Multiple Sclerosis Research Studies

The paper introduces a statistical technique to count distinct multiple sclerosis lesions from MRI data, showing it correlates with gold-standard counts and provides disease-related insights.

This study shows that deep grey matter volume loss predicts faster disability progression in multiple sclerosis, with specific patterns in different disease subtypes.

This study identifies a unique BOLD signal in white matter using fMRI and shows reduced signal power in multiple sclerosis patients, linking neuroinflammation to vascular dysfunction.