White matter microstructure and macrostructure brain charts across the human lifespan.
СтатьяПрепринтНазвание и аннотация: Перевод в очереди
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Kim Michael E, Gao Chenyu, Ramadass Karthik, Newlin Nancy R, Kanakaraj Praitayini, Bogdanov Sam, Rudravaram Gaurav, Archer Derek, Hohman Timothy J, Jefferson Angela L, Morgan Victoria L, Roche Alexandra, Englot Dario J, Resnick Susan M, Beason Held Lori L, Cutting Laurie, Barquero Laura A, D'archangel Micah A, Nguyen Tin Q, Humphreys Kathryn L, Niu Yanbin, Vinci-Booher Sophia, Cascio Carissa J, HABS-HD Study Team, Alzheimer’s Disease Neuroimaging Initiative, BIOCARD Study Team, Li Zhiyuan, Vandekar Simon N, Zhang Panpan, Gore John C, Landman Bennett A, Schilling Kurt G
Аннотация
Normative reference charts are widely used in healthcare, especially for assessing the development of individuals by benchmarking anatomic and physiological features against population trajectories across the lifespan. Recent work has extended this concept to gray matter morphology in the brain, but no such reference framework currently exists for white matter (WM) even though WM constitutes the essential substrate for neuronal communication and large-scale network integration. Here, we present the first comprehensive WM brain charts, which describe how microstructural and macrostructural features of WM evolve across the lifespan, by leveraging over 26,199 diffusion MRI scans from 42 harmonized studies. Using generalized additive models for location, scale, and shape (GAMLSS), we estimate age- and sex-stratified trajectories for 72 individual white matter pathways, quantifying both tract-specific microstructural and morphometric features. We demonstrate that these WM brain charts enable four important applications: (1) defining normative trajectories of WM maturation and decline across distinct pathways, (2) identifying previously uncharacterized developmental milestones and spatial gradients of tract maturation, (3) detecting individualized deviations from normative patterns with clinical relevance across multiple neurological disorders, and (4) facilitating standardized, cross-study centile scoring of new datasets. By establishing a unified, interpretable reference framework for WM structure, these brain charts provide a foundational metric for research and clinical neuroscience. The accompanying open-access trajectories, centile scoring tools, and harmonization methods facilitate precise mapping of WM development, aging, and pathology across diverse populations. We release the brain charts and provide an out-of-sample alignment process as a Docker image: https://zenodo.org/records/15367426.