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Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients.

Francesco Patti1, Manuela De Stefano2, Luigi Lavorgna2

  • 1Department G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.

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|March 28, 2015
PubMed
Summary
This summary is machine-generated.

Focal white matter damage, measured by MRI, significantly predicts long-term cognitive impairment in Multiple Sclerosis (MS) patients. This finding highlights the importance of tracking white matter lesions for understanding cognitive decline in MS.

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Area of Science:

  • Neuroimaging
  • Neurology
  • Cognitive Science

Background:

  • Magnetic Resonance Imaging (MRI) has provided insights into cognitive impairment (CIm) in Multiple Sclerosis (MS).
  • Understanding the predictors of long-term CIm is crucial for managing MS patients.

Purpose of the Study:

  • To determine the predictive role of white matter (WM) and gray matter (GM) integrity on long-term cognitive function in a cohort of MS patients.
  • To assess the relationship between baseline MRI parameters and cognitive performance over a nine-year period.

Main Methods:

  • A cohort of 303 MS patients from a previous MRI study were followed up.
  • Baseline MRI parameters including cerebrospinal fluid fraction (CSF-f), WM fraction (WM-f), GM fraction (GM-f), and abnormal WM fraction (AWM-f) were quantified.
  • Cognitive status was assessed after nine years using SDMT, SRWL (immediate and delayed recall), MCST (categories, perseverative and non-perseverative errors), and PASAT.

Main Results:

  • Abnormal white matter fraction (AWM-f) was a significant predictor of impaired performance in SDMT, PASAT, SRWL (immediate and delayed recall), and MCST (categories, perseverative and non-perseverative errors) nine years later.
  • Higher AWM-f at baseline was associated with worse cognitive outcomes across multiple tests.
  • The predictive value of AWM-f was statistically significant for all tested cognitive domains.

Conclusions:

  • Focal white matter damage, quantified by AWM-f, is the most significant predictor of long-term cognitive outcomes in patients with Multiple Sclerosis.
  • MRI-based assessment of white matter lesions is valuable for predicting the trajectory of cognitive impairment in MS.
  • These findings underscore the importance of monitoring white matter integrity for managing cognitive health in MS.