Throughout my PhD (Royal Holloway University of London, 2009) my research focused on three main areas: (i) Prefrontal-cerebellar information processing, (ii) Comparative neuroanatomy, and (iii) Aspects of fMRI methods. Outside of my doctoral research, I have also provided technical expertise in fMRI methodology in investigations of Theory of Mind, reward processes in the basal ganglia, and preparatory activity in the premotor system. These collaborations have given me some experience in using other methods such as TMS, simultaneous EEG-fMRI, and new statistical methods to investigate connectivity in fMRI data (e.g. coherence analyses and granger causality).

I am currently a postdoctoral research fellow at Trinity College Institute of Neuroscience working on ‘Translational research accelerating the development of novel therapies for Alzheimer’s disease’. Specifically my role is to establish simultaneous EEG-fMRI at two sites (TCIN and St James’ Hospital) with the goal of investigating the neuronal consequences of aging, dementia (MCI), and drug therapies.

Whilst at Royal Holloway I was involved in a number of additional research projects (listed below). These projects gave me the opportunity expand on my current skill set and gain experience of additional techniques and analysis methods, e.g. TMS, combined EEG-fMRI, and coherence analysis applied to fMRI data.

fMRI Methods

• Low Frequency noise in fMRI data (Smith, Singh, & Balsters, 2007)
• Insufficiency of the informed basis set for fMRI analysis

Cognitive Neuroscience

• Contingency and reward in the nucleus accumbens
• Inactivation of preparatory processing in PMd using TMS
• Monitoring the outcomes of others actions (Theory of mind)
• Prefrontal-cerebellar connectivity during rule-learning

Neuroanatomy

• Probablistic neuroanatomy of the cerebellum (Diedrichsen et al., 2009)