Recent studies combining diffusion tensor-derived metrics and machine learning have
shown promising results in the discrimination of multiple system atrophy (MSA) and
Parkinson's disease (PD) patients. This approach has not been tested using more complex
methodologies such as probabilistic tractography. The aim of this work is assessing whether
the strength of structural connectivity between subcortical structures, measured as the
number of streamlines (NOS) derived from tractography, can be used to classify MSA and …