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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