Computational modelling reveals contrasting effects on reinforcement learning and cognitive flexibility in stimulant use disorder and obsessive-compulsive disorder: remediating effects of dopaminergic D2/3 receptor agents

Psychopharmacology (Berl). 2019 Aug;236(8):2337-2358. doi: 10.1007/s00213-019-05325-w. Epub 2019 Jul 20.

Abstract

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 D2/3 receptor agonist pramipexole and the D2/3 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 D2/3-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. D2/3 agents modulated these processes and remediated deficits in SUD in particular, which may inform therapeutic effects.

Keywords: Addiction; Amisulpride; Compulsivity; Computational modelling; Dopamine; Obsessive-compulsive disorder; Pramipexole; Reinforcement learning; Reversal learning; Stimulant use disorder.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Adult
  • Central Nervous System Stimulants / therapeutic use
  • Cognition / drug effects
  • Cognition / physiology
  • Dopamine Agonists / pharmacology
  • Dopamine Agonists / therapeutic use
  • Dopamine Antagonists / pharmacology
  • Dopamine Antagonists / therapeutic use
  • Dopamine D2 Receptor Antagonists / pharmacology
  • Double-Blind Method
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Neurological
  • Obsessive-Compulsive Disorder / drug therapy
  • Obsessive-Compulsive Disorder / metabolism*
  • Obsessive-Compulsive Disorder / psychology
  • Receptors, Dopamine D2 / agonists
  • Receptors, Dopamine D2 / metabolism*
  • Receptors, Dopamine D3 / agonists
  • Receptors, Dopamine D3 / antagonists & inhibitors
  • Receptors, Dopamine D3 / metabolism*
  • Reinforcement, Psychology*
  • Reversal Learning / drug effects
  • Reversal Learning / physiology*
  • Reward
  • Substance-Related Disorders / drug therapy
  • Substance-Related Disorders / metabolism*
  • Substance-Related Disorders / psychology
  • Young Adult

Substances

  • Central Nervous System Stimulants
  • Dopamine Agonists
  • Dopamine Antagonists
  • Dopamine D2 Receptor Antagonists
  • Receptors, Dopamine D2
  • Receptors, Dopamine D3