Evidence map›Paper›PMID 38073280›Full record

ArticleBJPsych open2023

Computational modelling of reinforcement learning and functional neuroimaging of probabilistic reversal for dissociating compulsive behaviours in gambling and cocaine use disorders.

Katharina Zühlsdorff, Juan Verdejo-Román, Luke Clark, Natalia Albein-Urios, Carles Soriano-Mas, Rudolf N Cardinal, Trevor W Robbins, Jeffrey W Dalley, Antonio Verdejo-García, Jonathan W Kanen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 at 7 institutions in 4 countries.

Katharina ZühlsdorffDepartment of Psychology, University of Cambridge, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK; and the Alan Turing Institute, London, UK.ORCID https://orcid.org/0000-0002-8501-4529
Juan Verdejo-RománDepartment of Personality, Assessment and Psychological Treatment, Universidad de Granada, Spain; and Mind, Brain and Behavior Research Center, Universidad de Granada, Spain.
Luke ClarkDepartment of Psychology and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Canada.
Natalia Albein-UriosCognitive Neuroscience Unit, School of Psychology, Deakin University, Australia.
Carles Soriano-MasDepartment of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL, Spain; Department of Social Psychology and Quantitative Psychology, University of Barcelona, Spain; and CIBERSAM, Carlos III Health Institute, Madrid, Spain.
Rudolf N CardinalBehavioural and Clinical Neuroscience Institute, University of Cambridge, UK; Department of Psychiatry, University of Cambridge, UK; and Liaison Psychology, Cambridgeshire and Peterborough NHS Foundation Trust, UK.
Trevor W RobbinsDepartment of Psychology, University of Cambridge, UK; and Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK.
Jeffrey W DalleyDepartment of Psychology, University of Cambridge, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK; and Department of Psychiatry, University of Cambridge, UK.
Antonio Verdejo-GarcíaSchool of Psychological Sciences, Monash University, Australia; and Turner Institute for Brain and Mental Health, Monash University, Australia.
Jonathan W KanenDepartment of Psychology, University of Cambridge, UK; and Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK.
University of Cambridge · GBDeakin University · AUInstituto de Salud Carlos III · ESMonash University · AUTuring Institute · GBUniversidad de Granada · ESUniversity of British Columbia · CA

Funding

Training the Next Generation of Psychiatrists-Scientists for Translational ResearchR25MH129256 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANTONIA S NEW, Maria De Las Mercedes Perez Rodriguez · 2023 to 2026
$831k
Medical Research Council MR/W014386/1NIMH NIH HHS R25 MH129256
6 · The paper itself

Abstract

backgroundIndividuals with cocaine use disorder or gambling disorder demonstrate impairments in cognitive flexibility: the ability to adapt to changes in the environment. Flexibility is commonly assessed in a laboratory setting using probabilistic reversal learning, which involves reinforcement learning, the process by which feedback from the environment is used to adjust behavior.

aimsIt is poorly understood whether impairments in flexibility differ between individuals with cocaine use and gambling disorders, and how this is instantiated by the brain. We applied computational modelling methods to gain a deeper mechanistic explanation of the latent processes underlying cognitive flexibility across two disorders of compulsivity.

methodWe present a re-analysis of probabilistic reversal data from individuals with either gambling disorder (

resultsWe observed lower 'stimulus stickiness' in gambling disorder, and report differences in tracking expected values in individuals with gambling disorder compared to controls, with greater activity during reward expected value tracking in the cingulate gyrus and amygdala. In cocaine use disorder, we observed lower responses to positive punishment prediction errors and greater activity following negative punishment prediction errors in the superior frontal gyrus compared to controls.

conclusionsUsing a computational approach, we show that individuals with gambling disorder and cocaine use disorder differed in their perseverative tendencies and in how they tracked value neurally, which has implications for psychiatric classification.

Indexed as

Cocaine use disorderexpected valuegambling disorderprediction errorreinforcement learning

Identifiers

PMID38073280
PMCPMC10755559
OpenAlexW4389567541

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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.