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: | Nina Miolane |
| Institution: | Stanford University |
| Department: | Statistics |
| Country: | |
| Proposed Analysis: | The analysis seeks to use the ADNI preprocessed time series to build a connectome per subject. Then, our goal is to perform a non-linear dimensionality reduction analysis to identify biomarkers of Alzheimer's disease, together with a measure of uncertainty on each of these markers. In practice, this project will use a generalization of variational autoencoders in the Riemannian manifold of symmetric positive definite matrices. We hope to learn the submanifold describing the brain connectomes, in which healthy and pathological connectomes should be clustered. |
| Additional Investigators |
