Brain Modelling Group

The Brain Modelling Group mainly focus on neuroimaging data and electrophysiological recordings, and with a little machine learning and network science we tackle problems in psychiatry and neurology. We are also working in the medtech space (both medical device hardware and software), and partnering with clinician collaborators to run a clinical trial. This computational neuroscience work currently follows two major themes: developing new diagnostic methods for neonatal brain health and modelling large-scale brain activity across the lifespan. In neonates, the group uses techniques from physics and machine learning to extract more information than ever before from intensive care monitoring of babies born prematurely. The goal is to enable early detection of injuries and early prognosis of developmental outcomes, so that clinicians can optimise care with personalised markers of brain health, potentially opening the window for new treatments. On the modelling side, the group is harnessing the rapid developments in neuroimaging technology and connectomics to develop new mathematical models of brain activity, in particular at the spatial scales most relevant to human health. The goal is to fill in some of the large gaps in our knowledge of how neuroimaging brain signals emerge from brain structure, on how this relationship varies as we grow and age, and how things can go wrong leading to neurological and psychiatric disorders.

• National Health and Medical Research Council
• Margaret Pemberton Foundation
• ARC