CDT Postgraduate Studentship in Healthcare Innovation (RCUK Digital Economy Programme grant number EP/G036861/1)
Identifying changes in connectivity in brain networks related to a risk gene for Alzheimer’s Disease.
Non-invasive brain imaging has made valuable contributions to the understanding of Alzheimer's disease (AD) pathology and holds great diagnostic potential. In particular, recent work has investigated the role played by a risk gene for AD brain activity. However, the study of changes in brain anatomy and physiology associated with AD using brain imaging has mainly focused on finding the specific brain areas affected by the disease. This project will investigate the role played by a risk gene for AD on the networks of brain function. Features within these networks have the potential to provide much more sensitive markers of AD. Thereby allowing diagnosis of the disease years ahead of what is currently possible, and allowing for timely therapeutic intervention.