Segmental abnormalities of white matter microstructure in multiple sclerosis and neuromyelitis optica spectrum

Yan Xie1, Shaolong Wu1, Houming Su1

  • 1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Abstract

Insights

Automated fiber quantification reveals extensive white matter damage in multiple sclerosis (MS) and limited damage in neuromyelitis optica spectrum disorders (NMOSD), highlighting differences in disease patterns.

Area of Science:

  • Neuroimaging
  • Neuroimmunology
  • White Matter Diseases

Background:

  • Multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) are distinct conditions causing white matter (WM) damage.
  • Understanding the specific patterns of WM fiber tract damage is crucial for diagnosis and treatment.

Purpose of the Study:

  • To differentiate WM microstructural damage patterns between relapsing-remitting MS (RRMS) and NMOSD.
  • To assess the utility of automated fiber quantification (AFQ) in detecting these differences.

Main Methods:

  • MRI scans were acquired from 41 RRMS patients, 30 NMOSD patients, and 30 healthy controls (HC).
  • Automated fiber quantification (AFQ) was employed to analyze 100 nodes along specific WM fiber tracts.
  • Diffusion tensor imaging (DTI) metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were quantified.

Main Results:

  • RRMS patients exhibited widespread decreases in FA and increases in MD, AD, and RD across multiple WM tracts.
  • NMOSD patients showed significant FA decreases in the left thalamic radiation and callosum forceps minor, and increased RD in the callosum forceps minor.
  • Pointwise comparisons revealed distinct patterns of FA reduction and diffusivity increases in RRMS compared to NMOSD, particularly in the inferior fronto-occipital and inferior longitudinal fasciculi.

Conclusions:

  • Automated fiber quantification (AFQ) is a sensitive technique for detecting WM microstructural abnormalities.
  • AFQ demonstrates extensive WM damage in RRMS and more limited, specific fiber tract damage in NMOSD.
  • These findings support AFQ as a valuable tool for distinguishing between RRMS and NMOSD.