A tool for functional brain imaging with lifespan compliance
Open accessAbstract
The human brain undergoes significant functional and structural changes in the first decades of life, as the foundations for human cognition are laid down. However, non-invasive imaging techniques to investigate brain function throughout neurodevelopment are limited due to growth in head-size with age and substantial head movement in young participants. Experimental designs to probe brain function are also limited by the unnatural environment typical brain imaging systems impose. However, developments in quantum technology allowed fabrication of a new generation of wearable magnetoencephalography (MEG) technology with the potential to revolutionise electrophysiological measures of brain activity. Here we demonstrate a lifespan-compliant MEG system, showing recordings of high fidelity data in toddlers, young children, teenagers and adults. We show how this system can support new types of experimental paradigm involving naturalistic learning. This work reveals a new approach to functional imaging, providing a robust platform for investigation of neurodevelopment in health and disease.
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OPM-MEG enables scanning across the lifespan.
“and enable scanning across the lifespan [31,32].”
From Naturalistic Hyperscanning with Wearable Magnetoencephalography (2023) · cites this paper as [31]
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Cites
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328 · see citing works
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 · see citing works
Van Veen, B. D., Van Drongelen, W., Yuchtman, M., & Suzuki, A. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.623056 · Cited by 2,561 · see citing works
Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem.
Sarvas, J. (1987) · Physics in Medicine and Biology · doi:10.1088/0031-9155/32/1/004 · Cited by 1,945 · see citing works
A subfemtotesla multichannel atomic magnetometer
Kominis, I. K., Kornack, T. W., Allred, J. C., & Romalis, M. V. (2003) · Nature · doi:10.1038/nature01484 · Cited by 1,631 · see citing works
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 · see citing works
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 · see citing works
Magnetoencephalography for Brain Electrophysiology and Imaging
Baillet, S. (2017) · Nature Neuroscience · doi:10.1038/nn.4504 · Cited by 992 · see citing works
Ultrahigh sensitivity magnetic field and magnetization measurements with an atomic magnetometer
Dang, H. B., Maloof, A. C., & Romalis, M. V. (2010) · Applied Physics Letters · doi:10.1063/1.3491215 · Cited by 891 · see citing works
Cohen, D. (1972) · Science · doi:10.1126/science.175.4022.664 · Cited by 785 · see citing works
High-Frequency Brain Activity and Muscle Artifacts in MEG/EEG: A Review and Recommendations
Muthukumaraswamy, S. D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00138 · Cited by 697 · see citing works
Multidimensional divide-and-conquer
Bentley, J. L. (1980) · Communications of the ACM · doi:10.1145/358841.358850 · Cited by 672 · see citing works
(1999) · Medical Entomology and Zoology · Cited by 587 · see citing works
Post-movement beta rebound is generated in motor cortex: Evidence from neuromagnetic recordings
Jurkiewicz, M. T., Gaetz, W. C., Bostan, A. C., & Cheyne, D. O. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.005 · Cited by 485 · see citing works
Boto, E., Meyer, S. S., Shah, V., Alem, O., Knappe, S., Kruger, P., Fromhold, T. M., Lim, M., Glover, P. M., Morris, P. G., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.034 · Cited by 471 · see citing works
Self-citationMagnetoencephalography with an atomic magnetometer
Xia, H., Baranga, A. B.-A., Hoffman, D., & Romalis, M. V. (2006) · Applied Physics Letters · doi:10.1063/1.2392722 · Cited by 443 · see citing works
Optically pumped magnetometers: from quantum origins to multi-channel magnetoencephalography
Tierney, T. M., Holmes, N., Mellor, S., López, J. D., Roberts, G., Hill, R. M., Boto, E., Leggett, J., Shah, V., Brookes, M. J., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.063 · Cited by 400 · see citing works
Self-citationMP RAGE: a three-dimensional, T1-weighted, gradient-echo sequence--initial experience in the brain.
