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

Author:

Schilling Kurt G.12,Chad Jordan A.34,Chamberland Maxime5,Nozais Victor6,Rheault Francois7,Archer Derek89,Li Muwei12,Gao Yurui210,Cai Leon10,Del’Acqua Flavio11,Newton Allen12,Moyer Daniel1213,Gore John C.1210,Lebel Catherine144,Landman Bennett A.121213

Affiliation:

1. Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States

2. Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States

3. Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Canada

4. Department of Radiology, University of Calgary, Calgary, Canada

5. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

6. University of Bordeaux, CNRS, CEA, Bordeaux, France

7. Medical Imaging and Neuroinformatic (MINi) Lab, Department of Computer Science, University of Sherbrooke, Canada

8. Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, United States

9. Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States

10. Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

11. NatbrainLab, Department of Forensics and Neurodevelopmental Sciences, King’s College London, London, United Kingdom

12. Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States

13. Department of Computer Science, Vanderbilt University, Nashville, TN, United States

14. Alberta Children’s Hospital Research Institute (ACHRI), Calgary, Canada

Abstract

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 four large, high-quality, cross-sectional 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 differences at 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 are expected to be useful for studying normal and abnormal white matter development and degeneration.

Publisher

MIT Press

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