Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children

Boto, Elena; Shah, Vishal; Hill, Ryan M.; Rhodes, Natalie; Osborne, James; Doyle, Cody; Holmes, Niall; Rea, Molly; Leggett, James; Bowtell, Richard; Brookes, Matthew J.

Abstract

Optically-pumped magnetometers (OPMs) are an established alternative to superconducting sensors for magnetoencephalography (MEG), offering significant advantages including flexibility to accommodate any head size, uniform coverage, free movement during scanning, better data quality and lower cost. However, OPM sensor technology remains under development; there is flexibility regarding OPM design and it is not yet clear which variant will prove most effective for MEG. Most OPM-MEG implementations have either used single-axis (equivalent to conventional MEG) or dual-axis magnetic field measurements. Here we demonstrate use of a triaxial OPM formulation, able to characterise the full 3D neuromagnetic field vector. We show that this novel sensor is able to characterise magnetic fields with high accuracy and sensitivity that matches conventional (dual-axis) OPMs. We show practicality via measurement of biomagnetic fields from both the heart and the brain. Using simulations, we demonstrate how triaxial measurement offers improved cortical coverage, especially in infants. Finally, we introduce a new 3D-printed child-friendly OPM-helmet and demonstrate feasibility of triaxial measurement in a five-year-old. In sum, the data presented demonstrate that triaxial OPMs offer a significant improvement over dual-axis variants and are likely to become the sensor of choice for future MEG systems, particularly for deployment in paediatric populations.

Citation

Boto, E., Shah, V., Hill, R. M., Rhodes, N., Osborne, J., Doyle, C., …Brookes, M. J. (2022). Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children. NeuroImage, 252, Article 119027. https://doi.org/10.1016/j.neuroimage.2022.119027

• Journal Article Type: Article
• Acceptance Date: Feb 21, 2022
• Online Publication Date: Feb 22, 2022
• Publication Date: May 15, 2022
• Deposit Date: Mar 10, 2022
• Publicly Available Date: Mar 10, 2022
• Journal: NeuroImage
• Print ISSN: 1053-8119
• Electronic ISSN: 1095-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 252
• Article Number: 119027
• DOI: https://doi.org/10.1016/j.neuroimage.2022.119027
• Keywords: Cognitive Neuroscience; Neurology
• Public URL: https://nottingham-repository.worktribe.com/output/7511335
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1053811922001562?via%3Dihub