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: | Matthias Arnold |
| Institution: | Helmholtz Zentrum München |
| Department: | Institute of Computational Biology |
| Country: | |
| Proposed Analysis: | Analysis of multi-variate mixed gaussian and regression models to integrate all available potential predictors (blood and CSF biomarkers, metabolomics data, genetic data, imaging, clinical variables, diagnostic elements) for AD into one framework in order to investigate (in the best case) globally the key effectors of AD onset and progression. |
| Additional Investigators | |
| Investigator's Name: | Maria Wörheide |
| Proposed Analysis: | Development of an informatics framework based on the graph database system Neo4J for the integration of complex, diverse multi-omics data to study pathogenic processes in AD. |
| Investigator's Name: | Nick Lehner |
| Proposed Analysis: | Development of an informatics framework based on the graph database system Neo4J for the integration of complex, diverse multi-omics data to study pathogenic processes in AD. |
| Investigator's Name: | Patrick Dreher |
| Proposed Analysis: | Analysis of longitudinal metabolomics data generated through the Alzheimer's disease metabolomics consortium (ADMC) in relation to longitudinal phenotypic data in ADNI to identify longitudinal blood-based readouts predictive of clinical trajectories. |
| Investigator's Name: | Gabi Kastenmüller |
| Proposed Analysis: | Analysis of longitudinal metabolomics data generated through the Alzheimer's disease metabolomics consortium (ADMC) in relation to longitudinal phenotypic data in ADNI to identify longitudinal blood-based readouts predictive of clinical trajectories. |
| Investigator's Name: | Tong Wu |
| Proposed Analysis: | Analysis of longitudinal metabolomics and lipidomics data with a focus on gut microbiome-influenced metabolites to further investigate the hypothesized gut-liver-brain biochemical axis in Alzheimer's disease. |
| Investigator's Name: | Bharadwaj Marella |
| Proposed Analysis: | Analysis of longitudinal metabolomics data generated through the Alzheimer's disease metabolomics consortium (ADMC) in relation to longitudinal phenotypic data in ADNI to identify longitudinal blood-based readouts predictive of clinical trajectories. |
