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Deep grey matter injury in multiple sclerosis: a NAIMS consensus statement.

Authors :
Ontaneda, Daniel
Raza, Praneeta C
Mahajan, Kedar R
Arnold, Douglas L
Dwyer, Michael G
Gauthier, Susan A
Greve, Douglas N
Harrison, Daniel M
Henry, Roland G
Li, David K B
Mainero, Caterina
Moore, Wayne
Narayanan, Sridar
Oh, Jiwon
Patel, Raihaan
Pelletier, Daniel
Rauscher, Alexander
Rooney, William D
Sicotte, Nancy L
Tam, Roger
Source :
Brain: A Journal of Neurology; Jul2021, Vol. 144 Issue 7, p1974-1984, 11p
Publication Year :
2021

Abstract

Although multiple sclerosis has traditionally been considered a white matter disease, extensive research documents the presence and importance of grey matter injury including cortical and deep regions. The deep grey matter exhibits a broad range of pathology and is uniquely suited to study the mechanisms and clinical relevance of tissue injury in multiple sclerosis using magnetic resonance techniques. Deep grey matter injury has been associated with clinical and cognitive disability. Recently, MRI characterization of deep grey matter properties, such as thalamic volume, have been tested as potential clinical trial end points associated with neurodegenerative aspects of multiple sclerosis. Given this emerging area of interest and its potential clinical trial relevance, the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative held a workshop and reached consensus on imaging topics related to deep grey matter. Herein, we review current knowledge regarding deep grey matter injury in multiple sclerosis from an imaging perspective, including insights from histopathology, image acquisition and post-processing for deep grey matter. We discuss the clinical relevance of deep grey matter injury and specific regions of interest within the deep grey matter. We highlight unanswered questions and propose future directions, with the aim of focusing research priorities towards better methods, analysis, and interpretation of results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00068950
Volume :
144
Issue :
7
Database :
Complementary Index
Journal :
Brain: A Journal of Neurology
Publication Type :
Academic Journal
Accession number :
151977353
Full Text :
https://doi.org/10.1093/brain/awab132