Skip to main content

Research Repository

Advanced Search

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

Precision magnetic field modelling and control for wearable magnetoencephalography Thumbnail


Authors

Molly Rea

NIALL HOLMES NIALL.HOLMES@NOTTINGHAM.AC.UK
Mansfield Research Fellow

Ryan M Hill

JAMES LEGGETT JAMES.LEGGETT@NOTTINGHAM.AC.UK
Technical Specialist - Opm Meg

Lucy J Edwards

David 4 Woolger

Eliot Dawson

Vishal Shah

James Osborne



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., …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/)

Files




You might also like



Downloadable Citations