ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | David Cash |
| Institution: | University College London |
| Department: | Institute of Neurology |
| Country: | |
| Proposed Analysis: | Our group is currently one of the analysis centres for the Dominantly Inherited Alzheimer Network (DIAN). As the sites in DIAN are also members of ADNI and AIBL, we have hoped to use data from these cohorts for two objectives. The first objective is to enrich longitudinal analysis of structural MRI, using volumetric measurements, VBM, and the boundary shift integral, by bringing in control subjects enrolled at sites also involved in DIAN. The second is to compare the results of subjects with familial Alzheimer's disease to subjects with sporadic forms of AD and mild cognitive impairment. By using data at sites also involved with DIAN, we hope to limit the amount of instrument based variability. |
| Additional Investigators | |
| Investigator's Name: | Kirsi Kinnunen |
| Proposed Analysis: | Our group is currently one of the analysis centres for the Dominantly Inherited Alzheimer Network (DIAN). As the sites in DIAN are also members of ADNI and AIBL, we have hoped to use data from these cohorts for two objectives. The first objective is to enrich longitudinal analysis of structural MRI, using volumetric measurements, VBM, and the boundary shift integral, by bringing in control subjects enrolled at sites also involved in DIAN. The second is to compare the results of subjects with familial Alzheimer's disease to subjects with sporadic forms of AD and mild cognitive impairment. By using data at sites also involved with DIAN, we hope to limit the amount of instrument based variability. |