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: | Samuel Warren |
| Institution: | Western Sydney University |
| Department: | Psychology |
| Country: | |
| Proposed Analysis: | In this study, we plan to consider the ability of episodic-memory measures to predict mild cognitive impairment (MCI) to AD conversion and thus, detect early-stage AD. We plan to study episodic-memory measures as they are theorised to predict MCI conversion and because they lack comprehensive research in the literature. Specifically, we plan to investigate MCI participants across four years using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Using a binary logistic regression, we will compare episodic-memory tests to each other and to prominent neuroimaging methods in MCI converter (MCI participants who developed AD) and MCI non-converter groups (MCI participants who did not develop AD). Accordingly, we will be able to determine the most accurate measure for predicting MCI to AD conversion and thus early-stage AD. |
| Additional Investigators |
