4.7 Article

Evolution of white matter tract microstructure across the life span

Journal

HUMAN BRAIN MAPPING
Volume 40, Issue 7, Pages 2252-2268

Publisher

WILEY
DOI: 10.1002/hbm.24522

Keywords

aging; degeneration; development; intracellular volume fraction (ICVF); iron; life span; longitudinal (R1) and transverse (R2*) relaxation rates; mean diffusivity (MD); MRI; myelin; quantitative magnetic resonance imaging (qMRI); tractography; white matter

Funding

  1. Fondation Leenaards
  2. Swiss National Science Foundation [32003B_159780, 33CS30-148401, 33CS30-139468, 33CSCO-122661, 3200B0-118308, 3200B0-105993]
  3. GlaxoSmithKline
  4. European Union [720270]
  5. Roger De Spoelberch Foundation
  6. Partridge Foundation
  7. Swiss National Science Foundation (SNF) [32003B_159780] Funding Source: Swiss National Science Foundation (SNF)

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The human brain undergoes dramatic structural change over the life span. In a large imaging cohort of 801 individuals aged 7-84 years, we applied quantitative relaxometry and diffusion microstructure imaging in combination with diffusion tractography to investigate tissue property dynamics across the human life span. Significant nonlinear aging effects were consistently observed across tracts and tissue measures. The age at which white matter (WM) fascicles attain peak maturation varies substantially across tissue measurements and tracts. These observations of heterochronicity and spatial heterogeneity of tract maturation highlight the importance of using multiple tissue measurements to investigate each region of the WM. Our data further provide additional quantitative evidence in support of the last-in-first-out retrogenesis hypothesis of aging, demonstrating a strong correlational relationship between peak maturational timing and the extent of quadratic measurement differences across the life span for the most myelin sensitive measures. These findings present an important baseline from which to assess divergence from normative aging trends in developmental and degenerative disorders, and to further investigate the mechanisms connecting WM microstructure to cognition.

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