Evidence map›Paper›PMID 39367101›Full record

ArticleCommunications biology2024

Distinct visual processing networks for foveal and peripheral visual fields.

Jie Zhang, Huihui Zhou, Shuo Wang

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jie ZhangDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA. zjie@wustl.edu.ORCID 0000-0002-1464-8639
Huihui Zhou *Peng Cheng Laboratory, Shenzhen, 518000, China. zhouhh@pcl.ac.cn.ORCID 0000-0002-0747-1943
Shuo Wang *Department of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA. shuowang@wustl.edu.ORCID 0000-0003-2562-0225

Funding

Model-Based Investigation of Aberrant Neural Face Representation in AutismR01MH129426 · NIMH · WASHINGTON UNIVERSITY · PI Shuo Wang · 2022 to 2026
$1.9M
NIMH NIH HHS R01 MH129426NSF | Directorate for Social, Behavioral and Economic Sciences (Directorate for Social, Behavioral & Economic Sciences) BCS-1945230U.S. Department of Defense (United States Department of Defense) FA9550-21-1-0088U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH129426
6 · The paper itself

Abstract

Foveal and peripheral vision are two distinct modes of visual processing essential for navigating the world. However, it remains unclear if they engage different neural mechanisms and circuits within the visual attentional system. Here, we trained macaques to perform a free-gaze visual search task using natural face and object stimuli and recorded a large number of 14588 visually responsive units from a broadly distributed network of brain regions involved in visual attentional processing. Foveal and peripheral units had substantially different proportions across brain regions and exhibited systematic differences in encoding visual information and visual attention. The spike-local field potential (LFP) coherence of foveal units was more extensively modulated by both attention and visual selectivity, thus indicating differential engagement of the attention and visual coding network compared to peripheral units. Furthermore, we delineated the interaction and coordination between foveal and peripheral processing for spatial attention and saccade selection. Together, the systematic differences between foveal and peripheral processing provide valuable insights into how the brain processes and integrates visual information from different regions of the visual field.

Indexed as

AttentionFovea CentralisMacaca mulattaVisual FieldsAnimalsMalePhotic StimulationSaccadesVisual PathwaysVisual Perception

Identifiers

PMID39367101
PMCPMC11452663

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.