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: | Hongtu Zhu |
| Institution: | University of North Carolina at Chapel Hill |
| Department: | Biostatistics |
| Country: | |
| Proposed Analysis: | We aim to develop novel statistical modeling and machine learning methods in prediction of the Alzheimer's Disease, by using brain structural and functional measures from the T1, resting-state and diffusion weighted MR images. We will further improve the prediction accuracy by integration of both the genetic and imaging biomarkers. |
| Additional Investigators | |
| Investigator's Name: | Tengfei Li |
| Proposed Analysis: | We will use the ADNI dataset as a validation set to test our imaging-genetic analysis results from UKBiobank data. The ADNI dataset will validate our findings on the identified SNPs associated with brain anatomical/functional measures, Alzheimer's disease status and aging process. |
| Investigator's Name: | Tengfei Li |
| Proposed Analysis: | We will use the ADNI dataset as a validation set to test our imaging-genetic analysis results from UKBiobank data. The ADNI dataset will validate our findings on the identified SNPs associated with brain anatomical/functional measures, Alzheimer's disease status and aging process. |
