Luke Baxter

This study examines how apnoea and breathing pauses affect brain activity in infants, finding reduced EEG amplitude during these events.

This paper shows that sensory-evoked potentials can accurately predict age in premature infants, with potential for early detection of abnormal neurodevelopment.

This paper develops a deep learning model to estimate brain age from neonatal EEG signals, achieving high accuracy with short recordings and showing correlation with neurodevelopmental outcomes.

This paper introduces a framework to study brain ontogeny and phylogeny by integrating connectivity maps across species and developmental stages.

The paper uses functional and diffusion MRI to predict infants' noxious-evoked brain activity from resting-state data and links it to white matter microstructure.

This paper introduces an automated pipeline for processing neonatal resting-state fMRI data, improving motion correction and quality assurance in the developing Human Connectome Project.

This paper translates adult fMRI pain signatures to infants, finding similar basic nociceptive encoding but differences in higher-level cognitive modulation of pain.

This study shows that motor cortex modulates somatosensory processing through a cortico-thalamo-cortical pathway, with thalamic circuits playing a key role in tactile suppression.