Evidence map›Paper›PMID 27063360›Full record

ArticleVision research2016

Crowding in the S-cone pathway.

Daniel R Coates, Susana T L Chung

Abstract read
In one paragraph

Article in Vision research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Enhanced S-cone Syndrome, a Mini-review.Advances in experimental medicine and biology · 2023
    Review
  3. Article
  4. Article
  5. Foveal Crowding Resolved.Scientific reports · 2018
    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

2 authors.

Daniel R CoatesVision Science Graduate Group, University of California, Berkeley, United States. Electronic address: dan.coates@ppw.kuleuven.be.
Susana T L ChungVision Science Graduate Group, University of California, Berkeley, United States; School of Optometry, University of California, Berkeley, United States.

Funding

TRAINING PROGRAM IN VISION SCIENCET32EY007043 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI Suzanne MJ FLEISZIG · 1985 to 2026
$12.9M
READING IN PERIPHERAL VISIONR01EY012810 · NEI · UNIVERSITY OF HOUSTON · PI CHUNG, SUSANA T · 2000 to 2017
$3.8M
NEI NIH HHS R01 EY012810NEI NIH HHS T32 EY007043
6 · The paper itself

Abstract

The spatial extent of interference from nearby object or contours (the critical spacing of "crowding") has been thoroughly characterized across the visual field, typically using high contrast achromatic stimuli. However, attempts to link this measure with known properties of physiological pathways have been inconclusive. The S-cone pathway, with its ease of psychophysical isolation and known anatomical characteristics, offers a unique tool to gain additional insights into crowding. In this study, we measured the spatial extent of crowding in the S-cone pathway at several retinal locations using a chromatic adaptation paradigm. S-cone crowding was evident and extensive, but its spatial extent changed less markedly as a function of retinal eccentricity than the extent found using traditional achromatic stimuli. However, the spatial extent agreed with that of low contrast achromatic stimuli matched for isolated resolvability. This suggests that common cortical mechanisms mediate the crowding effect in the S-cone and achromatic pathway, but contrast is an important factor. The low contrast of S-cone stimuli makes S-cone vision more acuity-limited than crowding-limited.

Indexed as

AdolescentAdultContrast SensitivityFemaleForm PerceptionHumansMalePhotic StimulationRetinal Cone Photoreceptor CellsSensory ThresholdsVisual AcuityVisual FieldsYoung AdultCritical spacingCrowdingPeripheral acuityS-cone pathway

Identifiers

PMID27063360
PMCPMC4867106

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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.