Luke Baxter
PhD, MSc, BSc
Senior Research Scientist
Luke is currently a PhD student studying neonatal pain in Prof Rebeccah Slater’s lab. He is interested in the unique challenges faced during infant MRI, such as differences in brain structure and physiology and large degree of subject motion compared to healthy adults. He has focused on optimising preprocessing and analysis methods tailored to this age group. Luke is also interested in understanding the sources of individual variability in response to noxious stimuli, with a focus on spontaneous brain activity. Specifically, he is interested in looking at how resting-state fMRI activity relates to patterns of noxious-evoked brain activity and pain-related behaviour in newborn infants.
This research could increase our understanding of individual infant's sensitivity to pain and how this might change over time and with experience. An fMRI-derived subject-specific metric of noxious evoked activity may also be an invaluable addition in the repertoire of metrics used in infant pain research.
Luke is currently a member of St Cross College, completed his MSc in Neuroscience in 2014 at University of Oxford and his BSc in Neuroscience in 2013 at University College Cork.
Recent publications
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The association between ibuprofen administration in children and the risk of developing or exacerbating asthma: a systematic review and meta-analysis.
Journal article
Baxter L. et al, (2024), BMC Pulm Med, 24
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Establishing a standardised approach for the measurement of neonatal noxious-evoked brain activity in response to an acute somatic nociceptive heel lance stimulus.
Journal article
Aspbury M. et al, (2024), Cortex, 179, 215 - 234
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ENIGMA-Chronic Pain: a worldwide initiative to identify brain correlates of chronic pain.
Journal article
Quidé Y. et al, (2024), Pain
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Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome
Journal article
Ansari A. et al, (2024), Clinical Neurophysiology, 163, 226 - 235
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A machine learning artefact detection method for single-channel infant event-related potential studies.
Journal article
Marchant S. et al, (2024), J Neural Eng