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: | Grace Wen |
| Institution: | university of Auckland |
| Department: | Auckland Bioengineering Institute |
| Country: | |
| Proposed Analysis: | Statistically analyse the MRI data with the objectives on targeting localization, brain connectivity, and prediction/classification focusing on the insights about normal brain function and structure and neural manifestations of neurological disorders for Alzheimer's disease. |
| Additional Investigators | |
| Investigator's Name: | Miao Qiao |
| Proposed Analysis: | In the project, Magnetic Resonance Imaging data will be processed and analysed with novel multiple parcellations discovery and group-based graph analytics for brain networks. The outcome of this research will benefit the health of the individual and the society by early diagnosis and intervention of mental illness, neurological and aging-related disorders/diseases, etc. It will also contribute to the establishment of a healthy aging society with quality elderly life and reduced healthcare costs. |
| Investigator's Name: | David huang |
| Proposed Analysis: | In the project, Magnetic Resonance Imaging data will be processed and analysed with novel multiple parcellations discovery and group-based graph analytics for brain networks. The outcome of this research will benefit the health of the individual and the society by early diagnosis and intervention of mental illness, neurological and aging-related disorders/diseases, etc. It will also contribute to the establishment of a healthy aging society with quality elderly life and reduced healthcare costs. |
| Investigator's Name: | Gene Tang |
| Proposed Analysis: | Statistically analyse the MRI data with the objectives of targeting localization, brain connectivity, and prediction/classification focusing on the insights about normal brain function and structure and neural manifestations of neurological disorders for neuro disorder. |
