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: | Jack Law |
| Institution: | Hunan Normal University |
| Department: | Department of Mathematics and Applied Mathematics |
| Country: | |
| Proposed Analysis: | On a cohort-level, cross-sectionally, changes in cortical shape and structural connectivity between brain regions have been correlated with age, and markers of disease severity or progression. These changes include local or global shape alterations, increased or reduced connectivity between specific regions, or a widespread network reorganisation. However, the relationship and causality of the processes and the morphological and connectivity changes are generally not established. Thus, longitudinal tracking of individual subjects alongside with ageing/disease outcome variables are crucial in developing individualised neuroimaging markers of ageing, degenerative processes, progressive diseases, and restoration. We propose to use large-scale open-access longitudinal structural neuroimaging datasets to establish the relationship between morphological and connectivity changes across different processes, and relate them to outcome measures of the process. We will use healthy ageing as an initial process, given the previous work on brain-age prediction; and outcome measures will include age and other neuropsychological measures. Having established a baseline with healthy ageing, we propose to then turn to dementia and epilepsy as application domains, given the strength and expertise in the supervisory team in those areas. |
| Additional Investigators |
