The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
A lightweight magnetically shielded room with active shielding
Open accessAbstract
Magnetically shielded rooms (MSRs) use multiple layers of materials such as MuMetal to screen external magnetic fields that would otherwise interfere with high precision magnetic field measurements such as magnetoencephalography (MEG). Optically pumped magnetometers (OPMs) have enabled the development of wearable MEG systems which have the potential to provide a motion tolerant functional brain imaging system with high spatiotemporal resolution. Despite significant promise, OPMs impose stringent magnetic shielding requirements, operating around a zero magnetic field resonance within a dynamic range of ± 5 nT. MSRs developed for OPM-MEG must therefore effectively shield external sources and provide a low remnant magnetic field inside the enclosure. Existing MSRs optimised for OPM-MEG are expensive, heavy, and difficult to site. Electromagnetic coils are used to further cancel the remnant field inside the MSR enabling participant movements during OPM-MEG, but present coil systems are challenging to engineer and occupy space in the MSR limiting participant movements and negatively impacting patient experience. Here we present a lightweight MSR design (30% reduction in weight and 40–60% reduction in external dimensions compared to a standard OPM-optimised MSR) which takes significant steps towards addressing these barriers. We also designed a ‘window coil’ active shielding system, featuring a series of simple rectangular coils placed directly onto the walls of the MSR. By mapping the remnant magnetic field inside the MSR, and the magnetic field produced by the coils, we can identify optimal coil currents and cancel the remnant magnetic field over the central cubic metre to just |B|= 670 ± 160 pT. These advances reduce the cost, installation time and siting restrictions of MSRs which will be essential for the widespread deployment of OPM-MEG.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures





Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“These constraints mean that OPM-MEG experiments involving participant motion require an OPM-optimised MSR with a very low remnant magnetic field along with ‘active’ magnetic shielding”
From Naturalistic Hyperscanning with Wearable Magnetoencephalography (2023) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hämäläinen, M., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.413 · Cited by 4,684
Moving magnetoencephalography towards real-world applications with a wearable system
Boto, E., Holmes, N., Leggett, J., Roberts, G., Shah, V., Meyer, S. S., Muñoz, L. D., Mullinger, K. J., Tierney, T. M., Bestmann, S., et al. (2018) · Nature · doi:10.1038/nature26147 · Cited by 1,377
Self-citationHigh-Sensitivity Atomic Magnetometer Unaffected by Spin-Exchange Relaxation
Allred, J. C., Lyman, R. N., Kornack, T. W., & Romalis, M. V. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.130801 · Cited by 1,049
Magnetoencephalography for Brain Electrophysiology and Imaging
Baillet, S. (2017) · Nature Neuroscience · doi:10.1038/nn.4504 · Cited by 992
Magnetoencephalography: Evidence of Magnetic Fields Produced by Alpha-Rhythm Currents
Cohen, D. (1968) · Science · doi:10.1126/science.161.3843.784 · Cited by 750
A compact, high performance atomic magnetometer for biomedical applications
Shah, V. K., & Wakai, R. T. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/22/8153 · Cited by 322
Self-citationMulti-Channel Whole-Head OPM-MEG: Helmet Design and a Comparison with a Conventional System
Hill, R. M., Boto, E., Rea, M., Holmes, N., Leggett, J., Coles, L. A., Papastavrou, M., Everton, S. K., Hunt, B. A. E., Sims, D., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116995 · Cited by 285
Self-citationOn-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers
Iivanainen, J., Zetter, R., Grön, M., Hakkarainen, K., & Parkkonen, L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.022 · Cited by 269
Holmes, N., Leggett, J., Boto, E., Roberts, G., Hill, R. M., Tierney, T. M., Shah, V., Barnes, G. R., Brookes, M. J., & Bowtell, R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.028 · Cited by 250
