Nicholas Alexander

This paper introduces a modular, cap-based design for wearable OPM-based MEG that improves accessibility and participant throughput while maintaining high signal quality and mobility.

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.

This paper presents a VR system integrated with wearable MEG to enable whole-brain recordings during naturalistic behaviors.

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.

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

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

The paper introduces fBOSC, a method to improve oscillatory burst detection by robustly estimating 1/f background activity in neural data.

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.

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

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