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: | Mohammed Alghamdi |
| Institution: | The University of New South Wales |
| Department: | Neuroscience - Faculty of Medicine |
| Country: | |
| Proposed Analysis: | Our project will investigate the association of SVD with ageing-related cognitive decline and the impact of SVD on brain networks using fMRI data analysis approaches (Independent Component Analysis (ICA) and Seed-Voxel Analysis) and structural MRI to distinguish between SVD, Alzheimer’s disease and healthy ageing. Differentiating phenotypic changes using a combination of structural and network MRI, and plasma protein profiles associated with dementia, is not only of fundamental scientific interest, but also key to implementing strategies of good health maintenance throughout life. Vascular Dementia (VaD) is a particularly complex disease with a variety of risk factors, multiple biochemical changes, and long lead-time prior to disease diagnosis. Detection of early changes prognostic of disease progression or differentiation from purely vascular changes is critical to early intervention, providing a practical alternative to PET or cerebrospinal fluid biomarkers. |
| Additional Investigators | |
| Investigator's Name: | Nady Braidy |
| Proposed Analysis: | Our project will investigate the association of SVD with ageing-related cognitive decline and the impact of SVD on brain networks using fMRI data analysis approaches (Independent Component Analysis (ICA) and Seed-Voxel Analysis) and structural MRI to distinguish between SVD, Alzheimer’s disease and healthy ageing. Differentiating phenotypic changes using a combination of structural and network MRI and plasma protein profiles associated with dementia, is not only of fundamental scientific interest, but also key to implementing strategies of good health maintenance throughout life. Vascular Dementia (VaD) is a particularly complex disease with a variety of risk factors, multiple biochemical changes, and long lead-time prior to disease diagnosis. Detection of early changes prognostic of disease progression or differentiation from purely vascular changes is critical to early intervention, providing a practical alternative to PET or cerebrospinal fluid biomarkers. |
