Precision magnetic field modelling and control for wearable magnetoencephalography

Rea, Molly; Holmes, Niall; Hill, Ryan M; Boto, Elena; Leggett, James; Edwards, Lucy J; David 4 Woolger; Dawson, Eliot; Shah, Vishal; Osborne, James; Bowtell, Richard; Brookes, Matthew J

Abstract

Optically-pumped magnetometers (OPMs) are highly sensitive, compact magnetic field sensors, which offer a viable alternative to cryogenic sensors (superconducting quantum interference devices – SQUIDs) for magnetoencephalography (MEG). With the promise of a wearable system that offers lifespan compliance, enables movement during scanning, and provides higher quality data, OPMs could drive a step change in MEG instrumentation. However, this potential can only be realised if background magnetic fields are appropriately controlled, via a combination of optimised passive magnetic screening (i.e. enclosing the system in layers of high-permeability materials), and electromagnetic coils to further null the remnant magnetic field. In this work, we show that even in an OPM-optimised passive shield with extremely low (

Citation

Rea, M., Holmes, N., Hill, R. M., Boto, E., Leggett, J., Edwards, L. J., David 4 Woolger, Dawson, E., Shah, V., Osborne, J., Bowtell, R., & Brookes, M. J. (2021). Precision magnetic field modelling and control for wearable magnetoencephalography. NeuroImage, 241, Article 118401. https://doi.org/10.1016/j.neuroimage.2021.118401

• Journal Article Type: Article
• Acceptance Date: Jul 13, 2021
• Online Publication Date: Jul 15, 2021
• Publication Date: Nov 1, 2021
• Deposit Date: Jul 15, 2021
• Publicly Available Date: Jul 22, 2021
• Journal: NeuroImage
• Print ISSN: 1053-8119
• Electronic ISSN: 1095-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 241
• Article Number: 118401
• DOI: https://doi.org/10.1016/j.neuroimage.2021.118401
• Public URL: https://nottingham-repository.worktribe.com/output/5786571
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1053811921006741
• Additional Information: © 2021 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)