Evidence map›Paper›PMID 35254148›Full record

ArticleJournal of child neurology2022

Associations Between White Matter Microstructures and Cognitive Functioning in 8-Year-Old Children: A Track-Weighted Imaging Study.

Rajikha Raja, Xiaoxu Na, Alexandra Moore, Raymond Otoo, Charles M Glasier, Thomas M Badger, Xiawei Ou

Open access · greenAbstract read
In one paragraph

Article in Journal of child neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Rajikha RajaDepartment of Radiology, 12215University of Arkansas for Medical Sciences.ORCID 0000-0001-8452-858X
Xiaoxu NaDepartment of Radiology, 12215University of Arkansas for Medical Sciences.ORCID 0000-0001-7714-1344
Alexandra MooreCollege of Medicine, 12215University of Arkansas for Medical Sciences.
Raymond OtooCollege of Medicine, 12215University of Arkansas for Medical Sciences.
Charles M GlasierDepartment of Radiology, 12215University of Arkansas for Medical Sciences.
Thomas M BadgerDepartment of Pediatrics, 12215University of Arkansas for Medical Sciences.
Xiawei OuDepartment of Radiology, 12215University of Arkansas for Medical Sciences.
University of Arkansas for Medical Sciences · USArkansas Children's Nutrition Center · US

Funding

Effects of maternal obesity and inflammation on offspring brain developmentR01HD099099 · NICHD · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI OU, XIAWEI · 2019 to 2023
$3.1M
NICHD NIH HHS R01 HD099099
6 · The paper itself

Abstract

purposeQuantitative tractography using diffusion-weighted magnetic resonance imaging data is widely used in characterizing white matter microstructure throughout childhood, but more studies are still needed to investigate comprehensive brain-behavior relationships between tract-specific white matter measures and multiple cognitive functions in children.

methodsIn this study, we analyzed diffusion-weighted MRI data of 71 healthy 8-year-old children utilizing white matter tract-specific quantitative measures derived from diffusion-weighted MRI tractography based on a novel track-weighted imaging approach. Track density imaging, average path length map and 4 track-weighted diffusion tensor imaging measures including: mean diffusivity, fractional anisotropy, axial diffusivity, and radial diffusivity were computed for 63 white matter tracts. The track-weighted imaging measures were then correlated with a comprehensive set of neuropsychological test scores in different cognitive domains including intelligence, language, memory, academic skills, and executive functions to identify tract-specific brain-behavior relationships.

resultsSignificant correlations (

conclusionOur findings demonstrate the ability of track-weighted imaging measures in establishing associations between white matter and cognitive functioning in healthy children and can serve as a reference for normal brain/cognition relationships in young school-age children and further aid in identifying imaging biomarkers predictive of adverse neurodevelopmental outcomes.

Indexed as

White MatterAnisotropyBrainChildCognitionDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumanschild brain developmentconstrained spherical deconvolution modeldiffusion-weighted MRItrack-weighted imagingtractography

Identifiers

PMID35254148
PMCPMC9149064
OpenAlexW4221005179

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.