Contact information
Collaborators
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Rebeccah Slater
Professor of Paediatric Neuroscience
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Luke Baxter
Senior Research Scientist
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Fiona Moultrie
Postdoctoral Researcher
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Caroline Hartley
Associate Professor & Wellcome Trust/Royal Society Sir Henry Dale Fellow
Eugene Duff
BA/BSc (Hons) PhD
Oxford Excellence Fellow in Paediatric Neuroimaging
I lead research focused on the conceptual and methodological challenges faced in inferring brain states from functional neuroimaging measurements. My current work, supported by an Oxford Excellence Fellowship in Paediatric Neuroimaging, aims to improve our ability to make inferences about the infant experience pain, looking towards better endpoints for clinical trials and clinical monitoring. I collaborate with Professor Rebeccah Slater and other members of the Paediatric Neuroimaging Group.
I am a member of the Developing Human Connectome Project, where I collaborate with Professor Stephen Smith, Dr Sean Fitzgibbon and Dr Slava Karolis from the WIN Analysis Group to develop fMRI methodology to study the maturation of fetal and neonatal brain function.
My fellowship is supported by the SSNAP 'Support for the Sick Newborn and their Parents' Charity, who provide a variety of vital services for families with sick newborns in the John Radcliffe Hospital’s Newborn Care Unit.
I contribute to the Brain Imaging Data Structure and am Treasurer of the Organisation for Human Brain Mapping Open Science Special Interest Group.
Key publications
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Inferring pain experience in infants using quantitative whole-brain functional MRI signatures: a cross-sectional, observational study.
Duff EP. et al, (2020), Lancet Digit Health, 2, e458 - e467
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Challenges and future directions for representations of functional brain organization.
Bijsterbosch J. et al, (2020), Nat Neurosci
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The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Fitzgibbon SP. et al, (2020), Neuroimage, 223
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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
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Disambiguating brain functional connectivity
Duff EP. et al, (2018), NeuroImage, 173, 540 - 550
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Learning to identify CNS drug action and efficacy using multistudy fMRI data
Duff EP. et al, (2015), Science Translational Medicine, 7, 274ra16 - 274ra16
Recent publications
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Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity
Baxter L. et al, (2021), Nature Communications, 12
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The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Fitzgibbon SP. et al, (2020), Neuroimage, 223
-
Challenges and future directions for representations of functional brain organization.
Bijsterbosch J. et al, (2020), Nat Neurosci
-
Inferring pain experience in infants using quantitative whole-brain functional MRI signatures: a cross-sectional, observational study.
Duff EP. et al, (2020), Lancet Digit Health, 2, e458 - e467
-
Inferring pain experience in infants using quantitative whole-brain functional MRI signatures: a cross-sectional, observational study
Duff EP. et al, (2020), The Lancet Digital Health, 2, e458 - e467