There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Xinle Tian |
| Institution: | University of Bath |
| Department: | Department of Mathematical Sciences |
| Country: | |
| Proposed Analysis: | This project aims to develop new models for functional activity which don’t enforce restrictive model assumptions, with associated estimation theory and fitting based on constrained optimization to ensure clinically-relevant parameter values. In addition, we will develop inference methods in which structure can be included as a graph prior for sparse graphical models. Subsequent research will then focus on algorithms for detecting changes in such settings. With the potential new models, it serves to both improve interpretability and predictive performance in neurological studies and allow us to investigate a better understanding of functional connectivity which occurs in neurological studies. |
| Additional Investigators |
