Lifespan Trajectories of Asymmetry in White Matter Tracts.
Overview
and 14 other authors
Kathryn L. Humphreys10, Yanbin Niu10, Sophia Vinci‐Booher10, Carissa J. Cascio18, The HABS‐HD Study Team, Alzheimer's Disease Neuroimaging Initiative, The BIOCARD Study Team, Zhiyuan Li19, Simon N. Vandekar20, Panpan Zhang5,20, John C. Gore12,13,14, Stephanie J. Forkel21,22,23, Bennett A. Landman2,4,7,9,10,11,12,13,14,20, Kurt G. Schilling12,1323 affiliations
- Medical Scientist Training Program Vanderbilt University Nashville Tennessee USA
- Department of Computer Science Vanderbilt University Nashville Tennessee USA
- Department of Psychological Science and Neuroscience Belmont University Nashville Tennessee USA
- Department of Electrical and Computer Engineering Vanderbilt University Nashville Tennessee USA
- Vanderbilt Memory and Alzheimer's Center Vanderbilt University Medical Center Nashville Tennessee USA
- Vanderbilt Genetics Institute Vanderbilt University Medical Center Nashville Tennessee USA
- Vanderbilt Brain Institute Vanderbilt University Nashville Tennessee USA
- Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA
- Department of Neurology Vanderbilt University Medical Center Nashville Tennessee USA
- Department of Psychology and Human Development Vanderbilt University Nashville Tennessee USA
- Department of Psychiatry and Behavioral Sciences Vanderbilt University Medical Center Nashville Tennessee USA
- Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee USA
- Vanderbilt University Institute of Imaging Science Nashville Tennessee USA
- Department of Biomedical Engineering Vanderbilt University Nashville Tennessee USA
- Department of Neurological Surgery Vanderbilt University Medical Center Nashville Tennessee USA
- Laboratory of Behavioral Neuroscience National Institute on Aging, National Institutes of Health Baltimore Maryland USA
- Department of Special Education Peabody College of Education and Human Development Nashville Tennessee USA
- Life Span Institute and Department of Psychology University of Kansas Lawrence Kansas USA
- Department of Computer Science Park University Parkville Missouri USA
- Department of Biostatistics Vanderbilt University Medical Center Nashville Tennessee USA
- Donders Centre for Cognition Radboud University Nijmegen the Netherlands
- Max Planck Institute for Psycholinguistics Nijmegen the Netherlands
- Brain Connectivity and Behaviour Laboratory Paris France
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.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
No file of the authors' code could be read here: it is described below, and read at its source.
masilab/asymmetry
Availability: 1 check, the latest on 27 September 2026: the link is dead
- 27 September 2026: the link is dead
The paper's code and data availability statement is in the Data section.
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
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- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 0 scripts, each with its path and the digest of its content;
- no match between paragraphs and code yet;
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
Datasets cited
- openneuro:ds000030, at OpenNeuro; found in the acknowledgements
- openneuro:ds001894, at OpenNeuro; found in the acknowledgements
- openneuro:ds002785, at OpenNeuro; found in the acknowledgements
- openneuro:ds002790, at OpenNeuro; found in the acknowledgements
- openneuro:ds002843, at OpenNeuro; found in the acknowledgements
- openneuro:ds003097, at OpenNeuro; found in the acknowledgements
- openneuro:ds003416, at OpenNeuro; found in the acknowledgements
- openneuro:ds003604, at OpenNeuro; found in the acknowledgements
- openneuro:ds004146, at OpenNeuro; found in the acknowledgements
- openneuro:ds004856, at OpenNeuro; found in the acknowledgements
- openneuro:ds005123, at OpenNeuro; found in the acknowledgements
- osf:axz5r, at OSF; found in the acknowledgements
Data Availability Statement
Population curves for each pathway and each feature are in npy format and available on Zenodo [https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 34 authors, 6 keywords, 20 MeSH terms, 10 funders, 114 references.
Cite
This paper
Bogdanov, S., Kanakaraj, P., Kim, M. E., Samir, J., Gao, C., Ramadass, K., Rudravaram, G., Newlin, N. R., Archer, D., Hohman, T. J., Jefferson, A. L., Morgan, V. L., Roche, A., Englot, D. J., Resnick, S. M., Beason Held, L. L., Cutting, L. E., Barquero, L. A., D'Archangel, M. A., . . . Schilling, K. G. (2026). Lifespan Trajectories of Asymmetry in White Matter Tracts. Human brain mapping, 47(8), e70519. https://
BibTeX
@article{bogdanov2026lif
author = {Bogdanov, Sam and Kanakaraj, Praitayini and Kim, Michael E. and Samir, Jessica and Gao, Chenyu and Ramadass, Karthik and Rudravaram, Gaurav and Newlin, Nancy R. and Archer, Derek and Hohman, Timothy J. and Jefferson, Angela L. and Morgan, Victoria L. and Roche, Alexandra and Englot, Dario J. and Resnick, Susan M. and Beason Held, Lori L. and Cutting, Laurie E. and Barquero, Laura A. and D'Archangel, Micah A. and Nguyen, Tin Q. and Humphreys, Kathryn L. and Niu, Yanbin and Vinci‐Booher, Sophia and Cascio, Carissa J. and {The HABS‐HD Study Team} and {Alzheimer's Disease Neuroimaging Initiative} and {The BIOCARD Study Team} and Li, Zhiyuan and Vandekar, Simon N. and Zhang, Panpan and Gore, John C. and Forkel, Stephanie J. and Landman, Bennett A. and Schilling, Kurt G.},
title = {{Lifespan Trajectories of Asymmetry in White Matter Tracts}},
journal = {Human brain mapping},
year = {2026},
month = jun,
volume = {47},
number = {8},
pages = {e70519},
publisher = {Wiley},
issn = {1065-9471},
doi = {10.1002/
url = {https://
pmid = {42249731},
pmcid = {PMC13241809}
}
RIS
TY - JOUR
AU - Bogdanov, Sam
AU - Kanakaraj, Praitayini
AU - Kim, Michael E.
AU - Samir, Jessica
AU - Gao, Chenyu
AU - Ramadass, Karthik
AU - Rudravaram, Gaurav
AU - Newlin, Nancy R.
AU - Archer, Derek
AU - Hohman, Timothy J.
AU - Jefferson, Angela L.
AU - Morgan, Victoria L.
AU - Roche, Alexandra
AU - Englot, Dario J.
AU - Resnick, Susan M.
AU - Beason Held, Lori L.
AU - Cutting, Laurie E.
AU - Barquero, Laura A.
AU - D'Archangel, Micah A.
AU - Nguyen, Tin Q.
AU - Humphreys, Kathryn L.
AU - Niu, Yanbin
AU - Vinci‐Booher, Sophia
AU - Cascio, Carissa J.
AU - The HABS‐HD Study Team
AU - Alzheimer's Disease Neuroimaging Initiative
AU - The BIOCARD Study Team
AU - Li, Zhiyuan
AU - Vandekar, Simon N.
AU - Zhang, Panpan
AU - Gore, John C.
AU - Forkel, Stephanie J.
AU - Landman, Bennett A.
AU - Schilling, Kurt G.
TI - Lifespan Trajectories of Asymmetry in White Matter Tracts
T2 - Human brain mapping
J2 - Hum Brain Mapp
PY - 2026
DA - 2026/
VL - 47
IS - 8
SP - e70519
SN - 1065-9471
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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