Evidence map›Paper›PMID 30927705›Full record

ArticleDevelopmental cognitive neuroscience2019

Applying microstructural models to understand the role of white matter in cognitive development.

Elizabeth Huber, Rafael Neto Henriques, Julia P Owen, Ariel Rokem, Jason D Yeatman

Open access · goldAbstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  5. 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
  6. Article
  7. Article
  8. A role for the fornix in temporal sequence memory.The European journal of neuroscience · 2023
    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

5 authors at 2 institutions in 2 countries.

Elizabeth HuberInstitute for Learning & Brain Sciences and Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, 98195, United States. Electronic address: ehuber@uw.edu.
Rafael Neto HenriquesChampalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.
Julia P OwenDepartment of Radiology, University of Washington, Seattle, WA, 98195, United States.
Ariel RokemeScience Institute, University of Washington, Seattle, WA, 98195, United States.
Jason D YeatmanInstitute for Learning & Brain Sciences and Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, 98195, United States.
University of Washington · USChampalimaud Foundation · PT

Funding

Intellectual and Developmental Disabilities Research CenterU54HD083091 · NICHD · UNIVERSITY OF WASHINGTON · PI GURALNICK, MICHAEL J · 2014 to 2019
$7.9M
CRCNS: Community-supported open-source software for computational neuroanatomyR01EB027585 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI Eleftherios Garyfallidis · 2018 to 2026
$2.6M
NIBIB NIH HHS R01 EB027585NICHD NIH HHS U54 HD083091
6 · The paper itself

Abstract

Diffusion MRI (dMRI) holds great promise for illuminating the biological changes that underpin cognitive development. The diffusion of water molecules probes the cellular structure of brain tissue, and biophysical modeling of the diffusion signal can be used to make inferences about specific tissue properties that vary over development or predict cognitive performance. However, applying these models to study development requires that the parameters can be reliably estimated given the constraints of data collection with children. Here we collect repeated scans using a typical multi-shell diffusion MRI protocol in a group of children (ages 7-12) and use two popular modeling techniques to examine individual differences in white matter structure. We first assess scan-rescan reliability of model parameters and show that axon water faction can be reliably estimated from a relatively fast acquisition, without applying spatial smoothing or de-noising. We then investigate developmental changes in the white matter, and individual differences that correlate with reading skill. Specifically, we test the hypothesis that previously reported correlations between reading skill and diffusion anisotropy in the corpus callosum reflect increased axon water fraction in poor readers. Both models support this interpretation, highlighting the utility of these approaches for testing specific hypotheses about cognitive development.

Indexed as

ReadingBrainChildCognitionFemaleHumansMagnetic Resonance ImagingMaleWhite MatterDevelopmentDiffusion MRIDyslexiaReading

Identifiers

PMID30927705
PMCPMC6969248
OpenAlexW2913612087

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.