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: | Matteo Vestrucci |
| Institution: | University of Texas at Austin |
| Department: | Statistics and Data Sciences |
| Country: | |
| Proposed Analysis: | We propose to develop a novel Bayesian Variable Selection method based on Hopfield Networks in order to select which bio-markers and imaging measurements share a similar longitudinal influence -but at different time lags- on the cognitive assessments. Following previous literature results, this method will use logistic growth curves to set up an appropriate progression model for every patient, borrowing information across patients, and then to proceed with the variable selection algorithm, optimizing a penalized fit. |
| Additional Investigators |
