Evidence map›Paper›PMID 31873133›Full record

Trial reportScientific reports2019

Reduced model-based decision-making in gambling disorder.

Florent Wyckmans, A Ross Otto, Miriam Sebold, Nathaniel Daw, Antoine Bechara, Mélanie Saeremans, Charles Kornreich, Armand Chatard, Nemat Jaafari, Xavier Noël

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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  16. Confidence biases in problem gambling.Journal of behavioral addictions · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Florent WyckmansPsychological Medicine Laboratory, Université Libre de Bruxelles, Brussels, Belgium.ORCID http://orcid.org/0000-0002-4639-600X
A Ross OttoDepartment of Psychology, McGill University, Montréal, Canada.
Miriam SeboldDepartment of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-6006-3201
Nathaniel DawPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA.
Antoine BecharaDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Mélanie SaeremansPsychiatric Institute, Universitary Hospital Brugmann, Brussels, Belgium.
Charles KornreichPsychological Medicine Laboratory, Université Libre de Bruxelles, Brussels, Belgium.
Armand ChatardFaculty of Psychology, University of Poitiers, Poitiers, France.
Nemat JaafariFaculty of Medicine, University of Poitiers, Poitiers, France.
Xavier NoëlPsychological Medicine Laboratory, Université Libre de Bruxelles, Brussels, Belgium. xnoel@ulb.ac.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compulsive behaviors (e.g., addiction) can be viewed as an aberrant decision process where inflexible reactions automatically evoked by stimuli (habit) take control over decision making to the detriment of a more flexible (goal-oriented) behavioral learning system. These behaviors are thought to arise from learning algorithms known as "model-based" and "model-free" reinforcement learning. Gambling disorder, a form of addiction without the confound of neurotoxic effects of drugs, showed impaired goal-directed control but the way in which problem gamblers (PG) orchestrate model-based and model-free strategies has not been evaluated. Forty-nine PG and 33 healthy participants (CP) completed a two-step sequential choice task for which model-based and model-free learning have distinct and identifiable trial-by-trial learning signatures. The influence of common psychopathological comorbidities on those two forms of learning were investigated. PG showed impaired model-based learning, particularly after unrewarded outcomes. In addition, PG exhibited faster reaction times than CP following unrewarded decisions. Troubled mood, higher impulsivity (i.e., positive and negative urgency) and current and chronic stress reported via questionnaires did not account for those results. These findings demonstrate specific reinforcement learning and decision-making deficits in behavioral addiction that advances our understanding and may be important dimensions for designing effective interventions.

Indexed as

Behavior, AddictiveDecision MakingGamblingAdultFemaleHumansMale

Identifiers

PMID31873133
PMCPMC6927960

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.