Evidence map›Paper›PMID 41972307›Full record

ArticleeLife2026

Audiovisual cues must be predictable and win-paired to drive risky choice.

Brett A Hathaway, Dexter R Kim, Salwa B A Malhas, Kelly M Hrelja, Lauren Kerker, Tristan J Hynes, Celyn Harris, Angela Langdon, Catharine Winstanley

Abstract read
In one paragraph

Article in eLife, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Brett A HathawayGraduate Program in Neuroscience, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-1905-2199
Dexter R Kim *Department of Psychology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Salwa B A Malhas *Department of Psychology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Kelly M HreljaGraduate Program in Neuroscience, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Lauren KerkerDepartment of Psychology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Tristan J HynesGraduate Program in Neuroscience, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Celyn HarrisDepartment of Psychology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Angela LangdonNational Institute of Mental Health Intramural Research Program, Bethesda, United States.ORCID https://orcid.org/0000-0003-4742-6976
Catharine WinstanleyGraduate Program in Neuroscience, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0001-7032-4471

Funding

Unit on Neural Computations in LearningZIAMH002983 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LANGDON, ANGELA · 2023 to 2025
$2.5M
CIHR PJT-162312Intramural NIH HHS ZIA MH002983Natural Sciences and Engineering Research Council of Canada RGPIN-2017-05006NIMH NIH HHS ZIA-MH002983
6 · The paper itself

Abstract

Risky or maladaptive decision making is thought to be central to the etiology of both drug and gambling addiction. Salient audiovisual cues paired with rewarding outcomes, such as the jackpot sound on a win, can enhance disadvantageous, risky choice in both rats and humans, yet it is unclear which aspects of the cue-reward contingencies drive this effect. Here, we implemented six variants of the rat gambling task (rGT), in which animals can maximize their total sugar pellet profits by avoiding options paired with higher per-trial gains but disproportionately longer and more frequent time-out penalties. When audiovisual cues were delivered concurrently with wins and scaled in salience with reward size, significantly more rats preferred the risky options as compared to the uncued rGT. Similar results were observed when the relationship between reward size and cue complexity was inverted and when cues were delivered concurrently with all outcomes. Conversely, risky choice did not increase when cues occurred randomly on 50% of trials, and decision making actually improved when cues were coincident with losses alone. As such, cues do not increase risky choice by simply elevating arousal or amplifying the difference between wins and losses. It is instead important that the cues are reliably associated with wins; presenting the cues on losing outcomes as well as wins does not diminish their ability to drive risky choice. Computational analyses indicate reductions in the impact of losses on decision making in all rGT variants in which win-paired cues increased risky choice. These results may help us understand how sensory stimulation can increase the addictive nature of gambling and gaming products.

Indexed as

Choice BehaviorCuesRewardRisk-TakingAnimalsDecision MakingGamblingMaleRatsgambling disorderneuroscienceratreinforcement learningreinforcer devaluationreward-paired cuesrisky decision making

Identifiers

PMID41972307
PMCPMC13075936

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.