Evaluation of white matter microstructure in patients with Parkinson's disease using microscopic fractional anisotropy

Neuroradiology. 2020 Feb;62(2):197-203. doi: 10.1007/s00234-019-02301-1. Epub 2019 Nov 4.

Abstract

Purpose: Micro fractional anisotropy (μFA) is more accurate than conventional fractional anisotropy (FA) for assessing microscopic tissue properties and can overcome limitations related to crossing white matter fibres. We compared μFA and FA for evaluating white matter changes in patients with Parkinson's disease (PD).

Methods: We compared FA and μFA measures between 25 patients with PD and 25 age- and gender-matched healthy controls using tract-based spatial statistics (TBSS) analysis. We also examined potential correlations between changes, revealed by conventional FA or μFA, and disease duration or Unified Parkinson's Disease Rating Scale (UPDRS)-III scores.

Results: Compared with healthy controls, patients with PD had significantly reduced μFA values, mainly in the anterior corona radiata (ACR). In the PD group, μFA values (primarily those from the ACR) were significantly negatively correlated with UPDRS-III motor scores. No significant changes or correlations with disease duration or UPDRS-III scores with tissue properties were detected using conventional FA.

Conclusion: μFA can evaluate microstructural changes that occur during white matter degeneration in patients with PD and may overcome a key limitation of FA.

Keywords: Anterior corona radiata; Diffusion tensor imaging; Microscopic fractional anisotropy; Parkinson’s disease.

MeSH terms

  • Aged
  • Anisotropy
  • Case-Control Studies
  • Diffusion Tensor Imaging*
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted
  • Male
  • Parkinson Disease / diagnostic imaging*
  • Parkinson Disease / pathology*
  • White Matter / ultrastructure*