Literature DB >> 33531415

Attenuated Directed Exploration during Reinforcement Learning in Gambling Disorder.

A Wiehler1,2,3, K Chakroun4, J Peters1,5.   

Abstract

Gambling disorder (GD) is a behavioral addiction associated with impairments in value-based decision-making and behavioral flexibility and might be linked to changes in the dopamine system. Maximizing long-term rewards requires a flexible trade-off between the exploitation of known options and the exploration of novel options for information gain. This exploration-exploitation trade-off is thought to depend on dopamine neurotransmission. We hypothesized that human gamblers would show a reduction in directed (uncertainty-based) exploration, accompanied by changes in brain activity in a fronto-parietal exploration-related network. Twenty-three frequent, non-treatment seeking gamblers and twenty-three healthy matched controls (all male) performed a four-armed bandit task during functional magnetic resonance imaging (fMRI). Computational modeling using hierarchical Bayesian parameter estimation revealed signatures of directed exploration, random exploration, and perseveration in both groups. Gamblers showed a reduction in directed exploration, whereas random exploration and perseveration were similar between groups. Neuroimaging revealed no evidence for group differences in neural representations of basic task variables (expected value, prediction errors). Our hypothesis of reduced frontal pole (FP) recruitment in gamblers was not supported. Exploratory analyses showed that during directed exploration, gamblers showed reduced parietal cortex and substantia-nigra/ventral-tegmental-area activity. Cross-validated classification analyses revealed that connectivity in an exploration-related network was predictive of group status, suggesting that connectivity patterns might be more predictive of problem gambling than univariate effects. Findings reveal specific reductions of strategic exploration in gamblers that might be linked to altered processing in a fronto-parietal network and/or changes in dopamine neurotransmission implicated in GD.SIGNIFICANCE STATEMENT Wiehler et al. (2021) report that gamblers rely less on the strategic exploration of unknown, but potentially better rewards during reward learning. This is reflected in a related network of brain activity. Parameters of this network can be used to predict the presence of problem gambling behavior in participants.
Copyright © 2021 the authors.

Entities:  

Keywords:  exploration-exploitation; fMRI; gambling disorder; perseveration; reinforcement learning; reward

Year:  2021        PMID: 33531415      PMCID: PMC7984586          DOI: 10.1523/JNEUROSCI.1607-20.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  63 in total

1.  Pathological gambling is linked to reduced activation of the mesolimbic reward system.

Authors:  Jan Reuter; Thomas Raedler; Michael Rose; Iver Hand; Jan Gläscher; Christian Büchel
Journal:  Nat Neurosci       Date:  2005-01-09       Impact factor: 24.884

2.  Informatic parcellation of the network involved in the computation of subjective value.

Authors:  John A Clithero; Antonio Rangel
Journal:  Soc Cogn Affect Neurosci       Date:  2013-07-24       Impact factor: 3.436

3.  Transcranial Stimulation over Frontopolar Cortex Elucidates the Choice Attributes and Neural Mechanisms Used to Resolve Exploration-Exploitation Trade-Offs.

Authors:  Anjali Raja Beharelle; Rafael Polanía; Todd A Hare; Christian C Ruff
Journal:  J Neurosci       Date:  2015-10-28       Impact factor: 6.167

Review 4.  Reward-based decision making in pathological gambling: the roles of risk and delay.

Authors:  Antonius Wiehler; Jan Peters
Journal:  Neurosci Res       Date:  2014-09-28       Impact factor: 3.304

Review 5.  The algorithmic architecture of exploration in the human brain.

Authors:  Eric Schulz; Samuel J Gershman
Journal:  Curr Opin Neurobiol       Date:  2018-12-06       Impact factor: 6.627

6.  Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans.

Authors:  Mathias Pessiglione; Ben Seymour; Guillaume Flandin; Raymond J Dolan; Chris D Frith
Journal:  Nature       Date:  2006-08-23       Impact factor: 49.962

7.  Pure correlates of exploration and exploitation in the human brain.

Authors:  Tommy C Blanchard; Samuel J Gershman
Journal:  Cogn Affect Behav Neurosci       Date:  2018-02       Impact factor: 3.282

8.  Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II.

Authors:  J B Saunders; O G Aasland; T F Babor; J R de la Fuente; M Grant
Journal:  Addiction       Date:  1993-06       Impact factor: 6.526

9.  DSM-IV pathological gambling in the National Comorbidity Survey Replication.

Authors:  R C Kessler; I Hwang; R LaBrie; M Petukhova; N A Sampson; K C Winters; H J Shaffer
Journal:  Psychol Med       Date:  2008-02-07       Impact factor: 7.723

10.  Dopamine blockade impairs the exploration-exploitation trade-off in rats.

Authors:  François Cinotti; Virginie Fresno; Nassim Aklil; Etienne Coutureau; Benoît Girard; Alain R Marchand; Mehdi Khamassi
Journal:  Sci Rep       Date:  2019-05-01       Impact factor: 4.379

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  1 in total

1.  Distinct motivations to seek out information in healthy individuals and problem gamblers.

Authors:  Irene Cogliati Dezza; Xavier Noel; Axel Cleeremans; Angela J Yu
Journal:  Transl Psychiatry       Date:  2021-07-26       Impact factor: 6.222

  1 in total

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