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Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children
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. H...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135302/ https://www.ncbi.nlm.nih.gov/pubmed/35217205 http://dx.doi.org/10.1016/j.neuroimage.2022.119027 |
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author | Boto, Elena Shah, Vishal Hill, Ryan M. Rhodes, Natalie Osborne, James Doyle, Cody Holmes, Niall Rea, Molly Leggett, James Bowtell, Richard Brookes, Matthew J. |
author_facet | Boto, Elena Shah, Vishal Hill, Ryan M. Rhodes, Natalie Osborne, James Doyle, Cody Holmes, Niall Rea, Molly Leggett, James Bowtell, Richard Brookes, Matthew J. |
author_sort | Boto, Elena |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9135302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-91353022022-05-26 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. Neuroimage Article 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. 2022-05-15 2022-02-22 /pmc/articles/PMC9135302/ /pubmed/35217205 http://dx.doi.org/10.1016/j.neuroimage.2022.119027 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) |
spellingShingle | Article Boto, Elena Shah, Vishal Hill, Ryan M. Rhodes, Natalie Osborne, James Doyle, Cody Holmes, Niall Rea, Molly Leggett, James Bowtell, Richard Brookes, Matthew J. Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
title | Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
title_full | Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
title_fullStr | Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
title_full_unstemmed | Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
title_short | Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
title_sort | triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135302/ https://www.ncbi.nlm.nih.gov/pubmed/35217205 http://dx.doi.org/10.1016/j.neuroimage.2022.119027 |
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