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: | Kaylee Bodner |
Institution: | Duke University Medical Center |
Department: | Psychiatry |
Country: | |
Proposed Analysis: | This study is being done at Duke University School of Medicine under the supervision of Professor Murali Doraiswamy. The aims of the study are to examine the association between plasma neurofilament light (NFL) levels and genetic risk for Alzheimer’s disease and to examine if plasma NFL predicts faster decline over time in subjects at different levels of genetic risk. We plan to download data on demographics, genetics, cognitive and functional tests, biomarkers and outcomes. The project will last one year. |
Additional Investigators | |
Investigator's Name: | Murali Doraiswamy |
Proposed Analysis: | This study is being done at Duke University School of Medicine under the supervision of Professor Murali Doraiswamy. The aims of the study are to examine the association between plasma neurofilament light (NFL) levels and genetic risk for Alzheimer’s disease and to examine if plasma NFL predicts faster decline over time in subjects at different levels of genetic risk. We plan to download data on demographics, genetics, cognitive and functional tests, biomarkers and outcomes. The project will last one year. |
Investigator's Name: | Cammie Hellegers |
Proposed Analysis: | This study is being done at Duke University School of Medicine under the supervision of Professor Murali Doraiswamy. The aims of the study are to examine the association between plasma neurofilament light (NFL) levels and genetic risk for Alzheimer’s disease and to examine if plasma NFL predicts faster decline over time in subjects at different levels of genetic risk. We plan to download data on demographics, genetics, cognitive and functional tests, biomarkers and outcomes. The project will last one year. |