The diffusion tensor imaging (DTI) is a technique used to study the organization and the structural state of white matter tracts. The study of the tracts integrity may help to understand and determine the severity of the patients prognosis after an ischemic stroke. In this thesis, I present two studies: in the first we compared the results obtained from a template of the Corticospinal tract (CST) to those obtained by a tractography in healthy subjects and stroke patients. In both groups, the fractional anisotropy (FA) values obtained with the tractography were higher than those obtained by the template. However, in patients, both methods detected a decrease in FA values of the ipsilesional CST, which was correlated with motor scores, but the FA values obtained with the template were better correlated with the BOLD signal generated by the paretic hand. The second study investigated whether the severity of aphasia could be correlated to the damage of certain areas of the white matter. The voxel-based analysis identified an area at the intersection of the dorsal and ventral pathways of language, below the left temporo-parietal junction (JTP). The severity of the damage in this area, assessed by the FA values, was better correlated with the phasic deficits than the infarct volume. In this thesis, we found that after a stroke, the damage of the CST is a good predictor of the motor deficit severity and that of the region located below the left JTP is a good predictor of the aphasia severity.
