Literature DB >> 23752095

Transition from 'model-based' to 'model-free' behavioral control in addiction: Involvement of the orbitofrontal cortex and dorsolateral striatum.

Federica Lucantonio1, Daniele Caprioli, Geoffrey Schoenbaum.   

Abstract

Cocaine addiction is a complex and multidimensional process involving a number of behavioral and neural forms of plasticity. The behavioral transition from voluntary drug use to compulsive drug taking may be explained at the neural level by drug-induced changes in function or interaction between a flexible planning system, associated with prefrontal cortical regions, and a rigid habit system, associated with the striatum. The dichotomy between these two systems is operationalized in computational theory by positing model-based and model-free learning mechanisms, the former relying on an "internal model" of the environment and the latter on pre-computed or cached values to control behavior. In this review, we will suggest that model-free and model-based learning mechanisms appear to be differentially affected, at least in the case of psychostimulants such as cocaine, with the former being enhanced while the latter are disrupted. As a result, the behavior of long-term drug users becomes less flexible and responsive to the desirability of expected outcomes and more habitual, based on the long history of reinforcement. To support our specific proposal, we will review recent neural and behavioral evidence on the effect of psychostimulant exposure on orbitofrontal and dorsolateral striatum structure and function. This article is part of a Special Issue entitled 'NIDA 40th Anniversary Issue'. Published by Elsevier Ltd.

Entities:  

Keywords:  Addiction; Orbitofrontal cortex; Striatum

Mesh:

Year:  2013        PMID: 23752095      PMCID: PMC3809026          DOI: 10.1016/j.neuropharm.2013.05.033

Source DB:  PubMed          Journal:  Neuropharmacology        ISSN: 0028-3908            Impact factor:   5.250


  90 in total

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5.  Orbitofrontal cortex and basolateral amygdala encode expected outcomes during learning.

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6.  Shift from goal-directed to habitual cocaine seeking after prolonged experience in rats.

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Review 7.  Model-based learning and the contribution of the orbitofrontal cortex to the model-free world.

Authors:  Michael A McDannald; Yuji K Takahashi; Nina Lopatina; Brad W Pietras; Josh L Jones; Geoffrey Schoenbaum
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8.  Cocaine exposure shifts the balance of associative encoding from ventral to dorsolateral striatum.

Authors:  Yuji Takahashi; Matthew R Roesch; Thomas A Stalnaker; Geoffrey Schoenbaum
Journal:  Front Integr Neurosci       Date:  2007-12

Review 9.  The ubiquity of model-based reinforcement learning.

Authors:  Bradley B Doll; Dylan A Simon; Nathaniel D Daw
Journal:  Curr Opin Neurobiol       Date:  2012-09-06       Impact factor: 6.627

Review 10.  A unified framework for addiction: vulnerabilities in the decision process.

Authors:  A David Redish; Steve Jensen; Adam Johnson
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  31 in total

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5.  Dorsolateral neostriatum contribution to incentive salience: opioid or dopamine stimulation makes one reward cue more motivationally attractive than another.

Authors:  Alexandra G DiFeliceantonio; Kent C Berridge
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6.  Model-Free and Model-Based Influences in Addiction-Related Behaviors.

Authors:  Stephanie M Groman; Bart Massi; Samuel R Mathias; Daeyeol Lee; Jane R Taylor
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Review 7.  The role of the orbitofrontal cortex in alcohol use, abuse, and dependence.

Authors:  David E Moorman
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8.  Prior Cocaine Self-Administration Increases Response-Outcome Encoding That Is Divorced from Actions Selected in Dorsal Lateral Striatum.

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9.  Expectancy-Related Changes in Dopaminergic Error Signals Are Impaired by Cocaine Self-Administration.

Authors:  Yuji K Takahashi; Thomas A Stalnaker; Yasmin Marrero-Garcia; Ray M Rada; Geoffrey Schoenbaum
Journal:  Neuron       Date:  2019-01-16       Impact factor: 17.173

10.  Impaired Bayesian learning for cognitive control in cocaine dependence.

Authors:  Jaime S Ide; Sien Hu; Sheng Zhang; Angela J Yu; Chiang-shan R Li
Journal:  Drug Alcohol Depend       Date:  2015-04-02       Impact factor: 4.492

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