The sequence of regional structural disconnectivity due to multiple sclerosis lesions

Ceren Tozlu1, Emily Olafson1, Keith Jamison1

  • 1Department of Radiology, Weill Cornell Medicine, New York, NY, USA.

Abstract

Insights

Structural disconnectivity in multiple sclerosis (MS) predicts disability and cognitive decline. Early subcortical and motor cortex disconnections, particularly from paramagnetic rim lesions (PRLs), signal disease progression.

Area of Science:

  • Neuroscience
  • Neurology
  • Radiology

Background:

  • Multiple sclerosis (MS) disease progression is difficult to predict due to heterogeneous lesion development and inflammation.
  • Understanding the sequence of structural disconnectivity related to MS lesions is crucial for predicting disability and cognitive impairment.

Approach:

  • Investigated lesion-related structural disconnectivity in 482 MS patients across disability and cognitive impairment spectrums.
  • Utilized Quantitative Susceptibility Mapping to identify paramagnetic rim lesions (PRLs) and the Network Modification Tool to assess regional structural disconnectivity.
  • Applied discriminative event-based modeling to determine the sequence of structural disconnectivity associated with MS lesions.

Key Points:

  • Structural disconnections in ventral attention and subcortical networks were early indicators of moderate to severe disability.
  • Paramagnetic rim lesions (PRLs) in motor regions represented the earliest biomarkers for disability progression.
  • Subcortical structural disconnection emerged as an early biomarker for cognitive impairment.

Conclusions:

  • Subcortical MS lesion-related structural disconnections serve as early biomarkers for both disability and cognitive impairment.
  • PRL-related structural disconnection in the motor cortex may identify MS patients at risk for significant disability.