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: | Emma Coomans |
| Institution: | Amsterdam UMC, VUmc |
| Department: | Neurology, Alzheimer Center Amsterdam |
| Country: | |
| Proposed Analysis: | Working title: Identifying the most optimal tau-PET parameter for prognostic purposes in the memory clinic Tau-PET is frequently analyzed using (semi-)quantitative metrics (e.g. SUVr) witin a pre-defined ROI (e.g. temporal meta-ROI). Previous studies have shown that increased tau-tracer binding in the temporal meta-ROI strongly corresponds to cognitive decline and clinical progression. However, still, a lot of variance exists in this relationship. This may be related to the large inter-individual heterogeneity in tau, potentially indicating that a group-level ROI for tau load may not be the most optimal parameter for prognostic purposes. In this study, we aim to investigate whether we can optimize the use of tau-PET for prognostic purposes. We aim to compare a variety of individualized and group-level tau-PET parameters (reflecting tau load, tau extent, tau stage and tau location) in their prognostic accuracies. We will perform linear regressions and linear mixed models with cross-sectional and longitudinal cognition scores as outcome variable and tau-parameters as predictor variables, adjusted for relevant covariates such as age, sex, education and APOE e4 carriership. |
| Additional Investigators |
