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: | Kevin McRae-McKee |
| Institution: | Imperial College London |
| Department: | Department of Infectious Disease Epidemiology |
| Country: | |
| Proposed Analysis: | Imaging data (e.g. Hippocampal and Whole brain volume) will be of primary interest in this research. More specifically, it will be useful to review and analyse the actual brain scan images to better understand how volumes in the ADNI database are calculated and to assess whether associations with other biomarkers (e.g. AB42, tau and p-tau) are present. |
| Additional Investigators | |
| Investigator's Name: | Christoforos Hadjichrysanthou |
| Proposed Analysis: | Mathematical modelling and simulation of Alzheimer's disease development and progression. |
| Investigator's Name: | Sumali Bajaj |
| Proposed Analysis: | Ongoing work involving the clinical diagnoses over time has provided insights into the occurrence of reversions (or back-transitions) from MCI and AD, as presented in Hadjichrysanthou et al (2018), as function of a number of covariates. Focus going forward is now shifting to pre-clinical samples of individuals within ADNI. Further interest into the biomarkers of disease has led to insights into the dynamic nature of markers over time. In particular, how rates of change in hippocampal volume (HV) over time helps explain disease progression more than absolute values of HV on their own, as presented in McRae-McKee et al (2019). Further research going forward will involve the consideration of longitudinal measures of non-invasive markers such as plasma NFL and others. |
