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Abstract #4344

Characterization of DTI Brain Connectivity in Different Clinical Forms of Multiple Sclerosis Patients Based on Graph Theory

Gabriel KOCEVAR 1 , Claudio STAMILE 1 , Salem HANNOUN 1 , Francois COTTON 1,2 , Franoise DURAND-DUBIEF 1,3 , and Dominique SAPPEY-MARINIER 1,4

1 CREATIS (CNRS UMR5220 & INSERM U1044), Universit Lyon 1, INSA-Lyon, Villeurbanne, France, 2 Service de Radiologie, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Benite, France, 3 Service de Neurologie A, Hpital Neurologique, Hospices Civils de Lyon, Bron, France, 4 CERMEP - Imagerie du Vivant, Universit de Lyon, Bron, France

We introduce a new graph theory based method to characterize brain connectivity alterations occurring in Multiple Sclerosis (MS) patients brain networks. Adjacency matrices were computed from the diffusion and anatomical MRI. Global metrics were then estimated. A global alteration of brain network was shown in the three patients forms, hence demonstrating the ability and the sensitivity of this technique to characterize alterations and plasticity of brain connectivity. Thereby offering the potential to better characterize MS patients clinical status and better predict disease evolution.

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