Ryan M. Hill
Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system
Hill, Ryan M.; Boto, Elena; Rea, Molly; Holmes, Niall; Leggett, James; Coles, Laurence A.; Papastavrou, Manolis; Everton, Sarah; Hunt, Benjamin A.E.; Sims, Dominic; Osborne, James; Shah, Vishal; Bowtell, Richard; Brookes, Matthew J.
Authors
Miss ELENA BOTO ELENA.BOTO@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Molly Rea
Dr Niall Holmes NIALL.HOLMES@NOTTINGHAM.AC.UK
MANSFIELD RESEARCH FELLOW
Dr JAMES LEGGETT JAMES.LEGGETT@NOTTINGHAM.AC.UK
RESEARCH FELLOW
Laurence A. Coles
Manolis Papastavrou
Sarah Everton
Benjamin A.E. Hunt
Dominic Sims
James Osborne
Vishal Shah
Professor RICHARD BOWTELL RICHARD.BOWTELL@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Professor MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Abstract
© 2020 The Authors Magnetoencephalography (MEG) is a powerful technique for functional neuroimaging, offering a non-invasive window on brain electrophysiology. MEG systems have traditionally been based on cryogenic sensors which detect the small extracranial magnetic fields generated by synchronised current in neuronal assemblies, however, such systems have fundamental limitations. In recent years, non-cryogenic quantum-enabled sensors, called optically-pumped magnetometers (OPMs), in combination with novel techniques for accurate background magnetic field control, have promised to lift those restrictions offering an adaptable, motion-robust MEG system, with improved data quality, at reduced cost. However, OPM-MEG remains a nascent technology, and whilst viable systems exist, most employ small numbers of sensors sited above targeted brain regions. Here, building on previous work, we construct a wearable OPM-MEG system with ‘whole-head’ coverage based upon commercially available OPMs, and test its capabilities to measure alpha, beta and gamma oscillations. We design two methods for OPM mounting; a flexible (EEG-like) cap and rigid (additively-manufactured) helmet. Whilst both designs allow for high quality data to be collected, we argue that the rigid helmet offers a more robust option with significant advantages for reconstruction of field data into 3D images of changes in neuronal current. Using repeat measurements in two participants, we show signal detection for our device to be highly robust. Moreover, via application of source-space modelling, we show that, despite having 5 times fewer sensors, our system exhibits comparable performance to an established cryogenic MEG device. While significant challenges still remain, these developments provide further evidence that OPM-MEG is likely to facilitate a step change for functional neuroimaging.
Citation
Hill, R. M., Boto, E., Rea, M., Holmes, N., Leggett, J., Coles, L. A., Papastavrou, M., Everton, S., Hunt, B. A., Sims, D., Osborne, J., Shah, V., Bowtell, R., & Brookes, M. J. (2020). Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system. NeuroImage, 219, Article 116995. https://doi.org/10.1016/j.neuroimage.2020.116995
Journal Article Type | Article |
---|---|
Acceptance Date | May 23, 2020 |
Online Publication Date | May 29, 2020 |
Publication Date | Oct 1, 2020 |
Deposit Date | Jun 1, 2020 |
Publicly Available Date | Jun 9, 2020 |
Journal | NeuroImage |
Print ISSN | 1053-8119 |
Electronic ISSN | 1095-9572 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 219 |
Article Number | 116995 |
DOI | https://doi.org/10.1016/j.neuroimage.2020.116995 |
Keywords | Optically pumped magnetometer; OPM; Magnetoencephalography; MEG; beta; gamma |
Public URL | https://nottingham-repository.worktribe.com/output/4550923 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S105381192030481X |
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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