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: | Monica Truelove-Hill |
| Institution: | University of Edinburgh |
| Department: | Psychology |
| Country: | |
| Proposed Analysis: | The study of cognitive reserve is increasingly being recognized as important for investigating the effects of clinical progression in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). In particular, the inter-individual variability in the cognitive changes associated with the progression of AD highlights the need to understand the underlying mechanisms contributing to these differences(Jack et al., 2013).Longitudinal studies of CR can provide valuable insight into these mechanisms and their implications for preserving cognitive function over time. By examining the impact of CR on the progression of AD and MCI, we can gain a deeper understanding of the inter-individual variability in the cognitive changes associated with these conditions. We aims to identify a task-invariant CR PET network using SEM. SEM provides a flexible framework to simultaneously model the relationships between multiple observed and latent variables. This includes the ability to account for measurement error and to model latent constructs, CR, that are not directly observable. The pattern score calculated in this step will be used further for moderation analysis, i.e. the slope of the relationship between brain volume and clinical progression will be tested for a dependence on expression of the task-invariant CR pattern. |
| Additional Investigators |
