James Leggett

This paper introduces wearable magnetoencephalography for hyperscanning, enabling naturalistic social interaction studies with high-fidelity data.

This paper models and corrects magnetic field variations in moving OP-MEG data to reduce movement artefacts.

This study demonstrates that a wearable OPM-MEG system can accurately characterize brain networks, showing high similarity to data from a cryogenic MEG system.

This paper investigates the optimal number and placement of sensors in wearable MEG systems, showing that few sensors at coarse sampling can achieve adequate spatial discrimination under high SNR.

This paper investigates the use of mouth-based sensors in magnetoencephalography (MEG) to study the human hippocampus, finding that mouth sensors show unique task-related activity and anti-correlation with temporal lobe sensors.

The paper constructs and evaluates a 49-channel whole-head OPM-MEG system, showing comparable performance to cryogenic MEG with a rigid helmet design.

This paper demonstrates that optically-pumped magnetometers improve cerebellar MEG signal detection by reducing sensor distance and increasing SNR, revealing evoked and induced responses to sensory stimuli.