Abstract #3154

Connectomics of Brain Demyelination in Multiple Sclerosis

Shangming Liu¹, Bratislav Misic², Joseph S. Gati³, Ravi S. Menon³, Sridar Narayanan², Douglas L. Arnold², and David A. Rudko^1,2

¹Department of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada, ²Department of Neurology and Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada, ³Department of Medical Biophysics, Centre for Functional and Metabolic Mapping, Western University, London, ON, Canada

Resting-state connectivity alterations associated with demyelination and neurodegeneration occur in multiple sclerosis, but the specific network connections that are affected are not well understood. Moreover, temporal alterations in these networks across MS patient lifespan and MS phenotype have not been robustly characterized. In this study, we sought to isolate the influence of MS phenotype on resting-state functional connectivity in a cohort of early and later stage MS patients imaged using 7 T MRI. Through single-subject ICA denoising, followed by group-level connectivity matrix analysis with partial-least squares methods, we evaluated group level differences in 7 T resting-state connectivity between MS phenotypes.

This abstract and the presentation materials are available to members only; a login is required.

Join Here