ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Koichi Ishizu |
| Institution: | Kyoto University |
| Department: | Human Health Sciences |
| Country: | |
| Proposed Analysis: | We performed FDG-PET scans of about 50 healthy control and 80 MCI patients in our institute, Kyoto University Hospital, in the J-ADNI study. AAL method was used to obtain 116 VOI values in each FDG image and several multivaliate analyses were performed to make an automatic system of differencial diagnosis between the normal and the MCI. The classification accuracy of them was not enough high and the 116 values are thought to be too many. Selection of the VOIs should work well to get better classificatin quality, but subject number seems to be small for both of the VOI selection and the later evaluation of the classification system. We would like to use ADNI data for the VOI value selection. |
| Additional Investigators |

