Evidence map›Paper›PMID 42616817›Full record

ArticleeLife2026

Overt visual attention modulates decision-related signals in the frontal cortex.

Blair R K Shevlin, Rachael Gwinn, Aidan Makwana, Ian Krajbich

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Blair R K ShevlinCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID https://orcid.org/0000-0002-5420-0046
Rachael GwinnDepartment of Psychology, The Ohio State University, Columbus, United States.
Aidan MakwanaDepartment of Psychology, The Ohio State University, Columbus, United States.
Ian KrajbichDepartment of Psychology, The Ohio State University, Columbus, United States.ORCID https://orcid.org/0000-0001-6618-5675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When indicating a preference between two options, decision makers are thought to compare and accumulate evidence in an attention-guided process. Little is known about this process's neural substrates or how visual attention affects the representations of accumulated evidence. We conducted a simultaneous eye-tracking and fMRI experiment in which human subjects gradually learnt about the value of two food-lotteries. With this design, we were able to extend decisions over a prolonged time-course, manipulate the temporal onset of evidence, and therefore, dissociate sampled and accumulated evidence. We observed inconsistent correlations of both sampled and accumulated evidence with activity in the ventromedial prefrontal cortex (vmPFC), the ventral striatum, and the intraparietal sulcus (IPS), and more consistent correlations of accumulated evidence with activity in the dorsolateral prefrontal cortex (dlPFC) and pre-supplementary motor area (pre-SMA). We also found that more gaze on an option increased its choice probability and that gaze consistently amplified accumulated-value signals above and beyond the non-gaze-modulated signals in the pre-SMA and partially in the dlPFC, providing novel evidence that visual attention has lasting effects on decision variables and suggesting that activity in the pre-SMA and dlPFC reflects gaze-weighted accumulated evidence. These results shed new light on the neural mechanisms underlying gaze-driven decision processes.

Indexed as

AttentionDecision MakingFrontal LobeVisual PerceptionAdultEye-Tracking TechnologyFemaleHumansMagnetic Resonance ImagingMalePrefrontal CortexYoung Adultdecision-makingdrift diffusion modeleconomiceye movementshumanneurosciencevalue-basedvisual attention

Identifiers

PMID42616817
PMCPMC13489626

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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.