The Brain Modelling Group models and analyses brain structure and dynamics in health and disease. This 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.
Team Head: Dr James Roberts
- Paula Sanz-Leon, Senior Research Officer
- Nathan Stevenson, Research Officer
- James Pang, Research Officer
- Shrey Dutta, PhD Student
Dr James Roberts’ complete list of publications can be viewed at his Google Scholar page.
- How is the brain’s blood flow response regulated by its vascular properties?
- Heart rate variability as a biomarker of neurological function in neonates
- Modelling brain dynamics across the lifespan
- Novel methods for monitoring brain activity in preterm babies
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