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: | Marc Modat |
| Institution: | King's College London |
| Department: | Biomedical Engineering and Imaging Sciences |
| Country: | |
| Proposed Analysis: | Neurodegenerative disease longitudinal studies such as ADNI typically follow participants over many years. Such studies are negatively impacted by scanner upgrade as they introduce significant error and bias in any longitudinal measurement, such as rates of change in brain volume. Those errors arise both due to geometric and intensity inconsistencies across data acquired before and after scanner upgrades. Our project aims to develop computational tools to account for the variations caused by MRI scanner upgrade during longitudinal studies of neurodegenerative diseases such as AD and FTD. Such tools will allow for consistency between scanners across time and thus reclaim substantial amounts of data that would have otherwise been discarded for inclusion in longitudinal analysis. |
| Additional Investigators |
