BA/BSc (Hons) PhD
SSNAP Fellow in Paediatric Neuroscience
The fellowship is supported by the SSNAP 'Support for the Sick Newborn and their Parents' Charity.
I studied Mathematics and Neuroscience at the University of Melbourne, with Doctoral research focusing on novel methods for analysing functional MRI studies of the human brain in health and disease. I continued my work at the FMRIB group, where I worked developing MRI techniques for Drug Discovery, focusing on analgesics, and contributing to the widely used MRI research software package, FSL.
Recently, I have been working on the Developing Human Connectome Project, the world's largest MR-imaging study of perinatal brain development, which aims to build a map of the developing connectivity of the human brain using a variety of MRI measures in utereo and post-birth.
In my SSNAP Fellowship I aim to translate my expertise in human neuroimaging methods to further the PIPA group's striving to understand and measure pain in newborns, developing imaging methods that accommodate the extraordinary changes that occur in early life, and facilitate the translation of neuroscience tools and insights into techniques appropriate for vital clinical trials.
Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants
Baxter L. et al, (2019), NeuroImage, 186, 286 - 300
Behavioural discrimination of noxious stimuli in infants is dependent on brain maturation
Green G. et al, (2018), PAIN, 1 - 1
Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination.
Sala-Llonch R. et al, (2018), Hum Brain Mapp
Disambiguating brain functional connectivity.
Duff EP. et al, (2018), Neuroimage, 173, 540 - 550
A Predictive Approach to Identify Clinical State, Emotional Valence and Pharmacologic Effect in Human Task-Based fMRI Data
Barron D. et al, (2018), BIOLOGICAL PSYCHIATRY, 83, S403 - S403