This project aims to investigate the joint influence of metabolic function and neural system activity on the development and progression of cardiovascular disorders. The central research question is whether integrating metabolic and neuroimaging markers can improve the prediction of cardiovascular risk compared to conventional models. The scientific rationale is based on emerging evidence that metabolic dysregulation and altered brain activity may jointly contribute to cardiovascular pathogenesis through shared pathways such as autonomic nervous system imbalance and systemic inflammation. Key objectives include developing integrated risk models using UK Biobank data, evaluating the individual and combined predictive value of metabolic and neural metrics, and identifying biomarker combinations that could inform early detection and personalized prevention strategies for cardiovascular disease.
