Evidence map›Paper›PMID 38816552›Full record

ArticleExperimental brain research2024

Attention facilitates initiation of perceptual decision making: a combined psychophysical and electroencephalography study.

Tomohiro Ueno, Hironori Kumano, Takanori Uka

Abstract read
In one paragraph

Article in Experimental brain research, 2024. 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

3 authors.

Tomohiro UenoDepartment of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo-Shi, Yamanashi, Japan.
Hironori KumanoDepartment of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo-Shi, Yamanashi, Japan.
Takanori UkaDepartment of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, 1110 Shimokato, Chuo-Shi, Yamanashi, Japan. tuka@yamanashi.ac.jp.ORCID http://orcid.org/0000-0002-5026-8596

Funding

Japan Society for the Promotion of Science JP19H03531Japan Society for the Promotion of Science JP19H05207Japan Society for the Promotion of Science JP23H02786Japan Society for the Promotion of Science JP23H04674
6 · The paper itself

Abstract

Humans can selectively process information and make decisions by directing their attention to desired locations in their daily lives. Numerous studies have shown that attention increases the rate of correct responses and shortens reaction time, and it has been hypothesized that this phenomenon is caused by an increase in sensitivity of the sensory signals to which attention is directed. The present study employed psychophysical methods and electroencephalography (EEG) to test the hypothesis that attention accelerates the onset of information accumulation. Participants were asked to discriminate the motion direction of one of two random dot kinematograms presented on the left and right sides of the visual field, one of which was cued by an arrow in 80% of the trials. The drift-diffusion model was applied to the percentage of correct responses and reaction times in the attended and unattended fields of view. Attention primarily increased sensory sensitivity and shortened the time unrelated to decision making. Next, we measured centroparietal positivity (CPP), an EEG measure associated with decision making, and found that CPP latency was shorter in attended trials than in unattended trials. These results suggest that attention not only increases sensory sensitivity but also accelerates the initiation of decision making.

Indexed as

AttentionDecision MakingElectroencephalographyReaction TimeAdultFemaleHumansMaleMotion PerceptionPhotic StimulationPsychophysicsVisual PerceptionYoung AdultDrift diffusion modelHumanParietal cortexReaction time

Identifiers

PMID38816552
PMCPMC11208218

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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.