Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups.

ABSTRACT:

Background

Multiple Sclerosis (MS), a neurodegenerative and neuroinflammatory disease, causing lesions that disrupt the brain's anatomical and physiological connectivity networks, resulting in cognitive, visual and/or motor disabilities. Advanced imaging techniques like diffusion and functional MRI allow measurement of the brain's structural connectivity (SC) and functional connectivity (FC) networks, and can enable a better understanding of how their disruptions cause disability in people with MS (pwMS). However, advanced MRI techniques are used mainly for research purposes as they are expensive, time-consuming and require high-level expertise to acquire and process. As an alternative, the Network Modification (NeMo) Tool can be used to estimate SC and FC using lesion masks derive

SUBMITTER: Tozlu C 

PROVIDER: S-EPMC8488753 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature