People

Classification, Cartesian Genetic Programming, Evolutionary Algorithms, Machine Learning, MRI/fMRI data analysis, Mediation Analysis, and Neurodegenerative Diseases Diagnosis (Biomarkers) and Monitoring.

I am interested in the vulnerability of the ageing brain, especially changes cognitive ability and behaviour that can occur as part of healthy ageing, or as a result of diseases such as stroke or dementia.

My PhD project focuses on changes in cognitive ability in cerebral small vessel disease and how this might relate to structural brain changes that occur throughout the disease course.

During my PhD I have conducted a systematic review on the associations between domain specific cognitive ability and structural brain changes (visible on MRI) in sporadic small vessel disease. I am also employing structural equation modelling techniques to investigate the relationship between visible MRI markers of sporadic small vessel disease and cognitive ability longitudinally in several large cohorts.

My research aims to better characterise the cognitive symptomatology of cerebral small vessel disease and its trajectory over the disease course; examine how this relates to underlying changes in brain structure; and to explore how we can use neuroimaging, psychological and epidemiological data to more accurately predict outcomes for people with cerebral small vessel disease.

Supervisors: Professor Joanna Wardlaw and Professor Ian Deary

Extraction of morphological networks based on structural MRI, analysing network measures that can help in providing neuroimaging makers for dementia.

Brain Iron Deposition and Age-Related Cognitive Decline.