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.
Nociceptive brain activity as a measure of analgesic efficacy in infants
Hartley C. et al, (2017), Science Translational Medicine
Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.
Khalili-Mahani N. et al, (2017), Hum Brain Mapp, 38, 2276 - 2325
Hand classification of fMRI ICA noise components.
Griffanti L. et al, (2016), Neuroimage
Optimal Echo Time for Functional MRI of the Infant Brain Identified in Response to Noxious Stimulation
Goksan S. et al, (2016), Magnetic Resonance in Medicine
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Gorgolewski KJ. et al, (2016), Sci Data, 3