Evidence map›Paper›PMID 40193319›Full record

ArticlePloS one2025

Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking.

Mary E McNamara, Jason Shumake, Christopher G Beevers

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

3 authors.

Mary E McNamaraDepartment of Psychology and Institute for Mental Health Research, University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0001-7062-700X
Jason ShumakeDepartment of Psychology and Institute for Mental Health Research, University of Texas at Austin, Austin, Texas, United States of America.
Christopher G BeeversDepartment of Psychology and Institute for Mental Health Research, University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0002-4480-0902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biased attention for dysphoric stimuli is thought to maintain depression, but poor measurement has limited prior tests of this hypothesis. The current study examined the association between biased attention for dysphoric information and depression using a novel free viewing attention bias task combined with measuring line of visual gaze via eye tracking or a behavioral proxy for line of visual gaze via mouse tracking in three samples of college students using in-person eye-tracking (Experiment 1, N =  129) and remotely collected mouse-tracking (Experiment 2, N =  79; Experiment 3, N =  154). Mixed effects regression analyses revealed that depression severity was significantly associated with greater attention for dysphoric stimuli in Experiments 1 and 2, but not Experiment 3. Results suggest that depression severity is associated with attention for dysphoric information (although findings from Experiment 3 temper this conclusion) and that eye- and mouse-tracking may be good options for measuring attention bias in depression. Additional work using longitudinal research designs seems warranted to further examine the relationship between attention bias for dysphoric information and the maintenance of depression.

Indexed as

AttentionDepressionEye-Tracking TechnologyAdolescentAdultEye MovementsFemaleHumansMaleYoung Adult

Identifiers

PMID40193319
PMCPMC11975072

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.