Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses

Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses

Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS) patients into four clinical profiles using structural connectivity information. For the first time, we try to solve this question in a fully automated way using a computer-based method. The main goal is to show how the...

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Bibliographic Details
Main Authors: Gabriel Kocevar, Claudio Stamile, Salem Hannoun, François Cotton, Sandra Vukusic, Françoise Durand-Dubief, Dominique Sappey-Marinier
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-10-01
Series:Frontiers in Neuroscience
Subjects:
Classification
Diffusion Tensor Imaging
Multiple Sclerosis
MRI
SVM
graph theory
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00478/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00478/full

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