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: | Jinjiang Wei |
| Institution: | Wuhan University |
| Department: | Computer Science Collegue |
| Country: | |
| Proposed Analysis: | To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzheimer disease (AD), mild cognitive impairment, or neither at fluorine 18 (18F) fluorodeoxyglucose (FDG) PET of the brain and compare its performance to that of radiologic readers. |
| Additional Investigators | |
| Investigator's Name: | quanxiang Liu |
| Proposed Analysis: | Although Alzheimer disease (AD) remains a diagnosis based on clinical grounds (1,2), advancements in diagnostic technology such as PET with fluorine 18 (18F) fluorodeoxyglucose (FDG) allow earlier diagnosis and treatments, when they may be most effective (3). There is a continuous spectrum from normal cognition to AD,including mild cognitive impairment (MCI) as a prodromal stage of AD |
| Investigator's Name: | quanxiang Liu |
| Proposed Analysis: | Although Alzheimer disease (AD) remains a diagnosis based on clinical grounds (1,2), advancements in diagnostic technology such as PET with fluorine 18 (18F) fluorodeoxyglucose (FDG) allow earlier diagnosis and treatments, when they may be most effective (3). There is a continuous spectrum from normal cognition to AD,including mild cognitive impairment (MCI) as a prodromal stage of AD |
