Evidence map›Paper›PMID 38617271›Full record

ArticlebioRxiv : the preprint server for biology2025

Human V4 size predicts crowding distance.

Jan W Kurzawski, Brenda S Qiu, Najib J Majaj, Noah Benson, Denis G Pelli, Jonathan Winawer

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jan W KurzawskiDepartment of Psychology, New York University, New York, NY, USA.ORCID 0000-0003-2781-1236
Brenda S QiuDepartment of Psychology, University of Washington, Seattle, WA, USA.
Najib J MajajCenter for Neural Science, New York University, New York, NY, USA.
Noah BensoneScience Institute, University of Washington, Seattle, WA, USA.ORCID 0000-0002-2365-8265
Denis G PelliDepartment of Psychology, New York University, New York, NY, USA.ORCID 0000-0001-7100-5659
Jonathan WinawerDepartment of Psychology, New York University, New York, NY, USA.ORCID 0000-0001-7475-5586

Funding

Vision Core Grant- Design and Fabrication ModuleP30EY013079 · NEI · NEW YORK UNIVERSITY · PI ANGELAKI, DORA · 2000 to 2025
$14.2M
Linking brain and behavior 'around' the visual fieldR01EY027401 · NEI · NEW YORK UNIVERSITY · PI CARRASCO, MARISA, WINAWER, JONATHAN A · 2017 to 2025
$2.9M
CRCNS: Integrating gray and white matter data to understand the organization of human visual cortexR01EY033628 · NEI · UNIVERSITY OF WASHINGTON · PI Noah C Benson, JONATHAN A WINAWER · 2021 to 2026
$1.7M
Development of visual object recognitionR01EY031446 · NEI · NEW YORK UNIVERSITY · PI MAJAJ, NAJIB JUDEH · 2020 to 2023
$1.5M
Studying crowding as a window into object recognition and development and health of visual cortexR01EY027964 · NEI · NEW YORK UNIVERSITY · PI PELLI, DENIS G · 2018 to 2020
$1.2M
NEI NIH HHS P30 EY013079NEI NIH HHS R01 EY027401NEI NIH HHS R01 EY027964NEI NIH HHS R01 EY031446NEI NIH HHS R01 EY033628
6 · The paper itself

Abstract

Visual recognition is limited by both object size (acuity) and spacing. The spacing limit, called "crowding", is the failure to recognize an object in the presence of other objects. Here, we take advantage of individual differences in crowding to investigate its biological basis. Crowding distance, the minimum object spacing needed for recognition, varies 2-fold among healthy adults. We test the conjecture that this variation in psychophysical crowding distance is due to variation in cortical map size. To test this, we made paired measurements of brain and behavior in 50 observers. We used psychophysics to measure crowding distance and calculate

Identifiers

PMID38617271
PMCPMC11014589

What OpenQuestion holds

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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.