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: | Mikkel Nygaard |
| Institution: | Aarhus University |
| Department: | Center of Functionally Integrative Neuroscience |
| Country: | |
| Proposed Analysis: | Current MRI processing pipelines for estimating longitudinal morphological changes primarily relies on intra-subject brain to brain registration. This approach could potentially be biased due to brain atrophy then follow-up brain scans are scaled and sheared to match baseline scans. We aim to validate our method which utilize a deep learning based segmentation of the skull as reference for the intra-subject registration, since changes within the skull is limited during adulthood. This can potentially be a more sensitive approach to detect morphological changes of the brain. |
| Additional Investigators |
