Neuroimaging, Brain Stimulation, Cerebellum, Connectivity, Networks
I am a neuroscientist at the University of Cambridge. I am interested in how different brain regions work together to achieve complex behaviours and how local neurochemistry underpins this interaction.
I study functional connectivity of the healthy human brain and disrupted connectivity in neurodevelopmental disorders, using multimodal neuroimaging and brain stimulation techniques. I have a particular interest in the cerebellum.
During my doctoral work at the University of Oxford, I showed that intrinsic connectivity in the cerebellum, a major node of the motor network, changes through motor adaptation in a performance-relevant manner. I also found that cortico-cerebellar connectivity change during adaptation correlates with retention of this adaptive motor memory: The more connectivity decreases between the primary motor cortex and the cerebellum, the more people retain adapted movements. These connectivity changes are related to neurochemical concentration levels in the cerebellum and in the primary motor cortex, suggesting a direct link between local neurochemical concentration, functional connectivity and behaviour in humans.
In my postdoctoral research at the University of Cambridge and the Alan Turing Institute, I focus on altered connectivity in developmental disorders. Here, I use network analysis and graph theory to study the role of incoherent language in psychotic disorders. Specifically, I apply natural language processing algorithms to language data from people with mental health conditions, with the aim of predicting diagnosis and clinical outcome and understanding the neural basis of disordered language in these conditions.