Enabling ambulatory movement in wearable magnetoencephalography with matrix coil active magnetic shielding

Holmes, Niall; Rea, Molly; Hill, Ryan M.; Leggett, James; Edwards, Lucy J.; Hobson, Peter J.; Boto, Elena; Tierney, Tim M.; Rier, Lukas; Rivero, Gonzalo Reina; Shah, Vishal; Osborne, James; Fromhold, T. Mark; Glover, Paul; Brookes, Matthew J.; Bowtell, Richard

Abstract

The ability to collect high-quality neuroimaging data during ambulatory participant movement would enable a wealth of neuroscientific paradigms. Wearable magnetoencephalography (MEG) based on optically pumped magnetometers (OPMs) has the potential to allow participant movement during a scan. However, the strict zero magnetic field requirement of OPMs means that systems must be operated inside a magnetically shielded room (MSR) and also require active shielding using electromagnetic coils to cancel residual fields and field changes (due to external sources and sensor movements) that would otherwise prevent accurate neuronal source reconstructions. Existing active shielding systems only compensate fields over small, fixed regions and do not allow ambulatory movement. Here we describe the matrix coil, a new type of active shielding system for OPM-MEG which is formed from 48 square unit coils arranged on two planes which can compensate magnetic fields in regions that can be flexibly placed between the planes. Through the integration of optical tracking with OPM data acquisition, field changes induced by participant movement are cancelled with low latency (25 ms). High-quality MEG source data were collected despite the presence of large (65 cm translations and 270° rotations) ambulatory participant movements.

Citation

Holmes, N., Rea, M., Hill, R. M., Leggett, J., Edwards, L. J., Hobson, P. J., …Bowtell, R. (2023). Enabling ambulatory movement in wearable magnetoencephalography with matrix coil active magnetic shielding. NeuroImage, 274, Article 120157. https://doi.org/10.1016/j.neuroimage.2023.120157

• Journal Article Type: Article
• Acceptance Date: May 3, 2023
• Online Publication Date: May 5, 2023
• Publication Date: Jul 1, 2023
• Deposit Date: Jul 21, 2023
• Publicly Available Date: Jul 25, 2023
• Journal: NeuroImage
• Electronic ISSN: 1095-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 274
• Article Number: 120157
• DOI: https://doi.org/10.1016/j.neuroimage.2023.120157
• Public URL: https://nottingham-repository.worktribe.com/output/20553698
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1053811923003087?via%3Dihub