Evidence map›Paper›PMID 42249731›Full record

ArticleHuman brain mapping2026

Lifespan Trajectories of Asymmetry in White Matter Tracts.

Sam Bogdanov, Praitayini Kanakaraj, Michael E Kim, Jessica Samir, Chenyu Gao, Karthik Ramadass, Gaurav Rudravaram, Nancy R Newlin, Derek Archer, Timothy J Hohman and 24 more

Abstract read
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Individual differences in speech monitoring: Functional and structural correlates of delayed auditory feedback.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Sam BogdanovMedical Scientist Training Program, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0001-7766-4217
Praitayini KanakarajDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Michael E KimDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Jessica SamirDepartment of Psychological Science and Neuroscience, Belmont University, Nashville, Tennessee, USA.
Chenyu GaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Karthik RamadassDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Gaurav RudravaramDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Nancy R NewlinDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Derek ArcherVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Timothy J HohmanVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Angela L JeffersonVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Victoria L MorganDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alexandra RocheVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Dario J EnglotDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Lori L Beason HeldLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Laurie E CuttingVanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA.
Laura A BarqueroDepartment of Special Education, Peabody College of Education and Human Development, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-4279-3745
Micah A D'ArchangelDepartment of Special Education, Peabody College of Education and Human Development, Nashville, Tennessee, USA.
Tin Q NguyenVanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA.
Kathryn L HumphreysDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-5715-6597
Yanbin NiuDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee, USA.
Sophia Vinci-BooherDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee, USA.
Carissa J CascioLife Span Institute and Department of Psychology, University of Kansas, Lawrence, Kansas, USA.
HABS‐HD Study Team
Alzheimer's Disease Neuroimaging Initiative
BIOCARD Study Team
Zhiyuan LiDepartment of Computer Science, Park University, Parkville, Missouri, USA.
Simon N VandekarDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Panpan ZhangVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-8211-5930
John C GoreDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Stephanie J ForkelDonders Centre for Cognition, Radboud University, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0003-0493-0283
Bennett A LandmanDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Kurt G SchillingDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-3686-7645

Funding

National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
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
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Risk Factors for Cognitive Decline in African-AmericansR01AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2004 to 2025
$18.2M
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
Cognitive and Neural Processes in Reading ComprehensionR01HD044073 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2004 to 2019
$8.1M
Early Academic Achievement and Intervention Response: Role of Executive FunctionR37HD095519 · NICHD · VANDERBILT UNIVERSITY · PI Laurie E Cutting · 2018 to 2026
$5.1M
Alzheimer's Association IIRG-08-88733Child Mind InstituteDonders Mohrmann Fellowship 2401515National Institute of Child Health and Human Development R01HD055741-01National Institute of Child Health and Human Development RC2DA029475-01Nederlandse Organisatie voor Wetenschappelijk OnderzoekNIA NIH HHS P30 AG066507NIA NIH HHS P30AG072975NIA NIH HHS P30AG10161NIA NIH HHS R01AG017917NIA NIH HHS R01AG022018NIA NIH HHS R01-AG034962NIA NIH HHS R01-AG056534NIA NIH HHS R01 AG059716NIA NIH HHS R01-AG062826NIA NIH HHS U01 AG068057NIA NIH HHS U24 AG074855NICHD NIH HHS P50 HD103537NICHD NIH HHS R01 HD044073NICHD NIH HHS R01 HD067254NICHD NIH HHS R01 HD089474NICHD NIH HHS R37 HD095519NIDA NIH HHS U01 DA055347NIGMS NIH HHS T32GM007347NIGMS NIH HHS T32GM152284NIH HHS 1R01EB017230-01A1NIH HHS 1S10OD020154-01NIH HHS 1S10OD021771-01NIH HHS 1S10OD023680-01NIH HHS K01-AG073584NIH HHS K01-EB032898NIH HHS K24-AG046373NIH HHS U01-AG024904NIH HHS U24 AG072122NIMH NIH HHS BRAINS R01MH094639-01NIMH NIH HHS R01MH129634NINDS NIH HHS R01 NS108445NINDS NIH HHS R01 NS110130Vanderbilt University UL1-TR000445Vanderbilt University UL1-TR002243Vanderbilt University VR3029Vanderbilt University VR53419
6 · The paper itself

Abstract

Asymmetry in white matter is believed to give rise to the brain's capacity for specialized processing and is involved in the lateralization of various cognitive processes, such as language and visuo-spatial reasoning. Although studies of white matter asymmetry have been previously documented, they have often been constrained by limited age ranges, sample sizes, or the scope of the tracts and structural features examined. While normative lifespan charts for brain structures are emerging, comprehensive charts detailing white matter asymmetries across numerous pathways and diverse structural measures have been notably absent. This study addresses this gap by leveraging a large-scale dataset of 35,120 typically developing and aging individuals, ranging from 0 to 100 years of age, from 50 primary neuroimaging studies. We generated comprehensive lifespan trajectories for 30 lateralized association and projection white matter tracts, examining six distinct microstructural and macrostructural features of these pathways. Our findings reveal that: (1) asymmetries are widespread across the brain's white matter and are present in all 30 pathways; (2) for a given pathway, the degree and direction of asymmetry differ between features of tissue microstructure and pathway macrostructure; (3) asymmetries vary across and within pathway types (association and projection tracts); and (4) these asymmetries are not static, following unique trajectories across the lifespan, with distinct changes during development, and a general trend of becoming more asymmetric with increasing age (particularly in later adulthood) across pathways. This study represents the most extensive characterization of white matter asymmetry across the lifespan to date, charting how lateralization patterns emerge, mature, and change throughout life. It provides a foundational resource for understanding the principles of white matter organization from early to late life, its relation to functional specialization and inter-individual variability, and offers a key reference for interpreting deviations during healthy development and aging as well as those associated with clinical populations.

Indexed as

AgingBrainFunctional LateralityHuman DevelopmentWhite MatterAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDiffusion Tensor ImagingFemaleHumansInfantInfant, Newbornasymmetrydiffusion MRIlateralizationlifespan developmenttractographywhite matter

Identifiers

PMID42249731
PMCPMC13241809

What OpenQuestion holds

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LicenceCC BY
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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.