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: | Sarah Bauermeister |
| Institution: | University of Oxford |
| Department: | Psychiatry |
| Country: | |
| Proposed Analysis: | Optimum family history and lifestyle on later life cortical thickness and subsequent cognitive outcomes: a multi-modal multi-analytical approach. Using machine learning and structural equation modelling, I propose to investigate the interaction of family history (genetic and behavioural), lifestyle (socio-economic status, occupation, physical/social/intellectual activity) on cortical thickness on later later cognitive outcomes, and dementia. The Hypothesis I will be exploring is that early life and genetic family history may affect later life cortical thickness (e.g. Gheorghe et al., BioRxiv) and that later life occupation and lifestyle might be a proxy for early life circumstances/or have a protective effect on cortical structure and cognition in later life. Of interest is later life socio-economic status and occupation and cortical thickness, and later life cognition. Machine learning (recurrent neural networks and random forest-LASSO) will be used to extract features of interest from the phenotypic data. Structural equation models will be used to feature latent constructs of interest for prediction models - cognitive and cortical outcomes, and mediation models. |
| Additional Investigators |
