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: | Samaneh Nemati |
| Institution: | University of South Carolina |
| Department: | Communication Sciences and Disorders |
| Country: | |
| Proposed Analysis: | Previous studies on aging populations have reported that while people chronologically age at the same rate, an individual’s brain maturation/aging trajectory, which can be quantified by measuring the deviation of their brain’s structure and function from normative data, can be predictive of more serious forms of cognitive decline. Software capable of accurately computing this trajectory based on commonly acquired clinical scans, such as BrainAGE R, could provide reliable biomarkers of pre-clinical disease states thereby enhancing clinicians’ ability to make early diagnosis of cognitive decline. Therefore, we want to evaluate the relationship between resting-state functional connectivity (rsFC) and BrainAGE measures in healthy older adults. We have done this on a local dataset which includes neuroimaging and behavioral data for healthy people (60-80 years old) and we aim to apply the same analysis on ADNI dataset as a gold standard. |
| Additional Investigators |
