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N. De Stefano
Researcher at University of Siena
Publications - 171
Citations - 22110
N. De Stefano is an academic researcher from University of Siena. The author has contributed to research in topics: Multiple sclerosis & Medicine. The author has an hindex of 47, co-authored 128 publications receiving 19980 citations. Previous affiliations of N. De Stefano include McGill University & John Radcliffe Hospital.
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Journal ArticleDOI
Advances in functional and structural MR image analysis and implementation as FSL.
Stephen M. Smith,Mark Jenkinson,Mark W. Woolrich,Mark W. Woolrich,Christian F. Beckmann,Behrens Tej.,Heidi Johansen-Berg,Peter R. Bannister,M De Luca,Ivana Drobnjak,D E Flitney,Rami K. Niazy,J Saunders,J Vickers,Yongyue Zhang,N. De Stefano,J M Brady,Paul M. Matthews +17 more
TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
Journal ArticleDOI
fMRI resting state networks define distinct modes of long-distance interactions in the human brain.
TL;DR: Evidence is provided that at least 5 distinct RSN patterns are reproducible across different subjects and that RSNs are a major source of non-modeled signal in BOLD fMRI data, so a full understanding of their dynamics will improve the interpretation of functional brain imaging studies more generally.
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
Normalized accurate measurement of longitudinal brain change.
TL;DR: A fully automated method of longitudinal change analysis is presented here, which automatically segments brain from nonbrain in each image, registers the two brain images while using estimated skull images to constrain scaling and skew, and finally estimates brain surface motion by tracking surface points to subvoxel accuracy.