Evidence map›Paper›PMID 41646418›Full record

ArticleResearch square2026

The average does not represent the individual: White matter variability across the brain, across the population, and across the lifespan.

Kurt G Schilling, Lilit Dulyan, Eva Guzmán Chacón, Matthew Amandola, Michael Kim, Bennett A Landman, Stephanie J Fokel

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0003-3686-7645
Lilit DulyanDonders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0002-8652-7828
Eva Guzmán ChacónDonders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.ORCID 0009-0008-4813-2316
Matthew AmandolaVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0009-0005-3445-6326
Michael KimDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States; Department of Electrical Engineering and Computer Engineering, Vanderbilt University, Nashville, TN, USA.ORCID 0009-0006-3562-2688
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States; Department of Electrical Engineering and Computer Engineering, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0001-5733-2127
Stephanie J FokelDonders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0003-0493-0283

Funding

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
NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537
6 · The paper itself

Abstract

Inter-individual differences in brain anatomy are often treated as noise, yet may encode meaningful principles of organisation. Using >2,800 diffusion MRI scans spanning 0-100 years, we quantified spatial, microstructural and macrostructural variability across 64 major white-matter pathways. Variability is not random: spatial organisation follows a deep-to-superficial gradient, and variability across individuals shows a convergence-divergence profile, decreasing in early development and increasing in ageing. Microstructural and macrostructural features exhibit distinct trajectories and hemispheric asymmetries. Importantly, tract variability relates to individual differences in behaviour, most strongly during development. These results redefine white-matter variability as a structured, developmentally dynamic, lifespan-dependent feature of brain organisation and provide a foundation for normative modelling and precision neuroscience.

Indexed as

agingcognitiondevelopmentneurovariabilitywhite matter

Identifiers

PMID41646418
PMCPMC12869595

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Registered trials

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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.