Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset

Conventional MRI is routinely used for the characterization of pathological changes in multiple sclerosis (MS), but due to its lack of specificity is unable to provide accurate prognoses, explain disease heterogeneity and reconcile the gap between observed clinical symptoms and radiological evidence...

Full description

Saved in:

Bibliographic Details
Published in:	Frontiers in neuroinformatics Vol. 17; p. 1060511
Main Authors:	Ricciardi, Antonio, Grussu, Francesco, Kanber, Baris, Prados, Ferran, Yiannakas, Marios C., Solanky, Bhavana S., Riemer, Frank, Golay, Xavier, Brownlee, Wallace, Ciccarelli, Olga, Alexander, Daniel C., Gandini Wheeler-Kingshott, Claudia A. M.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Research Foundation 23.03.2023 Frontiers Media S.A
Subjects:	Age Atrophy Biomarkers Brain research Classification Clinical medicine diffusion Inflammation Machine learning Magnetic resonance imaging MRI multi-modal Multiple sclerosis Neuroscience Pathophysiology Phenotypes quantitative Sodium sodium diffusion MRI multiple sclerosis quantitative random forest machine learning multi-modal
ISSN:	1662-5196, 1662-5196
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!