Molly Rea
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
Authors
NIALL HOLMES NIALL.HOLMES@NOTTINGHAM.AC.UK
Mansfield Research Fellow
Ryan M Hill
Dr ELENA BOTO ELENA.BOTO@NOTTINGHAM.AC.UK
Senior Research Fellow
JAMES LEGGETT JAMES.LEGGETT@NOTTINGHAM.AC.UK
Technical Specialist - Opm Meg
Lucy J Edwards
David 4 Woolger
Eliot Dawson
Vishal Shah
James Osborne
Professor RICHARD BOWTELL RICHARD.BOWTELL@NOTTINGHAM.AC.UK
Professor of Physics
MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
Professor of Physics
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
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(3.3 Mb)
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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