Evidence map›Paper›PMID 41994472›Full record

ArticleNeuroimage. Reports2026

Tract-specific white matter microstructure associated with early cognitive development in infants.

Eun Soo Kim, Martin A Styner, Weili Lin, Jed T Elison, Sooyeon Sung, Mi Jung Kwon, Dae Young Yoon

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Article in Neuroimage. Reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Eun Soo KimDepartment of Radiology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Gyeonggi-do, Republic of Korea.
Martin A StynerDepartment of Psychiatry and Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, 27599-7160, USA.
Weili LinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Jed T ElisonInstitute of Child Development, University of Minnesota, Minneapolis, MN, USA.
Sooyeon SungGraduate School of Education, Kyung Hee University, Seoul, Republic of Korea.
Mi Jung KwonDepartment of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, 14068, Republic of Korea.
Dae Young YoonDepartment of Radiology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Early infancy is characterized by rapid and regionally specific changes in white matter microstructure, which can be quantified using diffusion tensor imaging (DTI). We examined whether diffusion-derived microstructural measures during early postnatal life are associated with emerging cognitive functions. Material and methods: Twenty-three infants from the UNC Brain Connectome Project underwent 3T MRI between 2 weeks and 3 months of age. Fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) were extracted from major white matter tracts using atlas-based tractography. Cognitive performance was assessed using the Mullen Scales of Early Learning (MSEL). Associations between tract-specific DTI metrics and cognitive scores were evaluated. Results: Tract-specific associations were observed between white matter microstructure and cognitive outcomes. Diffusion metrics in the corticothalamic tract and fornix were associated with gross and fine motor performance, while FA, AD, and RD in the optic tract and optic radiation were related to visual reception. Language measures were associated with diffusion properties of the arcuate and uncinate fasciculi. Several corpus callosum subdivisions also showed significant associations with early learning outcomes. Conclusion: These findings demonstrate that early postnatal white matter microstructure is selectively associated with emerging cognitive functions, supporting the utility of DTI for investigating brain-behavior relationships during early infancy.

Indexed as

Cognitive developmentDiffusion tensor imagingFractional anisotropyInfancyWhite matter

Identifiers

PMID41994472
PMCPMC13081175

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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.