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: | Naoya Oishi |
| Institution: | Kyoto University Graduate School of Medicine |
| Department: | Department of Psychiatry |
| Country: | |
| Proposed Analysis: | We are planning to extract effective features from MR or PET images in ADNI by pattern recognition methods based on mechine-learning techniques such as support vector machine (SVM). The extracted features will be applied not only to our own images in our facility but also to images by a multicenter study in Japan. |
| Additional Investigators | |
| Investigator's Name: | Masanari Onda |
| Proposed Analysis: | By examining changes in functional connectivity and linking them to each specific symptom, we can gain a better understanding of the underlying causes of the diverse range of symptoms in dementia. Through conducting translational research on each identified functional connectivity, we can contribute to the development of drugs tailored to target each specific symptom. |
| Investigator's Name: | Toshiya Takahashi |
| Proposed Analysis: | Patients with clinically diagnosed Alzheimer's disease have a varied clinical course and may or may not respond to cholinesterase inhibitors. We attempt to stratify Alzheimer's disease using neuropsychological testing, MRI, PET and spinal fluid testing, and to develop criteria for determining drug efficacy and prognosis, and to examine the association with genes. |
