Evidence map›Paper›PMID 39148711›Full record

ArticleiScience2024

Linking cortical surface area to computational properties in human visual perception.

Scott O Murray, Tamar Kolodny, Sara Jane Webb

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Visual field map size constrains working memory precision.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Scott O MurrayDepartment of Psychology, University of Washington, Seattle, WA 98195, USA.
Tamar KolodnyDepartment of Psychology and the School of Brain Sciences and Cognition, Ben-Gurion University, Beer Sheva, Israel.
Sara Jane WebbDepartment of Psychiatry and Behavioral Science, University of Washington, Seattle, WA 98195, USA.

Funding

Testing a computational model of neural responses in autismR01MH118847 · NIMH · UNIVERSITY OF WASHINGTON · PI MURRAY, SCOTT O, WEBB, SARA JANE · 2019 to 2023
$3.4M
Inhibitory dysfunction in autismR01MH106520 · NIMH · UNIVERSITY OF WASHINGTON · PI MURRAY, SCOTT O · 2015 to 2019
$2.7M
NIMH NIH HHS R01 MH106520NIMH NIH HHS R01 MH118847
6 · The paper itself

Abstract

Cortical structure and function are closely linked, shaping the neural basis of human behavior. This study explores how cortical surface area (SA), a structural feature, influences computational properties in human visual perception. Using a combination of psychophysical, neuroimaging, and computational modeling approaches, we find that variations in SA across the parietal and frontal cortices are linked to distinct behavioral patterns in a motion perception task. These differences in behavior correspond to specific parameters within a divisive normalization model, indicating a unique contribution of SA to the spatial organization of cortical circuitry. This work highlights the importance of cortical architecture in modifying computational processes that underlie perception, enhancing our understanding of how structural differences can influence neural function and behavior.

Indexed as

Biological sciencesCognitive neuroscienceNeuroscienceSensory neuroscience

Identifiers

PMID39148711
PMCPMC11325354

What OpenQuestion holds

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LicenceCC BY
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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.