Evidence map›Paper›PMID 34358657›Full record

ArticleNeuroImage2021

Neurobiological underpinnings of rapid white matter plasticity during intensive reading instruction.

Elizabeth Huber, Aviv Mezer, Jason D Yeatman

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  5. Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. An Eccentricity Gradient Reversal across High-Level Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. White matter and literacy: A dynamic system in flux.Developmental cognitive neuroscience · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
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

3 authors at 3 institutions in 2 countries.

Elizabeth HuberInstitute for Learning and Brain Sciences and Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA. Electronic address: ehuber@uw.edu.
Aviv MezerEdmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Jason D YeatmanGraduate School of Education, Stanford University, Stanford, CA 94305, USA; Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA 95305, USA.
Hebrew University of Jerusalem · ILStanford University · USUniversity of Washington · US

Funding

Neural mechanisms of successful intervention in children with dyslexiaR01HD095861 · NICHD · STANFORD UNIVERSITY · PI YEATMAN, JASON D · 2019 to 2024
$3.1M
Biological origins of literacyR21HD092771 · NICHD · UNIVERSITY OF WASHINGTON · PI KUHL, PATRICIA K, YEATMAN, JASON D · 2018 to 2019
$435k
NICHD NIH HHS R01 HD095861NICHD NIH HHS R21 HD092771
6 · The paper itself

Abstract

Diffusion MRI is a powerful tool for imaging brain structure, but it is challenging to discern the biological underpinnings of plasticity inferred from these and other non-invasive MR measurements. Biophysical modeling of the diffusion signal aims to render a more biologically rich image of tissue microstructure, but the application of these models comes with important caveats. A separate approach for gaining biological specificity has been to seek converging evidence from multi-modal datasets. Here we use metrics derived from diffusion kurtosis imaging (DKI) and the white matter tract integrity (WMTI) model along with quantitative MRI measurements of T1 relaxation to characterize changes throughout the white matter during an 8-week, intensive reading intervention (160 total hours of instruction). Behavioral measures, multi-shell diffusion MRI data, and quantitative T1 data were collected at regular intervals during the intervention in a group of 33 children with reading difficulties (7-12 years old), and over the same period in an age-matched non-intervention control group. Throughout the white matter, mean 'extra-axonal' diffusivity was inversely related to intervention time. In contrast, model estimated axonal water fraction (AWF), overall diffusion kurtosis, and T1 relaxation time showed no significant change over the intervention period. Both diffusion and quantitative T1 based metrics were correlated with pre-intervention reading performance, albeit with distinct anatomical distributions. These results are consistent with the view that rapid changes in diffusion properties reflect phenomena other than widespread changes in myelin density. We discuss this result in light of recent work highlighting non-axonal factors in experience-dependent plasticity and learning.

Indexed as

ReadingChildDiffusion Tensor ImagingDyslexia, AcquiredFemaleHumansMaleMyelin SheathNeuronal PlasticityWhite MatterDiffusion MRIPlasticityQuantitative MRIReadingWhite matter modeling

Identifiers

PMID34358657
PMCPMC9208315
OpenAlexW3190242846

What OpenQuestion holds

Textmetadata
LicenceTDM
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.