The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis

Eszter Tóth1, Péter Faragó1, András Király1

  • 1Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.

Frontiers in Neurology
|February 8, 2019
PubMed

Insights

Multiparametric MRI reveals key predictors of multiple sclerosis (MS) disability. Normal-appearing white matter diffusion and hippocampal volume significantly correlate with clinical and cognitive impairments in MS patients.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Cognitive dysfunction is a common feature of multiple sclerosis (MS).
  • While MRI measures have advanced, their precise contribution to clinical and cognitive deficits in MS remains unclear.
  • Understanding these relationships is crucial for predicting disability progression.

Purpose of the Study:

  • To identify MRI parameters that best predict clinical and cognitive disability in MS.
  • To investigate the contribution of various MRI measures, including structural and diffusion parameters, to MS-related impairments.

Main Methods:

  • A multiparametric MRI study involving 53 relapsing-remitting MS patients and 53 healthy controls.
  • High-resolution T1-weighted structural and high angular resolution diffusion MRI were acquired.
  • Clinical disability (EDSS) and cognitive functions (BICAMS) were assessed; data analyzed using partial least squares (PLS).

Main Results:

  • Axial diffusivity in normal-appearing white matter (NAWM) was the strongest predictor of clinical disability (VIP: 1.979).
  • Hippocampal volume predicted visuo-spatial working memory (VIP: 1.183-1.2), while verbal memory was influenced by right hippocampus size, lesion load, and brain volume (VIP: 1.972, 1.274, 1.119).
  • Diffusion parameters in NAWM significantly predicted information processing speed (VIP: 1.615-1.321).

Conclusions:

  • Different MRI-measurable factors of MS pathology uniquely contribute to clinical and cognitive disability.
  • Subcortical structure volumetry and white matter diffusion measures are important for understanding MS disability progression.
  • This study highlights the utility of multiparametric MRI in characterizing MS-related neurological deficits.

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