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: | Keiichi Onoda |
| Institution: | Otemon Gakuin University |
| Department: | Department of Psychology |
| Country: | |
| Proposed Analysis: | We have investigated the aging effects on functional network using resting-state fMRI (Onoda et al., 2012; 2013). The resting-state fMRI is strong method, but the analyses are diversified and difficult for non-professionals. We are presently developing novel software for resting-state fMRI, which can be easily used by clinical doctors or radiation technologists. The primary target is dementia, and we need resting-state fMRI data of Alzheimer’s disease, mild cognitive impairment, and healthy elderly. We’ll conduct graph theory and Seed-based analyses, and validate the discrimination ability based on support vector machine and deep learning using ADNI data and our lab’s data. We would apply data access of the ADNI project. Onoda K, Yamaguchi S. 2013 Small-worldness and modularity of the resting-state functional brain network decrease with aging. Neurosci Lett. 556:104-8. Onoda K, Ishihara M, Yamaguchi S. 2012 Decreased functional connectivity by aging is associated with cognitive decline. J Cogn Neurosci. 24(11):2186-98. |
| Additional Investigators |
