Summary
Eugene Duff’s research focuses on analytic and computational challenges in resolving spatial and temporal properties of brain structure and function. He has worked extensively in neuroimaging, and at the UK DRI at Imperial College focuses on a variety of single cell and spatial transcriptomic techniques that can reveal genomic signatures of the emergence of dementia. His interests include inference on complex neurobiological datasets, multi-study integration and the development of reproducible analysis pipelines. He works closely with Professor Paul Matthews, Dr Nathan Skene and other researchers in the centre.
Eugene studied mathematics and neuroscience at the University of Melbourne, before completing a PhD based at the Howard Florey Institute focused resolving the complex spatio-temporal dynamics of neural activity as measured by functional MRI. Moving to the FMRIB Centre, Oxford, he continued working in this field, leading research focused on the conceptual and methodological challenges faced in inferring brain and subjective states from functional measurements, and the clinical translation of these inferences. In particular, he developed protocols for the identification of signatures of drug action and pain and helped to develop analysis pipelines for fMRI and EEG studies of infants. An Oxford Excellence Fellowship in Paediatric Neuroimaging enabled Eugene to contribute to work on neuroimaging approaches to the measurement of infant pain, targeting clinical trials and clinical monitoring. He has contributed to the Brain Imaging Data Structure (BIDS) and was Treasurer of the Organisation for Human Brain Mapping Open Science Special Interest Group. Eugene has ongoing collaborations with Professor Stephen Smith at the Wellcome Centre for Integrative Neuroimaging, Oxford, and with the Paediatric Neuroimaging Group, Oxford.
Publications
Journals
Fenn-Moltu S, Fitzgibbon SP, Ciarrusta J, et al. , 2023, Development of neonatal brain functional centrality and alterations associated with preterm birth, Cerebral Cortex, Vol:33, ISSN:1047-3211, Pages:5585-5596
Duff E, Zelaya F, Almagro FA, et al. , 2022, Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study, Plos One, Vol:17, ISSN:1932-6203
Eyre M, Fitzgibbon SP, Ciarrusta J, et al. , 2021, The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity (vol 144, awab118, 2021), Brain, Vol:144, ISSN:0006-8950
Levitis E, van Praag CDG, Gau R, et al. , 2021, Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective., Gigascience, Vol:10
Bordin V, Bertani I, Mattioli I, et al. , 2021, Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets., Neuroimage, Vol:237, ISSN:1053-8119, Pages:1-17