Motor symptoms, such as changes in gait and functional mobility, are among the earliest detectable signs of various neurodegenerative diseases, including Parkinson's and Alzheimer's. However, our understanding of the underlying causes—specifically, which brain changes are associated with specific phenotypes—is limited. This project aims to elucidate the connections between alterations in gait and mobility and the affected brain regions. To achieve this, we will develop computer vision algorithms to analyze both brain images and human motion. This approach could not only enable more accurate early detection of neurodegenerative diseases but also potentially identify novel targets and neuropathways for future treatments. In addition, the identified gait measurements can serve as new digital biomarkers that could be objectively quantified and tracked over time to monitor disease progression or treatment respnoses. 
