RYAN HILL RYAN.HILL@NOTTINGHAM.AC.UK
Senior Research Fellow
RYAN HILL RYAN.HILL@NOTTINGHAM.AC.UK
Senior Research Fellow
Jasen Devasagayam
NIALL HOLMES NIALL.HOLMES@NOTTINGHAM.AC.UK
Mansfield Research Fellow
Dr ELENA BOTO ELENA.BOTO@NOTTINGHAM.AC.UK
Senior Research Fellow
Vishal Shah
James Osborne
Kristina Safar
Frank Worcester
Christopher Mariani
Eliot Dawson
David Woolger
Professor RICHARD BOWTELL RICHARD.BOWTELL@NOTTINGHAM.AC.UK
Professor of Physics
Margot J. Taylor
MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
Professor of Physics
Magnetoencephalography (MEG) has been revolutionised by optically pumped magnetometers (OPMs). “OPM-MEG” offers higher sensitivity, better spatial resolution, and lower cost than conventional instrumentation based on superconducting quantum interference devices (SQUIDs). Moreover, because OPMs are small, lightweight, and portable they offer the possibility of lifespan compliance and (with control of background field) motion robustness, dramatically expanding the range of MEG applications. However, OPM-MEG remains nascent technology; it places stringent requirements on magnetic shielding, and whilst a number of viable systems exist, most are custom made and there have been no cross-site investigations showing the reliability of data. In this paper, we undertake the first cross-site OPM-MEG comparison, using near identical commercial systems scanning the same participant. The two sites are deliberately contrasting, with different magnetic environments: a “green field” campus university site with an OPM-optimised shielded room (low interference) and a city centre hospital site with a “standard” (non-optimised) MSR (higher interference). We show that despite a 20-fold difference in background field, and a 30-fold difference in low frequency interference, using dynamic field control and software-based suppression of interference we can generate comparable noise floors at both sites. In human data recorded during a visuo-motor task and a face processing paradigm, we were able to generate similar data, with source localisation showing that brain regions could be pinpointed with just ∼10 mm spatial discrepancy and temporal correlations of > 80%. Overall, our study demonstrates that, with appropriate field control, OPM-MEG systems can be sited even in city centre hospital locations. The methods presented pave the way for wider deployment of OPM-MEG.
Hill, R. M., Devasagayam, J., Holmes, N., Boto, E., Shah, V., Osborne, J., …Brookes, M. J. (2022). Using OPM-MEG in contrasting magnetic environments. NeuroImage, 253, Article 119084. https://doi.org/10.1016/j.neuroimage.2022.119084
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 8, 2022 |
Online Publication Date | Mar 17, 2022 |
Publication Date | 2022-06 |
Deposit Date | Mar 18, 2022 |
Publicly Available Date | Mar 18, 2022 |
Journal | NeuroImage |
Print ISSN | 1053-8119 |
Electronic ISSN | 1095-9572 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 253 |
Article Number | 119084 |
DOI | https://doi.org/10.1016/j.neuroimage.2022.119084 |
Keywords | Cognitive Neuroscience; Neurology |
Public URL | https://nottingham-repository.worktribe.com/output/7610963 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S1053811922002130 |
Using OPM-MEG in contrasting magnetic environments
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