St John's College
CDT Postgraduate Studentship in Healthcare Innovation (RCUK Digital Economy Programme grant number EP/G036861/1)
Investigating the effects of Deep Brain Stimulation on Tremor in Parkinson's Disease using Magnetoencephalography
Magnetoencephalography (MEG) is a powerful neuroimaging modality that measures the magnetic fields generated by neuronal activity in the brain. By applying source localisation techniques, the underlying neuronal sources of measured MEG activity may be estimated. The aim of my DPhil is to combine such localisation techniques with measures of functional connectivity to identify networks of functionally connected neuronal populations. My current work is focussed on characterising the temporal dynamics that underlie this connectivity using time varying connectivity measures and Hidden Markov models.
I aim to apply these methods to data measured from patients with Parkinson's disease to identify brain oscillations that are associated with Parkinsonian tremor. It is hoped that this information will allow more efficacious placement of deep brain stimulation (DBS).