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: | Shruti Chandra |
| Institution: | Northwestern University |
| Department: | Mesulam Center for Cognitive Neurology and AD |
| Country: | |
| Proposed Analysis: | The aim of our research is to utilize Alzheimer’s Disease and other forms of dementia as a model to better understand the processes that augment aging. We collect PET and MRI imaging data on a variety of cohorts including patients with MCI, ADD, and PPA, patients identified as SuperAgers (elderly patients with advanced cognitive abilities), and patients identified as healthy or normal controls. We wish to utilize data from cohorts of patients in the ADNI study (ranging from healthy/normal controls and patients with abnormal aging e.g. MCI and ADD). We would like to compare specific biomarkers and outcome measure from ADNI cohorts with our SuperAging and healthy control patient cohorts in order to determine predictors of abnormal aging and cognitive decline, identify regions of interest for further imaging studies, and compare aging processes across various independent cohorts. |
| Additional Investigators | |
| Investigator's Name: | Adam Martersteck |
| Proposed Analysis: | The aim of our research is to utilize Alzheimer’s Disease and other forms of dementia as a model to better understand the processes that augment aging. We collect PET and MRI imaging data on a variety of cohorts including patients with MCI, ADD, and PPA, patients identified as SuperAgers (elderly patients with advanced cognitive abilities), and patients identified as healthy or normal controls. We wish to utilize data from cohorts of patients in the ADNI study (ranging from healthy/normal controls and patients with abnormal aging e.g. MCI and ADD). We would like to compare specific biomarkers and outcome measure from ADNI cohorts with our SuperAging and healthy control patient cohorts in order to determine predictors of abnormal aging and cognitive decline, identify regions of interest for further imaging studies, and compare aging processes across various independent cohorts. |
