We applied bi-tensor diffusion model to evaluate the microstructural changes of white (WM) and gray matter (GM) in patients with early Parkinson’s disease (PDs). Our results demonstrated that the bi-tensor diffusion model could be used to disentangle neuroinflammation and axonal degeneration in early PDs with more precise estimations of localized microstructural changes compared to the single-tensor model. Our findings also suggest that microstructural changes in early PD may be preceded by neuroinflammation and followed by axonal degeneration, with WM changes preceding GM changes. Finally, the bi-tensor model also enabled to show possible compensatory mechanisms in PD occurring in the cerebellum.
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