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Imaging NeuroscienceNeurosciencePeer-reviewed journal article

White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan

Kurt G. SchillingiD, Jordan A. ChadiD, Maxime ChamberlandiD, Victor NozaisiD, François RheaultiD, Derek B. ArcheriD, Muwei LiiD, Yurui GaoiD, Leon Y. CaiiD, Flavio Del’Acqua, Allen T. NewtoniD, Daniel MoyeriD, John C. GoreiD, Catherine A. LebeliD, Bennett A. LandmaniD

PDFDOIPreprint

Abstract

Characterizing how, when and where the human brain changes across the lifespan is fundamental to our understanding of developmental processes of childhood and adolescence, degenerative processes of aging, and divergence from normal patterns in disease and disorders. We aimed to provide detailed descriptions of white matter pathways across the lifespan by thoroughly characterizing white matter microstructure, white matter macrostructure, and morphology of the cortex associated with white matter pathways. We analyzed 4 large, high-quality, publicly-available datasets comprising 2789 total imaging sessions, and participants ranging from 0 to 100 years old, using advanced tractography and diffusion modeling. We first find that all microstructural, macrostructural, and cortical features of white matter bundles show unique lifespan trajectories, with rates and timing of development and degradation that vary across pathways - describing differences between types of pathways and locations in the brain, and developmental milestones of maturation of each feature. Second, we show cross-sectional relationships between different features that may help elucidate biological changes occurring during different stages of the lifespan. Third, we show unique trajectories of age-associations across features. Finally, we find that age associations during development are strongly related to those during aging. Overall, this study reports normative data for several features of white matter pathways of the human brain that will be useful for studying normal and abnormal white matter development and degeneration.

Citations
35
FWCI
5.80
Field percentile
top 3%

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Kurt G. Schilling, Derek B. Archer, Fang-Cheng F. Yeh+14 more·bioRxiv·Feb 10, 2022· 10 citations