Impairments in reinforcement learning do not explain enhanced habit formation in cocaine use disorder.

Rationale: Drug addiction has been suggested to develop through drug-induced changes in learning and memory processes. Whilst the initiation of drug use is typically goal-directed and hedonically motivated, over time, drug-taking may develop into a stimulus-driven habit, characterised by persistent...

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Publicado en:Psychopharmacology Vol. 236; no. 8; pp. 2359 - 2372
Autores principales: Lim, T. V., Cardinal, R. N., Savulich, G., Jones, P. S., Moustafa, A. A., Robbins, T. W., Ersche, K. D.
Formato: Journal Article
Publicado: Springer Nature Aug2019
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00213-019-05330-z
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        atl: Impairments in reinforcement learning do not explain enhanced habit formation in cocaine use disorder.
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          Lim, T. V.
          Cardinal, R. N.
          Savulich, G.
          Jones, P. S.
          Moustafa, A. A.
          Robbins, T. W.
          Ersche, K. D.
        affil: Departments of Psychiatry, Psychology and Clinical Neurosciences, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Cambridge Biomedical Campus, CB2 0SZ, Cambridge, UK
      sug:
      ab: Rationale: Drug addiction has been suggested to develop through drug-induced changes in learning and memory processes. Whilst the initiation of drug use is typically goal-directed and hedonically motivated, over time, drug-taking may develop into a stimulus-driven habit, characterised by persistent use of the drug irrespective of the consequences. Converging lines of evidence suggest that stimulant drugs facilitate the transition of goal-directed into habitual drug-taking, but their contribution to goal-directed learning is less clear. Computational modelling may provide an elegant means for elucidating changes during instrumental learning that may explain enhanced habit formation. Objectives: We used formal reinforcement learning algorithms to deconstruct the process of appetitive instrumental learning and to explore potential associations between goal-directed and habitual actions in patients with cocaine use disorder (CUD). Methods: We re-analysed appetitive instrumental learning data in 55 healthy control volunteers and 70 CUD patients by applying a reinforcement learning model within a hierarchical Bayesian framework. We used a regression model to determine the influence of learning parameters and variations in brain structure on subsequent habit formation. Results: Poor instrumental learning performance in CUD patients was largely determined by difficulties with learning from feedback, as reflected by a significantly reduced learning rate. Subsequent formation of habitual response patterns was partly explained by group status and individual variation in reinforcement sensitivity. White matter integrity within goal-directed networks was only associated with performance parameters in controls but not in CUD patients. Conclusions: Our data indicate that impairments in reinforcement learning are insufficient to account for enhanced habitual responding in CUD.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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