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Contact information

Email
eugene.duff@paediatrics.ox.ac.uk

Research groups

Collaborators

Rebeccah Slater

Professor of Paediatric Neuroscience
Luke Baxter

Principal Scientist
Fiona Moultrie

Postdoctoral Researcher
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

Challenges and future directions for representations of functional brain organization.

Bijsterbosch J. et al, (2020), Nat Neurosci, 23, 1484 - 1495

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

Fitzgibbon SP. et al, (2020), Neuroimage, 223

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

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

Disambiguating brain functional connectivity

Duff EP. et al, (2018), NeuroImage, 173, 540 - 550

Learning to identify CNS drug action and efficacy using multistudy fMRI data

Duff EP. et al, (2015), Science Translational Medicine, 7

Recent publications

Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity

Baxter L. et al, (2021), Nature Communications, 12

Challenges and future directions for representations of functional brain organization.

Bijsterbosch J. et al, (2020), Nat Neurosci, 23, 1484 - 1495

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

Fitzgibbon SP. et al, (2020), Neuroimage, 223

Modelling subject variability in the spatial and temporal characteristics of functional modes.

Harrison SJ. et al, (2020), Neuroimage, 222

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

More publications