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
-
Sensory event-related potential morphology predicts age in premature infants
Preprint
Zandvoort CS. et al, (2023)
-
Brain age as an estimator of neurodevelopmental outcome: A deep learning approach for neonatal cot-side monitoring
Preprint
Ansari A. et al, (2023)
-
Functional network construction using functional MRI
Chapter
Baxter L., (2023), Connectome Analysis: Characterization, Methods, and Analysis, 45 - 69
-
Proceedings of the 14th International Newborn Brain Conference: Fetal and/or neonatal brain development, both normal and abnormal
Journal article
Abdi K. et al, (2023), Journal of neonatal-perinatal medicine, 16, S1 - S19
-
Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications.
Journal article
Warrington S. et al, (2022), Sci Adv, 8