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: | Freek Martens |
| Institution: | Tilburg University |
| Department: | Tilburg School of Humanities and Digital Sciences |
| Country: | |
| Proposed Analysis: | Compare the predictability of MTA on MOCA-score within Parkinson Disease (PD) (PPMI) to the same predictability strength within ADNI. The project goal is to test different preprocces techniques (feature extraction) on MRI-scans in combination with different machine learning techniques. To identify if regular MRI controls contribute to predict the cognitive state of a patient with PD. The comparison of PPMI-data and ADNI-data, might help to identify if the amount of available data in PPMI is insufficient to learn (overfitting) the model or that other features have a higher/lower predictable strength. |
| Additional Investigators |
