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Abstract
The purpose of our application is to elucidate the biological pathways through which the various markers of health and information available in the biobank dataset are linked with acute cerebrovascular events, magnetic resonance imaging features of cerebrovascular disease, cognitive decline and vascular dementia. It is known that vascular disease risk factors, such as smoking or diabetes, are related to cognitive performance. This paper investigates whether measurements of brain health derived from the MRI data, namely measures of how well the various areas of the brain are connected to each other, mediate the relationship between vascular risk factors and cognition. We found that there the relationship between cognition and risk factors are mediated by the brain network measures, which suggest that reducing vascular risk factors may preserve brain network connectivity and cognitive performance. This contributes to our understanding of how vascular risk factors contribute to cognitive decline.