Evidence map›Paper›PMID 33359342›Full record

ArticleNeuroImage2021

Myelin development in cerebral gray and white matter during adolescence and late childhood.

Neva M Corrigan, Vasily L Yarnykh, Daniel S Hippe, Julia P Owen, Elizabeth Huber, T Christina Zhao, Patricia K Kuhl

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 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  18. Age dependency of neurometabolite TMagnetic resonance in medicine · 2025
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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

7 authors at 1 institution in 1 country.

Neva M CorriganInstitute for Learning & Brain Sciences, University of Washington, Box 357988, Portage Bay Building, Seattle WA 98195, United States. Electronic address: nevao@uw.edu.
Vasily L YarnykhDepartment of Radiology, University of Washington, Seattle WA 98195, United States.
Daniel S HippeDepartment of Radiology, University of Washington, Seattle WA 98195, United States.
Julia P OwenDepartment of Radiology, University of Washington, Seattle WA 98195, United States.
Elizabeth HuberInstitute for Learning & Brain Sciences, University of Washington, Box 357988, Portage Bay Building, Seattle WA 98195, United States.
T Christina ZhaoInstitute for Learning & Brain Sciences, University of Washington, Box 357988, Portage Bay Building, Seattle WA 98195, United States.
Patricia K KuhlInstitute for Learning & Brain Sciences, University of Washington, Box 357988, Portage Bay Building, Seattle WA 98195, United States.
University of Washington · US

Funding

Quantitative myelin mapping in vivo for clinical and pre-clinical MRIR24NS104098 · NINDS · UNIVERSITY OF WASHINGTON · PI YARNYKH, VASILY L. · 2018 to 2021
$1.1M
Preclinical MRI of demyelination and remyelination in stroke at clinical field strengthR21NS109727 · NINDS · UNIVERSITY OF WASHINGTON · PI YARNYKH, VASILY L. · 2019 to 2019
$485k
NINDS NIH HHS R21 NS109727NINDS NIH HHS R24 NS104098
6 · The paper itself

Abstract

Myelin development during adolescence is becoming an area of growing interest in view of its potential relationship to cognition, behavior, and learning. While recent investigations suggest that both white matter (WM) and gray matter (GM) undergo protracted myelination during adolescence, quantitative relations between myelin development in WM and GM have not been previously studied. We quantitatively characterized the dependence of cortical GM, WM, and subcortical myelin density across the brain on age, gender, and puberty status during adolescence with the use of a novel macromolecular proton fraction (MPF) mapping method. Whole-brain MPF maps from a cross-sectional sample of 146 adolescents (age range 9-17 years) were collected. Myelin density was calculated from MPF values in GM and WM of all brain lobes, as well as in subcortical structures. In general, myelination of cortical GM was widespread and more significantly correlated with age than that of WM. Myelination of GM in the parietal lobe was found to have a significantly stronger age dependence than that of GM in the frontal, occipital, temporal and insular lobes. Myelination of WM in the temporal lobe had the strongest association with age as compared to WM in other lobes. Myelin density was found to be higher in males as compared to females when averaged across all cortical lobes, as well as in a bilateral subcortical region. Puberty stage was significantly correlated with myelin density in several cortical areas and in the subcortical GM. These findings point to significant differences in the trajectories of myelination of GM and WM across brain regions and suggest that cortical GM myelination plays a dominant role during adolescent development.

Indexed as

Myelin SheathAdolescentAdolescent DevelopmentBrainBrain MappingChildCross-Sectional StudiesFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleWhite MatterAdolescent brainCortical myelinationMacromolecular proton fraction mappingMyelinWhite matter myelination

Identifiers

PMID33359342
PMCPMC8214999
OpenAlexW3116833224

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.