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: | zoé Q |
| Institution: | Shanghai University of Finance and Economics |
| Department: | School of Statistics and Management |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) is an irreversible and progressive brain disorder that can lead to more and more serious dementia symptoms over a few years. I want to find some breakthroughs for Alzheimer’s disease with my statistical knowledge. Neuroimaging data collected by diffusion tensor imaging (DTI) is a commonly used tool recently, and the fractional anisotropy (FA) and parallel diffusivity (L0) values measured at locations along the well-identified white matter tracts in the brain, such as the corpus callosum (CCA), are worth researching seriously. FA or L0 values measured along white matter tracts can be seen as functions and it’s more suitable to analyze it by functional data analysis (FDA) methods, such as functional principal component analysis (FPCA). Specifically, we’re going to use the DTI data and demographic features to identify the location of white matter tracts where the difference between different levels of AD status are significant, and to predict the status of AD, which can be used to help with diagnosis and gain insight into the cause of AD. |
| Additional Investigators |
