Evidence map›Paper›PMID 36100754›Full record

ArticleExperimental brain research2022

Oculomotor system can differentially process red and green colors during saccade programming in the presence of a competing distractor.

Hamidreza Ramezanpour, Shawn Blizzard, Devin Heinze Kehoe, Mazyar Fallah

Abstract read
PubMed Publisher
In one paragraph

Article in Experimental brain research, 2022. 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, top 87% of its field
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, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Hamidreza RamezanpourCentre for Vision Research, York University, Toronto, ON, Canada. hamidram@yorku.ca.ORCID http://orcid.org/0000-0002-0500-4137
Shawn BlizzardCentre for Vision Research, York University, Toronto, ON, Canada.
Devin Heinze KehoeCentre for Vision Research, York University, Toronto, ON, Canada.
Mazyar FallahCentre for Vision Research, York University, Toronto, ON, Canada. mfallah@uoguelph.ca.
York University · CA

Funding

CIHR MOP-102482Natural Sciences and Engineering Research Council of Canada RGPIN-2016-05296
6 · The paper itself

Abstract

Selective attention filters irrelevant information entering our brain to allow for fine-tuning of the relevant information processing. In the visual domain, shifts of attention are most often followed by a saccadic eye movement to objects and places of high relevance. Recent studies have shown that the stimulus color can affect saccade target selection and saccade trajectories. While those saccade modulations are based on perceptual color space, the level in the visual processing hierarchy at which color selection biases saccade programming remains unclear. As color has also been shown to influence manual response inhibition which is a key function of the prefrontal cortex, we hypothesized that the effects of color on executive functions would also inherently affect saccade programming. To test this hypothesis, we measured behavioral performance and saccade metrics during a modified saccadic Stroop task which reflects competition between color words ("RED" and "GREEN") and their color at the level of the prefrontal cortex. Our results revealed that the oculomotor system can differentially process red and green colors when planning a saccade in the presence of a competing distractor.

Indexed as

AttentionSaccadesCognitionColorHumansVisual PerceptionColor saliencySaccadeStroopTarget–distractor similarityTop–down control

Identifiers

PMID36100754
OpenAlexW4295751868

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.