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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3