Evidence map›Paper›PMID 42251816›Full record

ArticleDrug and alcohol dependence2026

Attentional bias toward emotional and cigarette cues: Insights from a computer mouse-tracking task in adults who smoke and adults who do not smoke.

Jung Uk Kang, Alexandria Baldizon, Jelena Salvador, Brian A Taylor, Francesco Versace

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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

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5 · Who and what money

Authors and funding

5 authors.

Jung Uk KangDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Alexandria BaldizonDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jelena SalvadorDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Brian A TaylorDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Francesco VersaceDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: fversace@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Incentive salience and the neuropsychological underpinnings of cue-induced smoking relapseR01DA032581 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI VERSACE, FRANCESCO · 2012 to 2024
$2.5M
Multi-parametric MRI Assessment of Brain Connectivity and Spectroscopic Biomarkers in Patients with Opioid Use DisorderK23DA049216 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI TAYLOR, BRIAN ALLEN · 2020 to 2024
$954k
NCI NIH HHS P30 CA016672NIDA NIH HHS K23 DA049216NIDA NIH HHS R01 DA032581
6 · The paper itself

Abstract

introductionAttentional bias to drug-related cues is widely considered a core feature of addiction, yet its empirical assessment is highly sensitive to task design and stimulus selection. We used a computer mouse-tracking paradigm to examine attentional bias toward cigarette-related, pleasant, unpleasant, and neutral images.

methodsNinety-six participants (49 adults who smoke, 47 adults who did not smoke) completed the task. Trajectory deviation, measured via maximum absolute deviation (MAD), served as index of attentional bias. To examine individual differences in cue reactivity among participants who smoked, we applied k-means clustering to the MAD data and replicated the findings in an independent sample of 85 individuals who smoked cigarettes.

resultsBoth groups showed stronger bias for emotionally salient distractors, especially pleasant images, highlighting how the inclusion of emotionally matched control stimuli could reveal overlooked confounds in addiction research. Contrary to expectations, individuals who smoked did not show greater attentional bias to cigarette cues than nonsmokers. K-means clustering revealed two subgroups among individuals who smoked: one selectively biased toward cigarette cues, and another more reactive to pleasant stimuli. We replicated these results in an independent sample of 85 individuals who smoked cigarettes.

conclusionsThe identification of different attentional bias profiles among individuals who smoke aligns with prior neuroimaging findings and suggests that the mouse-tracking paradigm may serve as a scalable, cost-effective tool for detecting individual differences in reactivity to drug-related and non-drug-related pleasant stimuli.

Indexed as

Attentional BiasCigarette SmokingCuesEmotionsSmokingAdultClustering AlgorithmsFemaleHumansMaleMiddle AgedPhotic StimulationYoung AdultAddictionAttentionCigaretteNicotineSmoking

Identifiers

PMID42251816
PMCPMC13476986

What OpenQuestion holds

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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.