The hypothesis is that the differential extent of microstructural damages in the affected brain regions can be specific to the disease of interest and could reflect the clinical severity. Therefore, we propose that the whole brain parcellation of diffusion MRI can be used to improve the diagnosis and prediction of clinical outcomes in Parkinson's Disease. 1. A regression model between clinical severity and two-year clinical outcomes and diffusion properties from multiple parcellated regions will be developed. 2. Blind validation will be performed.
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An objective image-based evidence for the diagnosis, differential diagnosis and prognosis of Parkinson's Disease
Timeframe: end of the third year