My research seeks to determine how cognitive function arises from the topographical organization and complex dynamics in the brain. My integrative, interdisciplinary approach combines behavioural paradigms with state-of-the-art multimodal brain imaging (structural/functional MRI, PET and EEG) and computational neuroimaging approaches using mathematical models, network science and information theory to investigate functional organisation in the human brain. More recent research directions include: attempting to bridge micro- and macroscopic levels in neuroscience by investigating associations between brain network connectivity and gene expression; studying the influence of brainstem neurotransmitter/neuromodulator systems on cortical/subcortical networks and the use of deep graph convolutional neural networks to identify patients with disorders of consciousness with covert cognitive capacity.
