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: | Vishnu Sampathkumar |
| Institution: | Centre for Fundamental Research and Creative Education (CFRCE) |
| Department: | Department of Neuroscience |
| Country: | |
| Proposed Analysis: | We have developed ADiag, a novel quantitative method to diagnose AD through GraphSAGE Network and Dense Differentiable Pooling (DDP) analysis of large graphs based on thickness difference between different structural regions of the cortex. Preliminary tests of ADiag have revealed a robust accuracy of 83%, vastly outperforming other qualitative and quantitative diagnostic techniques. However, to support our cortical thickness analysis, we wish to use a multiscale diagnostic approach incorporating MRI images, genetic indicators and histological biomarkers (for example, CSF) to make a cohesive and accurate diagnosis. |
| Additional Investigators |
