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: | Ruyu Shi |
| Institution: | University of Pittsburgh |
| Department: | School of Public Health |
| Country: | |
| Proposed Analysis: | The main objective of this project is to define Alzheimer’s disease progression rate phenotypes using the longitudinal Mini-Mental Status Examination (MMSE) scores. As well as evaluate different phenotype measures from two aspects, including 1) which pre-defined phenotype can most accurately capture the disease progression pattern with varying measurement points and time intervals, and 2) which pre-defined phenotype has the most robust power to detect underlying genetic effects under varying trait models. We are also interested in whether the pre-defined measures in AD patients are capable of describing patterns in cognitively normal populations. |
| Additional Investigators |
