MRI of Transcallosal White Matter Helps to Predict Motor Impairment in Multiple Sclerosis

Claudio Cordani1, Paolo Preziosa1, Paola Valsasina1

  • 1From the Neuroimaging Research Unit, Division of Neuroscience (C.C., P.P., P.V., A.M., E.P., T.M., M.A.R., M.F.), Neurology Unit (P.P., M.A.R., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; and Vita-Salute San Raffaele University, Milan, Italy (M.A.R., M.F.).

Radiology
|November 30, 2021
PubMed

Insights

Structural MRI abnormalities in white matter fibers connecting motor areas predict disability and upper limb impairment in multiple sclerosis (MS). Functional connectivity did not predict outcomes, and predictor importance decreased with higher MS disability levels.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Altered callosal integrity is linked to motor deficits in multiple sclerosis (MS).
  • Previous studies have not fully explored multiparametric MRI for interhemispheric contributions to MS disability.
  • Investigating structural and functional MRI substrates is crucial for understanding MS progression.

Purpose of the Study:

  • To investigate structural and functional interhemispheric MRI substrates of global disability and upper limb motor impairment in MS.
  • To identify MRI predictors of clinical disability at different Expanded Disability Status Scale (EDSS) milestones.
  • To determine MRI predictors for upper limb motor impairment using the nine-hole peg test and finger tapping test.

Main Methods:

  • Cross-sectional study of 340 MS patients and 130 healthy controls using structural and resting-state functional MRI.
  • Probabilistic tractography analyzed hand corticospinal tracts and transcallosal fibers between motor cortices (hand-M1), supplementary motor areas (SMAs), and premotor cortices (PMCs).
  • Random forest analysis identified MRI predictors for EDSS scores (3.0, 4.0, 6.0) and upper limb motor impairment.

Main Results:

  • Predictors for EDSS 3.0 included global atrophy, lesions, and damage in corticospinal tracts and transcallosal fibers between PMCs and SMAs (86% accuracy).
  • For EDSS 4.0, similar predictors were identified, plus damage in transcallosal fibers between hand-M1 (89% accuracy). No predictors found for EDSS 6.0.
  • Damage in transcallosal fibers between SMAs and PMCs predicted nine-hole peg test and finger tapping test impairments (69%-77% accuracy). Voxel-mirror homotopic connectivity (VMHC) abnormalities did not predict outcomes.

Conclusions:

  • Structural MRI abnormalities in transcallosal white matter fibers (premotor and motor) predict MS disability and upper limb motor impairment.
  • Functional MRI abnormalities did not predict clinical outcomes in this study.
  • The predictive value of these MRI markers diminishes at higher levels of disability in MS patients.

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