Evidence map›Paper›PMID 37822768›Full record

ArticlePNAS nexus2023

Orienting attention across binocular disparity.

Baptiste Caziot, Martin Rolfs, Benjamin T Backus

Abstract read
In one paragraph

Article in PNAS nexus, 2023. 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

3 authors.

Baptiste CaziotGraduate Center for Vision Research, SUNY College of Optometry, New York, NY 10036, USA.ORCID https://orcid.org/0000-0002-0887-8657
Martin RolfsBernstein Center for Computational Neuroscience and Department of Psychology, Humboldt University Berlin, Berlin 10099, Germany.ORCID https://orcid.org/0000-0002-8214-8556
Benjamin T BackusGraduate Center for Vision Research, SUNY College of Optometry, New York, NY 10036, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distribution of covert visual attention following an exogenous cue is often described as a spotlight, which disregards depth. Here, we study the orienting of attention across binocular disparity, a key depth cue in primates. A small Gabor patch target was displayed at ±12-arcmin horizontal offset in each eye independently, resulting in four possible 3D locations. With some latency relative to target onset (0-300 ms), an attentional cue was displayed at one of five binocular locations, resulting in various combinations of relative azimuth (horizontal position) and disparity (depth). Observers' task was to discriminate the orientation of the target. Observers' performance decreased as the relative azimuth between the cue and the target increased. Performance also decreased with the difference in disparity, even when the azimuth remained constant. Performance varied with the delay between the cue and the target and was maximal between 100 and 150 ms. The orienting of attention in azimuth and depth followed the same time course. We mapped the 3D shape of attentional focus over time and found that the spatial envelope was approximately a Gaussian modulated in time. These results could not be explained by monocular confounds nor by eye movements. We conclude that exogenous cues direct attention not only to their visual direction but also to their depth and that binocular disparity is sufficient to define that depth. The identical time course and interaction between azimuth and depth suggest a shared mechanism, and therefore that visual attention to spatial location is an intrinsically 3D process.

Identifiers

PMID37822768
PMCPMC10563658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.