We use 3-Tesla magnetic resonance imaging to study the structure and function of the human brain.
fMRI measures neural activity by detecting changes in blood flow within brain areas that are engaged during specific cognitive operations (e.g. the hippocampus during memory retrieval).
Our MRI research uses a variety of techniques including magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI) and voxel-based morphometry (VBM).
Human spatial navigation
Combining virtual reality with fMRI and multivariate pattern analyses to reveal the neural representations that support spatial navigation.
Forgetting in the human brain
Combining experimental psychology, computational modelling, and brain imaging to reveal how forgetting differs across brain regions.
Brain responses to 3D motion
Examining how the brain sees 3D motion by comparing signals from the left and right eyes.
Language production across the lifespan
Exploring how monolinguals and bilinguals produce the words that they want to say.
Semantic memory and thought
Using different methods to understand flexible semantic cognition.
Distraction and working memory
Examining how different types of distraction are ignored and how this relates to working memory capacity.
Neuroprotective effects of red light
Using computational modelling of light penetration to explore its effects on the brain.
Visual system in deaf adults
Measuring the anatomical and physiological changes in the eyes and brain associated with increased peripheral visual sensitivity in deaf adults.
Developmental dyscalculia and dyslexia
Using fMRI to explore developmental dyscalculia and dyslexia.
Competitive mechanisms in sentence processing
Exploring whether reading comprehension and production of sentences recruit similar brain mechanisms and connectivity patterns.
Listening under visual distraction
Measuring how we listen under visual distraction.
Neural representation of natural images
Using fMRI to measure patterns of neural response to objects and faces in the visual brain.