Characterizing multiple sclerosis disease progression using a combined structural and functional connectivity metric-Reference-Cited by-同舟云学术

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Characterizing multiple sclerosis disease progression using a combined structural and functional connectivity metric

Published:2023-11 Issue: Volume:103 Page:185-191
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Bhattacharyya P.K.,Fox R.J.,Sakaie K.E.,Bena J.,Harvey T.,Raska P.,Lin J.,Lowe M.J.

Funder

Novartis Pharmaceuticals Corporation

National Institutes of Health

National Multiple Sclerosis Society

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference22 articles.

1. Guidelines for using quantitative measures of brain magnetic resonance imaging abnormalities in monitoring the treatment of multiple sclerosis;Filippi;Ann Neurol,1998

2. Functional pathway-defined MRI diffusion measures reveal increased transverse diffusivity of water in multiple sclerosis;Lowe;Neuroimage,2006

3. Multiple sclerosis: low-frequency temporal blood oxygen level-dependent fluctuations indicate reduced functional connectivity initial results;Lowe;Radiology,2002

4. The relationship between cognitive function and high-resolution diffusion tensor MRI of the cingulum bundle in multiple sclerosis;Koenig;Mult Scler J,2015

5. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS);Kurtzke;Neurology,1983

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