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: | Gabriel Ziegler |
| Institution: | University of Magdeburg |
| Department: | Institute for Cognitive Neurology |
| Country: | |
| Proposed Analysis: | We apply the dynamical systems framework (Ziegler et al., 2017, NeuroImage) to model longitudinal AD disease progression using data of the ADNI cohort including MRI and PET biomarkers and neuropsychology. In degenerative disease, its hypothesized that protein-related variables perturb brain states causing periods of rapid tissue loss. We specify a system describing local grey matter volume shrinkage in (1) medial temporal lobe and inter-connected fronto-temporo-parietal regions; and (2) cognitive memory integrity using test scores. Additionally, a (3) hidden cause is inferred to reflect (potentially multispectral) protein-load driving shrinkage and cognitive decline. Temporal delays in the pathological cascade transitioning between key processes (protein, volume, cognition) will be captured by time-lagged interactions using intermediate state processes of local micro-structural integrity. Using this disease model we explore how quickly pathology in one region propagates to another, and perform model comparison of alternative disease cascades in the brain. Finally, the framework’s potential for individual predictions (of future cognitive performance in single patients) is evaluated as a promising translational tool. |
| Additional Investigators | |
| Investigator's Name: | Anna Ostendorf |
| Proposed Analysis: | As part of the dynamic multimodal progression modelling we jointly aim to analyze a subsample with available Tau PET of the ADNI dataset. More specific we aim to explore the individual differences of Tau across clinical groups, and its relation to cognition and morphometric differences and changes. This is a precurser to use this during dynamical longitudinal modelling. |
