Stephanie Mellor

This paper presents a lightweight, low-cost MEG system that enables brain imaging without a magnetically shielded room, achieving comparable signal-to-noise ratios to conventional systems.

The paper tests a computational model of perceived control over breathing by analyzing data from a novel behavioral task, finding that perceived control depends on interoceptive outcomes and prediction errors.

This study compares boundary element and finite element methods for forward modelling in magnetospinography, finding consistent results between methods but significant differences based on bone geometry representations.

This study compares volume conductor models to determine their impact on magnetic field predictions from spinal cord current flow.

The paper presents a multimodal dataset of wearable MEG and EMG recordings during human stepping, validated with beta band desynchronization in the primary motor cortex.

This paper combines video telemetry with wearable MEG to analyze naturalistic movement and neural activity during dance.

This study evaluates the test-retest reliability and validity of auditory MMN measured with OPM-MEG, finding good agreement with EEG/MEG results and reliable amplitude measures.

The paper demonstrates non-invasive imaging of brain, spinal cord, and muscle interactions during movement using optically-pumped magnetometers.

This paper adapts multipole models for OPM data to improve interference rejection and signal stability across different sensor designs.

The paper investigates high-frequency brain activity in the temporal lobes using MEG data, finding a bilateral network but uncertainty about its origin.

This study uses OP-MEG to detect cerebellar activity during human eyeblink conditioning, finding evoked responses that diminish with learning and occur before conditioned blinks.

This paper evaluates noise rejection and spatial sampling in multi-axis OPMs using spherical harmonics and eigenspectra, finding triaxial configurations offer superior performance.

This study demonstrates that OP-MEG can measure neural activity during significant head movements, including standing and large natural movements, with consistent auditory evoked fields.

The paper tests covariance models for MEG source reconstruction, finding that incorporating a correlated hippocampal source model improves model evidence.

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

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.

The paper models magnetic interference in optically pumped magnetometers as a mean field to improve statistical power and reduce sensor variability.

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.