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: | Huang Xin |
| Institution: | Central South University |
| Department: | computer |
| Country: | |
| Proposed Analysis: | The proposed analysis aims to address the research question of investigating the relationship between Alzheimer's disease (AD) and imaging genetics. The analysis will utilize publicly available neuroimaging and genomic datasets. The data will undergo preprocessing steps, including data cleaning and normalization, to ensure data quality and consistency. For the analysis, a combination of machine learning techniques and statistical methods will be employed. Machine learning algorithms, such as support vector machines and deep learning models, will be utilized to identify patterns and correlations between genetic variations and imaging features in AD. Additionally, statistical tests, such as correlation analysis and regression models, will be applied to assess the associations between genetic markers and specific imaging biomarkers. The proposed analysis will provide insights into the genetic basis of AD and its impact on brain imaging phenotypes, contributing to a better understanding of the disease and potential biomarkers for early detection and personalized treatment strategies. |
| Additional Investigators |
