Evidence map›Paper›PMID 41425476›Full record

ArticleJudgment and decision making2025

Alcohol intoxication and negative mood similarly affect reward learning but not punishment learning in the Iowa gambling task.

Jonas Dora, Holly Sullivan-Toole, Catherine Zhang, Morgan Opdahl, Kevin M King

Abstract read
In one paragraph

Article in Judgment and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jonas DoraUniversity of Washington, USA.
Holly Sullivan-TooleDepartment of Psychology and Neuroscience, Temple University, USA.
Catherine ZhangUniversity of Washington, USA.
Morgan OpdahlUniversity of Washington, USA.
Kevin M KingUniversity of Washington, USA.

Funding

Exploring affect-motivated alcohol use as a value-based decision-making processK99AA030591 · NIAAA · UNIVERSITY OF WASHINGTON · PI DORA, JONAS · 2023 to 2024
$349k
NIAAA NIH HHS K99 AA030591
6 · The paper itself

Abstract

This study investigated how alcohol intoxication and negative mood affect decision-making in the Iowa Gambling Task (IGT) in a high-risk sample of adults who regularly drink alcohol. Using a 2×2 between-subjects design (N=160), we experimentally manipulated alcohol intoxication (target BrAC=.06% vs. .00%) and mood (negative vs. neutral) and employed computational modeling to identify underlying mechanisms. Results showed that alcohol intoxication impaired IGT performance, with intoxicated participants selecting fewer cards from advantageous decks (estimate=-8.12, 95% CI=[-12.83, -3.23]). Evidence for an effect of negative mood was moderate but inconclusive (estimate=-4.82, 95% CI=[-9.66, 0.02]). Computational modeling revealed that both alcohol (estimate=.13, 95% CI=[.05, .21]) and negative mood (estimate=.12, 95% CI=[.04, .20]) increased reward learning rates without affecting punishment learning rates. No interaction effects were observed. These findings suggest that impaired decision-making during alcohol intoxication and negative mood states stems from heightened sensitivity to immediate rewards rather than diminished sensitivity to punishments but these effects do not appear to be additive, providing novel insights into the computational mechanisms underlying alcohol-related decision-making deficits.

Indexed as

alcoholcomputational modelingIowa gambling tasknegative mood

Identifiers

PMID41425476
PMCPMC12716126

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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.