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Published work

Have a look at some of our most 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

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

Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes.

Harrison SJ. et al, (2020), Neuroimage

Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

Bordin V. et al, (2020)

White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance

Melazzini L. et al, (2020)

Functional and diffusion MRI reveal the functional and structural basis of infants’ noxious-evoked brain activity

Baxter L. et al, (2020)

Inferring the infant pain experience: a translational fMRI-based signature study

Duff EP. et al, (2020)

Multimodal pain assessment improves discrimination between noxious and non‐noxious stimuli in infants

Vaart M. et al, (2019), Paediatric and Neonatal Pain, 1, 21 - 30

The Developing Human Connectome Project (dHCP) Automated Resting-State Functional Processing Framework for Newborn Infants

Fitzgibbon SP. et al, (2019), bioRxiv, 766030 - 766030

Structural variability in the human brain reflects fine-grained functional architecture at the population level.

Smith S. et al, (2019), J Neurosci

Inclusion of patient functional neuroimaging metrics in early analgesic drug development. Reply to Br J Anaesth 2018; 121: 969-71.

Wanigasekera V. et al, (2019), Br J Anaesth

Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes

Harrison S. et al, (2019)

Behavioural discrimination of noxious stimuli in infants is dependent on brain maturation

Green G. et al, (2019), Pain, 160, 493 - 500

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

Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination

Sala-Llonch R. et al, (2019), Human Brain Mapping, 40, 407 - 419

Large-scale intrinsic connectivity is consistent across varying task demands.

Kieliba P. et al, (2019), PLoS One, 14

Validation of an FMRI Based Classification Pipeline for Detecting Analgesic Efficacy from Neuroimaging Data

WANIGASEKERA V. et al, (2018)

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