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: | Albert Yang |
| Institution: | National Yang Ming Chiao Tung University |
| Department: | Digital Medicine Center |
| Country: | |
| Proposed Analysis: | Smart brain imaging platform for assessing Alzheimer’s disease Background: Alzheimer's Disease (AD) is the most common dementia. Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and dementia. The number of patients with dementia worldwide is expected to increase rapidly, which will have a major impact on the social economy and a heavy burden on the medical system. The goal of this project is to use the public AD database to establish smart medical care for the risk assessment of neurodegenerative diseases, and early application of detection and disease progression prediction. Methods: We will utilize the ADNI database and examine detailed demographic variables, neuropsychological assessment, genotyping, neuroimaging and blood biomarkers. Based on this database, we will use structural, functional, and diffusion tensor imaging neuroimaging big data to build different levels of dementia brain maps, cross-analyze with the genotypic variants and potential blood biomarkers we have discovered, and combine clinical neuropsychology assessment to establish links to several different aspects of information. Expected results: We will build different levels of dementia brain maps based on this multi-faceted dementia neuroimaging big data. This map will be able to analyze the most relevant brain structures or brain areas with abnormal functions in different stages of dementia, and analyze the connectivity of each brain area and genotype variation or blood biomarkers as an objective tool to assist in the assessment of dementia. We will also build a visual brain imaging network platform, which can not only provide the analysis results of dementia brain images, but also combine various aspects of information to provide the location and damage degree of brain lesions related to dementia. Impact: The increase in computer computing power and the establishment of brain image databases have brought a new era of machine learning applied to brain image big data. The application of machine learning methods can effectively help find brain image changes related to dementia. More importantly, the development of the intelligent brain imaging platform, in addition to assisting neurologists in the objective assessment of dementia, is also crucial for analyzing the similarities and differences among AD patients. |
| Additional Investigators |
