Evidence map›Paper›PMID 40490429›Full record

ArticleHuman brain mapping2025

Microstructural Characterization of Short Association Fibers Related to Long-Range White Matter Tracts in Normative Development.

Chloe Cho, Maxime Chamberland, Francois Rheault, Daniel Moyer, Bennett A Landman, Kurt G Schilling

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Modeling a Shared Reality of Tractography through Varied Structural Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    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

6 authors.

Chloe ChoDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0001-5114-001X
Maxime ChamberlandDepartment of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, the Netherlands.ORCID 0000-0001-7064-0984
Francois RheaultMedical Imaging and Neuroinformatic (MINi) lab, Department of Computer Science, University of Sherbrooke, Canada.ORCID 0000-0002-0097-8004
Daniel MoyerDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0003-4428-5012
Bennett A LandmanDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0001-5733-2127
Kurt G SchillingDepartment of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0003-3686-7645

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
6/6 HBCD Prenatal Experiences and Longitudinal Development (PRELUDE) Consortium VanderbiltU01DA055347 · NIDA · VANDERBILT UNIVERSITY · PI Laurie E Cutting, Sarah Scheiderich Osmundson · 2021 to 2026
$12.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
High-Performance Computer Cluster for Biomedical ResearchS10OD023680 · OD · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2017 to 2017
$587k
National Science Foundation 1452485NCATS NIH HHS UL1 TR002243NIA NIH HHS U24 AG074855NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NIDA NIH HHS U01 DA055347NIGMS NIH HHS T32 GM007347NIH HHS K01EB032898NIH HHS P50HD103537NIH HHS R01EB017230NIH HHS S10 OD023680NIH HHS S10OD023680NIH HHS T32GM007347NIH HHS U01DA055347NIH HHS U24AG074855NIH HHS UL1TR002243
6 · The paper itself

Abstract

Short association fibers (SAFs) in the superficial white matter play a key role in mediating local cortical connections but have not been well-studied as innovations in whole-brain diffusion tractography have only recently been developed to study superficial white matter. Characterizing SAFs and their relationship to long-range white matter tracts is crucial to advance our understanding of neurodevelopment during the period from childhood to young adulthood. This study aims to (1) map SAFs in relation to long-range white matter tracts, (2) characterize typical neurodevelopmental changes across these white matter pathways, and (3) investigate the relationship between microstructural changes in SAFs and long-range white matter tracts. Leveraging a cohort of 616 participants ranging in age from 5.6 to 21.9 years old, we performed quantitative diffusion tractography and advanced diffusion modeling with diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Robust linear regression models were applied to analyze microstructural features, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI). Our results reveal that both SAFs and long-range tracts exhibit similar overall developmental patterns, characterized by negative associations of MD, AD, and RD with age and positive associations of FA, ICVF, ISOVF, and ODI with age. Notably, FA, AD, and ODI exhibit significant differences between SAFs and long-range tracts, suggesting distinct neurodevelopmental trajectories between superficial and deep white matter. In addition, significant differences were found in MD, RD, and ICVF between males and females, highlighting variations in neurodevelopment. This normative study provides insights into typical microstructural changes of SAFs and long-range white matter tracts during development, laying a foundation for future research to investigate atypical development and dysfunction in disease pathology.

Indexed as

BrainWhite MatterAdolescentAdultChildChild, PreschoolDiffusion Tensor ImagingFemaleHumansMaleYoung Adultdiffusion MRImicrostructureneuro‐developmentsuperficial white mattertractography

Identifiers

PMID40490429
PMCPMC12148645

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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.