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: | Anna Dewenter |
| Institution: | Institute for Stroke and Dementia Research |
| Department: | Klinikum der Universität München |
| Country: | |
| Proposed Analysis: | Vascular contributions to Alzheimer's Disease |
| Additional Investigators | |
| Investigator's Name: | Anna Steward |
| Proposed Analysis: | Functional connectivity in Alzheimer's Disease |
| Investigator's Name: | Annemieke ter Telgte |
| Proposed Analysis: | Small acute brain infarcts can be detected as focal hyperintense lesions on the diffusion-weighted imaging (DWI) scan and are also termed DWI lesions. The prevalence of DWI lesions increases with age and severity of MRI markers of cerebral small vessel disease (SVD) and first data suggest that cases with a DWI lesion are at increased risk of poor clinical outcome. However, much is still unknown about the epidemiology of DWI lesions. As these lesions are usually asymptomatic and only detectable on the DWI scan for a short period (mostly up to 2-4 weeks after infarct onset), large datasets are required to provide reliable estimates on risk factors of DWI lesions and their prognosis. In order to obtain such large datasets, tools that automatically detect DWI lesions are essential. In this project, we aim to use ADNI data to develop a tool based on deep learning for the automated detection of DWI lesions. |
| Investigator's Name: | Nadja Gruber |
| Proposed Analysis: | Small acute brain infarcts can be detected as focal hyperintense lesions on the diffusion-weighted imaging (DWI) scan and are also termed DWI lesions. The prevalence of DWI lesions increases with age and severity of MRI markers of cerebral small vessel disease (SVD) and first data suggest that cases with a DWI lesion are at increased risk of poor clinical outcome. However, much is still unknown about the epidemiology of DWI lesions. As these lesions are usually asymptomatic and only detectable on the DWI scan for a short period (mostly up to 2-4 weeks after infarct onset), large datasets are required to provide reliable estimates on risk factors of DWI lesions and their prognosis. In order to obtain such large datasets, tools that automatically detect DWI lesions are essential. In this project, we aim to use ADNI data to develop a tool based on deep learning for the automated detection of DWI lesions. |
| Investigator's Name: | Davina Biel |
| Proposed Analysis: | We aim to investigate sex-differences in p-tau levels and metabolic decline. For the analysis we will include amyloid positive individuals with available CSF p-tau, as well as amyloid-PET and FDG-PET. |
| Investigator's Name: | Mattes Groß |
| Proposed Analysis: | Tau spreading in Alzheimer's Disease and its relation to 4-repeat Tauopathies. |
