Fiber-specific age-related differences in the white matter of healthy adults uncovered by fixel-based analysis

Ana Han1, Thijs Dhollander2, Yutong L Sun3

  • 1Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.

PubMed

Insights

Aging selectively impacts specific white matter (WM) fiber populations, even when overall fractional anisotropy (FA) remains unchanged. Fixel-based analysis reveals subtle, fiber-specific age-related changes in the brain.

Area of Science:

  • Neuroimaging
  • Neuroscience
  • Aging Research

Background:

  • Diffusion MRI is commonly used to study white matter (WM) aging.
  • Conventional voxel-based analysis using fractional anisotropy (FA) may miss age-related microstructural changes.
  • FA conflates multiple fiber populations within a voxel, limiting detection of fiber-specific alterations.

Purpose of the Study:

  • To investigate age associations within individual white matter fiber populations using fixel-based analysis (FBA).
  • To determine if age-related degeneration affects specific fiber tracts independently of overall FA changes.

Main Methods:

  • Utilized fixel-based analysis (FBA) on diffusion MRI data from 541 healthy adults (aged 36-100 years).
  • Examined age associations for individual fiber populations (fixels) within complex white matter architectures.
  • Compared findings with conventional voxel-based analysis relying on fractional anisotropy (FA).

Main Results:

  • Identified significant age associations in fixel-based measures for individual fiber populations.
  • Demonstrated that different crossing fiber populations exhibit distinct age-related changes.
  • Observed selective degeneration in specific intravoxel white matter fibers that did not alter overall FA.

Conclusions:

  • Fixel-based analysis provides a more sensitive approach to detecting age-related white matter degeneration than traditional methods.
  • Selective degeneration of specific fiber populations occurs during aging, potentially independent of changes in overall FA.
  • These findings highlight the importance of analyzing individual fiber tracts for a comprehensive understanding of brain aging.

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