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Updated: Jan 30, 2026

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
Published on: August 26, 2014
Evolution of white matter tract microstructure across the life span
David A Slater1, Lester Melie-Garcia1, Martin Preisig2
1Laboratory of Research in Neuroimaging (LREN) - Department of Clinical Neurosciences - CHUV, University of Lausanne, Lausanne, Switzerland.
Brain white matter (WM) maturation shows significant nonlinear aging across life, with varying peak timing across regions and measures. This supports the "last-in-first-out" aging hypothesis and offers a baseline for studying brain disorders.
Area of Science:
- Neuroscience
- Human Lifespan Development
- Brain Imaging
Background:
- The human brain undergoes significant structural changes throughout life.
- Understanding white matter (WM) development and aging is crucial for cognitive health.
- Previous studies have indicated age-related changes in brain microstructure.
Purpose of the Study:
- To investigate tissue property dynamics across the human lifespan using advanced imaging techniques.
- To identify patterns of white matter maturation and aging.
- To test the 'last-in-first-out' retrogenesis hypothesis of aging.
Main Methods:
- Quantitative relaxometry and diffusion microstructure imaging applied to 801 individuals (aged 7-84).
- Diffusion tractography used to analyze white matter fascicles.
- Statistical analysis to identify nonlinear aging effects and correlational relationships.
Main Results:
- Significant nonlinear aging effects observed across various white matter tracts and tissue measures.
- Peak maturation timing varied considerably across different tissue measurements and tracts (heterochronicity).
- Strong correlation found between peak maturational timing and quadratic measurement differences, supporting the 'last-in-first-out' hypothesis for myelin-sensitive measures.
Conclusions:
- White matter maturation and aging are spatially heterogeneous and temporally varied across the lifespan.
- Multiple tissue measurements are essential for a comprehensive understanding of white matter aging.
- Findings provide a normative baseline for assessing developmental/degenerative disorders and investigating WM microstructure-cognition links.
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