Self-citationDetection of very weak magnetic fields (10−9gauss) by 87Rb zero-field level crossing resonances
Dupont-Roc, J., Haroche, S., & Cohen-Tannoudji, C. N. (1969) · Physics Letters A · doi:10.1016/0375-9601(69)90480-0 · Cited by 180
Magnetoencephalography in Cognitive Neuroscience: A Primer
Groß, J. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.001 · Cited by 177
Fully integrated, standalone zero field optically pumped magnetometer for biomagnetism
Shah, V., Osborne, J., Orton, J., & Alem, O. (2018) · doi:10.1117/12.2299197 · Cited by 173
Self-citationHolmes, N., Tierney, T. M., Leggett, J., Boto, E., Mellor, S., Roberts, G., Hill, R. M., Shah, V., Barnes, G. R., Brookes, M. J., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-50697-w · Cited by 163
Self-citationNon-Invasive Functional-Brain-Imaging with an OPM-based Magnetoencephalography System
Borna, A., Carter, T. R., Colombo, A. P., Jau, Y.-Y., McKay, J., Weisend, M., Taulu, S., Stephen, J. M., & Schwindt, P. D. D. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227684 · Cited by 158
Towards OPM-MEG in a Virtual Reality Environment
Roberts, G., Holmes, N., Alexander, N., Boto, E., Leggett, J., Hill, R. M., Shah, V., Rea, M., Vaughan, R., Maguire, E. A., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.010 · Cited by 128
Self-citationPrecision magnetic field modelling and control for wearable magnetoencephalography
Rea, M., Holmes, N., Hill, R. M., Boto, E., Leggett, J., Edwards, L. J., Woolger, D., Dawson, E., Shah, V., Osborne, J., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118401 · Cited by 123
Self-citationPrinciples of quasistatic magnetic shielding with cylindrical and spherical shields
Hoburg, J. F. (1995) · IEEE Transactions on Electromagnetic Compatibility · doi:10.1109/15.477342 · Cited by 109
A magnetically shielded room with ultra low residual field and gradient
Altarev, I., Babcock, E., howard, B. D., Burghoff, M., Chesnevskaya, S., Chupp, T. E., Degenkolb, S., Fan, I., Fierlinger, P., Frei, A., et al. (2014) · Review of Scientific Instruments · doi:10.1063/1.4886146 · Cited by 103
Self-citationSachdeva, N., Fan, I., Babcock, E., Burghoff, M., Chupp, T. E., Degenkolb, S., Fierlinger, P., Haude, S., Kraegeloh, E., Kilian, W., et al. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.143003 · Cited by 93
Self-citationJuchem, C., Umesh Rudrapatna, S., Nixon, T. W., & de Graaf, R. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.011 · Cited by 74
Optimal Inverse Design of Magnetic Field Profiles in a Magnetically Shielded Cylinder
Packer, M., Hobson, P. J., Holmes, N., Leggett, J., Glover, P. M., Brookes, M. J., Bowtell, R. W., & Fromhold, T. M. (2020) · Physical Review Applied · doi:10.1103/physrevapplied.14.054004 · Cited by 67
Self-citationMinimizing magnetic fields for precision experiments
Altarev, I., Fierlinger, P., Lins, T., Marino, M. G., Nießen, B., Petzoldt, G., Reisner, M., Stuiber, S., Sturm, M., Taggart Singh, J., et al. (2015) · Journal of Applied Physics · doi:10.1063/1.4922671 · Cited by 66
Self-citationOptimization of a Coil System for Generating Uniform Magnetic Fields inside a Cubic Magnetic Shield
Cao, Q., Pan, D., Li, J., Jin, Y., Sun, Z., Lin, S., Yang, G., & Li, L. (2018) · Energies · doi:10.3390/en11030608 · Cited by 57
Magnetic Field Mapping and Correction for Moving OP-MEG
Mellor, S., Tierney, T. M., O’Neill, G. C., Alexander, N., Seymour, R. A., Holmes, N., López, J. D., Hill, R. M., Boto, E., Rea, M., et al. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3100770 · Cited by 56
Self-citationVoigt, J., Knappe-Grüneberg, S., Schnabel, A., Körber, R., & Burghoff, M. (2013) · Metrology and Measurement Systems · doi:10.2478/mms-2013-0021 · Cited by 50
Magnetic field modeling with surface currents. Part II. Implementation and usage of bfieldtools
Zetter, R., Mäkinen, A. J., Iivanainen, J., Zevenhoven, K. C. J., Ilmoniemi, R. J., & Parkkonen, L. T. (2020) · Journal of Applied Physics · doi:10.1063/5.0016087 · Cited by 48
Multi-coil magnetic field modeling
