Evidence map›Paper›PMID 37074446›Full record

ArticleBrain structure & function2023

Superficial white matter across development, young adulthood, and aging: volume, thickness, and relationship with cortical features.

Kurt G Schilling, Derek Archer, Francois Rheault, Ilwoo Lyu, Yuankai Huo, Leon Y Cai, Silvia A Bunge, Kevin S Weiner, John C Gore, Adam W Anderson and 1 more

Abstract read
In one paragraph

Article in Brain structure & function, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Spatiotemporal white-matter development across early childhood.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  2. Article
  3. Superficial white matter and gray matter jointly support cognition among older adults in India.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
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  11. Anchoring Functional Connectivity to Individual Sulcal Morphology Yields Insights in a Pediatric Study of Reasoning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Article
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  15. Review
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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

11 authors.

Kurt G SchillingDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA. kurt.g.schilling.1@vumc.org.
Derek ArcherVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Francois RheaultDepartment of Electrical Engineering and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Ilwoo LyuComputer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea.
Yuankai HuoDepartment of Electrical Engineering and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Leon Y CaiDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Silvia A BungeDepartment of Psychology, University of California at Berkeley, Berkeley, USA.
Kevin S WeinerDepartment of Psychology, University of California at Berkeley, Berkeley, USA.
John C GoreDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Bennett A LandmanDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
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
Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
Secondary analysis of functional MRI and resting state connectivity in white matterRF1MH123201 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C, LANDMAN, BENNETT A. · 2021 to 2021
$1.3M
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
Genetic Contributors to White Matter Microstructure in Aging and Alzheimer’s DiseaseK01AG073584 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ARCHER, DEREK B · 2021 to 2025
$601k
NCRR NIH HHS UL1 RR024975NIA NIH HHS K01 AG073584NIA NIH HHS L30 AG060964NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NIH HHS K01AG073584NIH HHS K01EB032898NIH HHS R01EB017230NIH HHS S10 OD021771NIMH NIH HHS RF1 MH123201
6 · The paper itself

Abstract

Superficial white matter (SWM) represents a significantly understudied part of the human brain, despite comprising a large portion of brain volume and making up a majority of cortico-cortical white matter connections. Using multiple, high-quality datasets with large sample sizes (N = 2421, age range 5-100) in combination with methodological advances in tractography, we quantified features of SWM volume and thickness across the brain and across development, young adulthood, and aging. We had four primary aims: (1) characterize SWM thickness across brain regions (2) describe associations between SWM volume and age (3) describe associations between SWM thickness and age, and (4) quantify relationships between SWM thickness and cortical features. Our main findings are that (1) SWM thickness varies across the brain, with patterns robust across individuals and across the population at the region-level and vertex-level; (2) SWM volume shows unique volumetric trajectories with age that are distinct from gray matter and other white matter trajectories; (3) SWM thickness shows nonlinear cross-sectional changes across the lifespan that vary across regions; and (4) SWM thickness is associated with features of cortical thickness and curvature. For the first time, we show that SWM volume follows a similar trend as overall white matter volume, peaking at a similar time in adolescence, leveling off throughout adulthood, and decreasing with age thereafter. Notably, the relative fraction of total brain volume of SWM continuously increases with age, and consequently takes up a larger proportion of total white matter volume, unlike the other tissue types that decrease with respect to total brain volume. This study represents the first characterization of SWM features across the large portion of the lifespan and provides the background for characterizing normal aging and insight into the mechanisms associated with SWM development and decline.

Indexed as

White MatterAdolescentAdultAgedAged, 80 and overAgingBrainChildChild, PreschoolCross-Sectional StudiesGray MatterHumansMagnetic Resonance ImagingMiddle AgedYoung AdultAgingDevelopmentLifespanSuperficial white matterTractographyU-fibers

Identifiers

PMID37074446
PMCPMC10320929

What OpenQuestion holds

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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.