In this study, we investigated longitudinal changes in white matter (WM) structural integrity and gray matter (GM) volume in Parkinson’s disease (PD). More specifically, free-water diffusion tensor imaging (FW-DTI), generalized q-sampling imaging (GQI), and voxel-based morphometry (VBM) were assessed in data obtained from the Parkinson Progression Markers Initiative (PPMI) database. We hypothesize that the use of advanced DTI metrics and VBM analysis will improve the sensitivity and specificity for the detection of WM alterations and GM volumetric changes in PD over time.
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