Juchem, C., Green, D., & de Graaf, R. A. (2013) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2013.08.015 · Cited by 38
Evaluating motor cortical oscillations and age-related change in autism spectrum disorder
Gaetz, W. C., Rhodes, E., Bloy, L., Blaskey, L. G., Jackel, C. R., Brodkin, E. S., Waldman, A. T., Embick, D., Hall, S., & Roberts, T. P. L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116349 · Cited by 33
Magnetic field compensation coil design for magnetoencephalography
Kutschka, H., Doeller, C. F., Haueisen, J., & Maeß, B. (2021) · Scientific Reports · doi:10.1038/s41598-021-01894-z · Cited by 15
Magnetic Field Mapping and Correction for Moving OP-MEGPreprint
Mellor, S., Tierney, T. M., O’Neill, G. C., Alexander, N., Seymour, R. A., Holmes, N., López, J. D., Hill, R. M., Boto, E., Rea, M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.25.444975 · Cited by 13
Self-citationTikhonov Regularization and Constrained Quadratic Programming for Magnetic Coil Design Problems
Garda, B., & Galias, Z. (2014) · International Journal of Applied Mathematics and Computer Science · doi:10.2478/amcs-2014-0018 · Cited by 7
Research works printed but not linked: 1
- Juhas, A., Pekari, N. & Toepfer, H. Magnetic field of rectangular current loop with sides parallel and perpendicular to the surface of high-permeability material. SJEE 11, 701–717 (2014).
Cited by
Sorted by citations
Measurement of Frontal Midline Theta Oscillations using OPM-MEG
Rhodes, N., Rea, M., Boto, E., Rier, L., Shah, V., Hill, R. M., Osborne, J., Doyle, C., Holmes, N., Coleman, S. C., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120024 · Cited by 91
Self-citationHolmes, N., Rea, M., Hill, R. M., Leggett, J., Edwards, L. J., Hobson, P. J., Boto, E., Tierney, T. M., Rier, L., Rivero, G. R., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120157 · Cited by 89
Self-citationOptically Pumped Magnetometers Recent Advances and Applications in Biomagnetism: A Review
Zhao, B., Li, L., Zhang, Y., Tang, J., Liu, Y., & Zhai, Y. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3297109 · Cited by 74
Magnetic shielding mechanism and structure design of composites at low frequency: A review
Xu, X., Liu, W., Huang, Y., Li, W., & Che, S. (2023) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2023.170509 · Cited by 72
Applications of OPM-MEG for translational neuroscience: a perspective
Brickwedde, M., Anders, P., Kühn, A. A., Lofredi, R., Holtkamp, M., Kaindl, A. M., Grent-‘t-Jong, T., Krüger, P., Sander, T. H., & Uhlhaas, P. J. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03047-y · Cited by 59
Metadata
- Authors
- Holmes, N., Rea, M., Chalmers, J., Leggett, J., Edwards, L. J., Nell, P., Pink, S., Patel, P., Wood, J., Murby, N., Woolger, D., Dawson, E., Mariani, C., Tierney, T. M., Mellor, S., O’Neill, G. C., Boto, E., Hill, R. M., Shah, V., Osborne, J., Pardington, R., Fierlinger, P., Barnes, G. R., Glover, P., Brookes, M. J., & Bowtell, R.
- Affiliations
- University of Nottingham (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- QuSpin (United States) (US)
- Technical University of Munich (DE)
- Corresponding author
- Holmes, Niall
- ORCID
- Venue
- Scientific Reports
- Published
- 2022-08-09
- Volume
- 12
- Issue
- 1
- Pages
- 13561-13561
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC9363499
- OpenAlex
- W4291020559
- Cited by
- 121
- References
- 31
- Citations by year
- 2026: 24 · 2025: 39 · 2024: 34 · 2023: 22 · 2022: 2
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (publishedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/T001046/1)
- Innovate UK (104604)
- Wellcome Trust (203257/Z/16/Z)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Atomic and Subatomic Physics Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electromagnetic Compatibility and Measurements
- Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
- Keywords
- magnetically shielded room, active magnetic shielding, optically pumped magnetometers, mu-metal, electromagnetic coils
- MeSH terms
- Brain, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Magnetoencephalography, Functional Neuroimaging, Magnetic Fields
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review