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White matter trajectories over the lifespan.
Stefania Conte1, Dabriel Zimmerman2, John E Richards3
1Department of Psychology, State University of New York at Binghamton, Vestal, NY, United States of America.
Plos One
|May 17, 2024
Summary
White matter volume and microstructural properties change nonlinearly across the lifespan. These developmental trajectories vary by age, sex, hemisphere, and specific white matter metric.
Area of Science:
- Neuroscience
- Developmental Biology
- Radiology
Background:
- White matter (WM) undergoes significant changes throughout human development and aging.
- Understanding these age-related WM alterations is crucial for diagnosing neurological disorders and assessing brain health.
Purpose of the Study:
- To investigate age-related changes in white matter (WM) macro- and microstructural properties across the entire lifespan.
- To model the trajectories of these changes using various mathematical functions.
- To explore the influence of biological sex and hemispheric differences on WM development.
Main Methods:
- Aggregated 10,879 structural and 6,186 diffusion-weighted MRI scans from individuals aged 2 weeks to 100 years.
- Analyzed brain-wide and tract-specific WM partial volumes and microstructural properties (FA, MD).
- Fitted linear, quadratic, cubic, and exponential models to characterize age-related WM changes.
Main Results:
- WM volume increases steeply in infancy/childhood, then slows in adulthood and declines with aging.
- Microstructural properties like fractional anisotropy (FA) and mean diffusivity (MD) exhibit independent nonlinear trajectories across the lifespan.
- Age-related WM changes, including FA increase and MD decrease, show sex and hemispheric modulations, particularly in association tracts.
Conclusions:
- White matter macro- and microstructural changes follow nonlinear, age-dependent trajectories throughout life.
- Exponential changes characterize early-life WM development (first five years) for volume, FA, and MD.
- This lifespan approach offers novel insights into dynamic WM alterations and their influencing factors.
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