Parkinson's disease

Grandpa is moody, will his cognition decline? Predicting cognitive decline in Parkinson's disease from non-motor symptoms evolution

While Parkinson’s disease (PD) is recognized by its motor symptoms, it is also characterized by non-motor symptoms (NMS), such as anxiety, depression, pain, etc. NMS often precede cognitive decline, making them potential predictors of such decline. This project aims to investigate the longitudinal association between non-motor symptoms and cognitive and neural decline in patients with PD. Early identification of individuals at higher risk of cognitive decline through their NMS presentation can facilitate timely interventions.

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Identifying Potential Biomarkers for Parkinson’s Disease Using Neurite Orientation Dispersion and Diffusion Imaging (NODDI)

In this project, I have explored the use of NODDI, a diffusion MRI technique, to identify potential biomarkers for Parkinson’s disease using spinal cord images. The goal of this project was to use an existing Matlab toolbox to perform NODDI fitting, and then use Python to analyze the extracted NODDI metrics to identify potential differences in these metrics with Parkinson’s disease progression.

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