Parkinson’s disease (PD) is a neurodegenerative disorder characterized by progressive degeneration of dopaminergic neurons in the substantia nigra (SN). With the ability to reveal tissue microstructural changes, non-Gaussian diffusion models with high b-values can provide a wealth of information related to the neurodegenerative process and complement the conventional Gaussian diffusion model. Non-Gaussian diffusion imaging is typically performed with limited spatial resolution and subject to image distortion. In this study, we have combined a high-resolution, distortion-free diffusion sequence with a non-Gaussian diffusion model to analyze the lateral dependence of tissue abnormalities in the SN of PD patients compared to healthy controls.
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