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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

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 computationa...

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Autores principales: Kanen, Jonathan W., Ersche, Karen D., Fineberg, Naomi A., Robbins, Trevor W., Cardinal, Rudolf N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820481/
https://www.ncbi.nlm.nih.gov/pubmed/31324936
http://dx.doi.org/10.1007/s00213-019-05325-w
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author Kanen, Jonathan W.
Ersche, Karen D.
Fineberg, Naomi A.
Robbins, Trevor W.
Cardinal, Rudolf N.
author_facet Kanen, Jonathan W.
Ersche, Karen D.
Fineberg, Naomi A.
Robbins, Trevor W.
Cardinal, Rudolf N.
author_sort Kanen, Jonathan W.
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00213-019-05325-w) contains supplementary material, which is available to authorized users.
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spelling pubmed-68204812019-11-06 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 Kanen, Jonathan W. Ersche, Karen D. Fineberg, Naomi A. Robbins, Trevor W. Cardinal, Rudolf N. Psychopharmacology (Berl) Original Investigation 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00213-019-05325-w) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-07-20 2019 /pmc/articles/PMC6820481/ /pubmed/31324936 http://dx.doi.org/10.1007/s00213-019-05325-w Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Investigation
Kanen, Jonathan W.
Ersche, Karen D.
Fineberg, Naomi A.
Robbins, Trevor W.
Cardinal, Rudolf N.
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820481/
https://www.ncbi.nlm.nih.gov/pubmed/31324936
http://dx.doi.org/10.1007/s00213-019-05325-w
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