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: | Takaaki Yoshimoto |
| Institution: | National Institute for Physiological Sciences |
| Department: | Department of System Neuroscience |
| Country: | |
| Proposed Analysis: | By using our novel method to analyze resting-state functional connectivity of the fMRI data, we will develop computational model as a biomarker to predict cognitive decline, physiological change such as tauopathy and clinical outcome. |
| Additional Investigators | |
| Investigator's Name: | Junichi Chikazoe |
| Proposed Analysis: | By using our novel method to analyze resting-state functional connectivity of the fMRI data, we will develop computational model as a biomarker to predict cognitive decline, physiological change such as tauopathy and clinical outcome. |
| Investigator's Name: | Pham Trung |
| Proposed Analysis: | By using our novel method to analyze resting-state functional connectivity of the fMRI data, we will develop computational model as a biomarker to predict cognitive decline, physiological change such as tauopathy and clinical outcome. |
| Investigator's Name: | Shotaro Funai |
| Proposed Analysis: | By using our novel method to analyze resting-state functional connectivity of the fMRI data, we will develop computational model as a biomarker to predict cognitive decline, physiological change such as tauopathy and clinical outcome. |
| Investigator's Name: | Haruki Niwa |
| Proposed Analysis: | By using our novel method to analyze resting-state functional connectivity of the fMRI data, we will develop computational model as a biomarker to predict cognitive decline, physiological change such as tauopathy and clinical outcome. |
