S
Sridar Narayanan
Researcher at Montreal Neurological Institute and Hospital
Publications - 143
Citations - 9451
Sridar Narayanan is an academic researcher from Montreal Neurological Institute and Hospital. The author has contributed to research in topics: Multiple sclerosis & White matter. The author has an hindex of 51, co-authored 135 publications receiving 8426 citations. Previous affiliations of Sridar Narayanan include University of Connecticut & McGill University.
Papers
More filters
Journal ArticleDOI
Axonal damage correlates with disability in patients with relapsing-remitting multiple sclerosis. Results of a longitudinal magnetic resonance spectroscopy study.
N. De Stefano,Paul M. Matthews,L. Fu,Sridar Narayanan,Jeffrey A. Stanley,Gordon S. Francis,Jack P. Antel,Douglas L. Arnold +7 more
TL;DR: It is concluded that indices of axonal damage or loss such as brain N-acetylaspartate may provide a specific measure of pathological changes relevant to disability.
Journal ArticleDOI
Imaging axonal damage of normal-appearing white matter in multiple sclerosis.
L. Fu,Paul M. Matthews,N. De Stefano,Keith J. Worsley,Sridar Narayanan,Gordon S. Francis,Jack P. Antel,Christina Wolfson,Douglas L. Arnold +8 more
TL;DR: Results add to data suggesting that axonal damage or loss may be responsible for functional impairments in multiple sclerosis, and may be of particular significance for understanding chronic disability in this disease.
Journal ArticleDOI
Evidence of axonal damage in the early stages of multiple sclerosis and its relevance to disability.
Nicola De Stefano,Sridar Narayanan,Gordon S. Francis,Rozie Arnaoutelis,Maria Carmela Tartaglia,Jack P. Antel,Paul M. Matthews,Douglas L. Arnold +7 more
TL;DR: Cerebral axonal damage begins and contributes to disability from the earliest stages of the disease, even before significant disability (measured using the Expanded Disability Status Scale [EDSS]) was evident clinically.
Journal ArticleDOI
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging.
TL;DR: The complexity of lesions segmentation is described, the automatic MS lesion segmentation methods found, and the validation methods applied are reviewed, to evaluate the state of the art in automated multiple sclerosis lesion segmentsation.
Journal ArticleDOI
Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis.
H Reddy,Sridar Narayanan,R. Arnoutelis,Mark Jenkinson,Jack P. Antel,Paul M. Matthews,Douglas L. Arnold +6 more
TL;DR: Results suggest that compensatory cortical adaptive responses may help to account for the limited relationship between conventional MRI measures of lesion burden and clinical measures of disability, and that therapies directed towards promoting cortical reorganization in response to brain injury could enhance recovery from relapses of multiple sclerosis.