Evidence map›Paper›PMID 34487405›Full record

ArticleHuman brain mapping2021

Development of the visual white matter pathways mediates development of electrophysiological responses in visual cortex.

Sendy Caffarra, Sung Jun Joo, David Bloom, John Kruper, Ariel Rokem, Jason D Yeatman

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

17 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  10. Article
  11. Development of the Alpha Rhythm Is Linked to Visual White Matter Pathways and Visual Detection Performance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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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

6 authors at 4 institutions in 4 countries.

Sendy CaffarraDivision of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-3667-5061
Sung Jun JooDepartment of Psychology, Pusan National University, Pusan, Republic of Korea.
David BloomDepartment of Psychology, University of Washington, Seattle, Washington.
John KruperDepartment of Psychology, University of Washington, Seattle, Washington.
Ariel RokemDepartment of Psychology, University of Washington, Seattle, Washington.
Jason D YeatmanDivision of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, California.
University of Washington · USPalo Alto University · USPusan National University · KRUniversity of Modena and Reggio Emilia · IT

Funding

Neural mechanisms of successful intervention in children with dyslexiaR01HD095861 · NICHD · STANFORD UNIVERSITY · PI YEATMAN, JASON D · 2019 to 2024
$3.1M
A data science toolbox for analysis of Human Connectome Project diffusion MRIRF1MH121868 · NIMH · UNIVERSITY OF WASHINGTON · PI ROKEM, ARIEL SHALOM · 2019 to 2019
$707k
Biological origins of literacyR21HD092771 · NICHD · UNIVERSITY OF WASHINGTON · PI KUHL, PATRICIA K, YEATMAN, JASON D · 2018 to 2019
$435k
Marie Curie 837228NICHD NIH HHS R01 HD095861NICHD NIH HHS R01HD09586101NICHD NIH HHS R21 HD092771NICHD NIH HHS R21HD092771NIH HHS RF1MH121868-01NIMH NIH HHS RF1 MH121868
6 · The paper itself

Abstract

The latency of neural responses in the visual cortex changes systematically across the lifespan. Here, we test the hypothesis that development of visual white matter pathways mediates maturational changes in the latency of visual signals. Thirty-eight children participated in a cross-sectional study including diffusion magnetic resonance imaging (MRI) and magnetoencephalography (MEG) sessions. During the MEG acquisition, participants performed a lexical decision and a fixation task on words presented at varying levels of contrast and noise. For all stimuli and tasks, early evoked fields were observed around 100 ms after stimulus onset (M100), with slower and lower amplitude responses for low as compared to high contrast stimuli. The optic radiations and optic tracts were identified in each individual's brain based on diffusion MRI tractography. The diffusion properties of the optic radiations predicted M100 responses, especially for high contrast stimuli. Higher optic radiation fractional anisotropy (FA) values were associated with faster and larger M100 responses. Over this developmental window, the M100 responses to high contrast stimuli became faster with age and the optic radiation FA mediated this effect. These findings suggest that the maturation of the optic radiations over childhood accounts for individual variations observed in the developmental trajectory of visual cortex responses.

Indexed as

Diffusion Tensor ImagingMagnetoencephalographyChildCross-Sectional StudiesEvoked PotentialsFemaleHumansMaleVisual CortexVisual PathwaysWhite Matterchildhooddiffusion MRIMEGtractographyvisual system

Identifiers

PMID34487405
PMCPMC8559498
OpenAlexW3198759222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.