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: | Lakshika Gamage |
| Institution: | University of Colombo School of Computing |
| Department: | Computation and Intelligent Systems |
| Country: | |
| Proposed Analysis: | Diffusion magnetic resonance imaging provides an exclusive on brain anatomy that allows exploring the brain's structural connectivity in vivo and non-invasive. Fibre tractography using diffusion MR imaging is a promising method for reconstructing the human brain white matter’s 3D fibre (curve) architecture. Alzheimer’s disease is a disconnection syndrome in which brain regions become physically and functionally detached one after the other as the disease progresses. Early identification of Alzheimer’s disease, particularly in the pre-symptomatic period, is critical for slowing or preventing disease progression. Alzheimer’s related structural and functional biomarkers have been developed by advanced neuroimaging techniques, such as positron emission tomography, structural MRI, diffusion MRI, and functional MRI. This proposed research focuses on investigating the morphological changes in the Alzheimer’s disease brain and developing a robust method for Alzheimer’s detection using 3D curve analysis of the major white matter bundles. Features extraction from best curves and average curves in the six major fiber bundles is the main investigation of this proposed research. We have proposed to create six major fiber bundles from Diffusion MRI of the Normal subjects and Alzheimer’s subjects with many medical image processing steps such as pre-processing, registration, whole-brain fibre tracking, and segmenting the major bundles. This feature extraction can be used to compare the normal cognitive subjects and Alzheimer's subjects by using graph neural network. The result will be shown significant individual differences in each of the major bundles. In the future, we should analyze the morphological changes in the Alzheimer's disease by using more major white matter fiber bundles |
| Additional Investigators |
