher
SPRINGER
DOI: 10.1007/s00213-019-05325-w
Keywords
Obsessive-compulsive disorder; Stimulant use disorder; Addiction; Compulsivity; Reversal learning; Reinforcement learning; Computational modelling; Dopamine; Amisulpride; Pramipexole
Categories
Funding
- GlaxoSmithKline
- Gates Cambridge Scholarship
- Wellcome Trust [104631/Z/14/Z]
- UK Medical Research Council [MC_PC_17213]
- UK National Health Service (NHS) National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre
- Medical Research Council Clinical Research Infrastructure award [MR/M009041/1]
- MRC [MC_PC_17213] Funding Source: UKRI
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Rationale 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. Objectives 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-2/3 receptor agonist pramipexole and the D-2/3 antagonist amisulpride affected these responses. Methods 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. Results 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-2/3-modulating drugs affected the SUD group differently, remediating reward-driven learning and reducing aspects of perseverative behaviour, amongst other effects. Conclusions 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-2/3 agents modulated these processes and remediated deficits in SUD in particular, which may inform therapeutic effects.
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