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: | Yue WEI |
| Institution: | The Hong Kong University of Science and Technology |
| Department: | CSE |
| Country: | |
| Proposed Analysis: | It is confirmed that Type-II diabetes patient has higher risk of getting Alzheimer's disease. Previous research revealed that the brain connectivity strength changed in Type-II diabetes patients even before they showed impairment in cognition. We plan to use CNN to train classifiers that can use brain connectivity strength to predict the clinical indicators in typeII diabetes. But our local DTI dataset has very limited samples (N=94), which would cause overfitting problems in the model. We wish to apply for the ADNI Data and use its DTI data to pretrain our model, in order to improve the performance of our CNN models. |
| Additional Investigators | |
| Investigator's Name: | Weiyan XIE |
| Proposed Analysis: | We are working in the same project. |
| Investigator's Name: | Yi Liang |
| Proposed Analysis: | Liang Yi is from The First Affiliated Hospital of Guangzhou University of Chinese Medicine. She is responsible for collecting our local dataset in type II diabetes patients. We are working in the same project. |
