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: | Léonie Borne |
| Institution: | University of Newcastle |
| Department: | Systems Neuroscience Group |
| Country: | |
| Proposed Analysis: | The proposed analysis consists of identifying anatomical markers of dementia by analyzing structural MRIs from the ADNI database and comparing with other comparable large studies of ageing and dementia, including AIBL. In particular, sulcal measures (sulcal width and cortical thickness around the sulci) appear to be very promising. This type of measurements nevertheless requires a prior labeling of the sulci. For this purpose, this analysis will be based on an automatic cortical sulci recognition algorithm, recently proposed in the BrainVISA toolbox. This analysis will aim to study the covariation with measures of memory, language and executive function using unsupervised machine learning across controls, MCI and AD. In controls, the role of dementia risk (years of education, vascular risk, age, family and genetic factors) will be examined in modifying or mediating these relationships. |
| Additional Investigators |