Brant-Zawadzki, M. N., Gillan, G. D., & Nitz, W. R. (1992) · Radiology · doi:10.1148/radiology.182.3.1535892 · Cited by 345 · see citing works
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 · see citing works
Self-citationMagnetoencephalography with a chip-scale atomic magnetometer
Sander, T. H., Preusser, J., Mhaskar, R. R., Kitching, J. E., Trahms, L., & Knappe, S. A. (2012) · Biomedical Optics Express · doi:10.1364/boe.3.000981 · Cited by 293 · see citing works
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 · see citing works
Self-citationMagnetoencephalography with a two-color pump-probe, fiber-coupled atomic magnetometer
Johnson, C., Schwindt, P. D. D., & Weisend, M. P. (2010) · Applied Physics Letters · doi:10.1063/1.3522648 · Cited by 210 · see citing works
On the Potential of a New Generation of Magnetometers for MEG: A Beamformer Simulation Study
Boto, E., Bowtell, R., Krüger, P., Fromhold, T. M., Morris, P. G., Meyer, S. S., Barnes, G. R., & Brookes, M. J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0157655 · Cited by 194 · see citing works
Self-citationHeinrichs‐Graham, E., & Wilson, T. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.032 · Cited by 183 · see citing works
Knuckey, L. M. (2006) · Australasian Physical & Engineering Sciences in Medicine · Cited by 154 · see citing works
Wearable neuroimaging: Combining and contrasting magnetoencephalography and electroencephalography
Boto, E., Seedat, Z. A., Holmes, N., Leggett, J., Hill, R. M., Roberts, G., Shah, V., Fromhold, T. M., Mullinger, K. J., Tierney, T. M., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116099 · Cited by 136 · see citing works
Self-citationMulti-sensor magnetoencephalography with atomic magnetometers
Johnson, C., Schwindt, P. D. D., & Weisend, M. P. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/17/6065 · Cited by 131 · see citing works
Evidence for a motor gamma-band network governing response interference
Gaetz, W. C., Liu, C., Zhu, H., Bloy, L., & Roberts, T. P. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.013 · Cited by 76 · see citing works
Kamada, K., Sato, D., Ito, Y., Natsukawa, H., Okano, K., Mizutani, N., & Kobayashi, T. (2015) · Japanese Journal of Applied Physics · doi:10.7567/jjap.54.026601 · Cited by 74 · see citing works
Tierney, T. M., Holmes, N., Meyer, S. S., Boto, E., Roberts, G., Leggett, J., Buck, S., Duque‐Muñoz, L., Vladimir Litvak, A., Bestmann, S., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.035 · Cited by 66 · see citing works
Self-citationLiao, Y., Acar, Z. A., Makeig, S., & Deák, G. O. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.055 · Cited by 58 · see citing works
Magnetoencephalography of Epilepsy with a Microfabricated Atomic Magnetrode
Alem, O., Benison, A. M., Barth, D. S., Kitching, J. E., & Knappe, S. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3495-14.2014 · Cited by 52 · see citing works
Holliday, I. E., Barnes, G. R., Hillebrand, A., & Singh, K. D. (2003) · Human Brain Mapping · doi:10.1002/hbm.10133 · Cited by 41 · see citing works
Self-citationClaus, S. P., Velis, D. N., Lopes, F. H. D. S., Viergever, M. A., & Kalitzin, S. (2012) · Epilepsy Research · doi:10.1016/j.eplepsyres.2012.02.002 · Cited by 35 · see citing works
American Chemical Journal, April
Gilpin, J. E. (1897) · Science · doi:10.1126/science.5.121.664 · Cited by 6 · see citing works
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Sorted by citations
Quantum sensors for biomedical applications
Aslam, N., Zhou, H., Urbach, E., Turner, M. J., Walsworth, R. L., Lukin, M. D., & Park, H. (2023) · Nature Reviews Physics · doi:10.1038/s42254-023-00558-3 · Cited by 553 · see citing works
Brookes, M. J., Leggett, J., Rea, M., Hill, R. M., Holmes, N., Boto, E., & Bowtell, R. W. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.05.008 · Cited by 425 · see citing works
Self-citationDelivering transformative action in paediatric pain: a Lancet Child & Adolescent Health Commission
Eccleston, C., Fisher, E., Howard, R. F., Slater, R., Forgeron, P. A., Palermo, T. M., Birnie, K. A., Anderson, B. J., Chambers, C. T., Crombez, G., et al. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30277-7 · Cited by 338 · see citing works
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 · see citing works
Self-citationPortable Magnetometry for Detection of Biomagnetism in Ambient Environments
Limes, M. E., Foley, E. L., Kornack, T. W., Caliga, S., McBride, S., Braun, A., Lee, W., Lucivero, V. G., & Romalis, M. V. (2020) · Physical Review Applied · doi:10.1103/physrevapplied.14.011002 · Cited by 257 · see citing works
Boto, E., Shah, V., Hill, R. M., Rhodes, N., Osborne, J., Doyle, C., Holmes, N., Rea, M., Leggett, J., Bowtell, R. W., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119027 · Cited by 187 · see citing works
Self-citationVirtual Reality for Neurorehabilitation and Cognitive Enhancement
Георгиев, Д., Georgieva, I., Gong, Z., Nanjappan, V., & Georgiev, G. V. (2021) · Brain Sciences · doi:10.3390/brainsci11020221 · Cited by 213 · see citing works
Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system
Brookes, M. J., Boto, E., Rea, M., Shah, V., Osborne, J., Holmes, N., Hill, R. M., Leggett, J., Rhodes, N., & Bowtell, R. W. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118025 · Cited by 151 · see citing works
Self-citationMeasuring functional connectivity with wearable MEG
Boto, E., Hill, R. M., Rea, M., Holmes, N., Seedat, Z. A., Leggett, J., Shah, V., Osborne, J., Bowtell, R. W., & Brookes, M. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117815 · Cited by 125 · see citing works
Self-citationYeh, C., Kao, F., Wei, P., Pal, A., Kaswan, K., Huang, Y., Parashar, P., Yeh, H., Wang, T.-W., Tiwari, N., et al. (2022) · Nano Energy · doi:10.1016/j.nanoen.2022.107852 · Cited by 121 · see citing works
Precision 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 121 · see citing works
Self-citationInterference suppression techniques for OPM-based MEG: Opportunities and challenges
Seymour, R. A., Alexander, N., Mellor, S., O’Neill, G. C., Tierney, T. M., Barnes, G. R., & Maguire, E. A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118834 · Cited by 123 · see citing works
Self-citationA 90-Channel Triaxial Magnetoencephalography System Using Optically Pumped Magnetometers
Rea, M., Boto, E., Holmes, N., Hill, R., Osborne, J., Rhodes, N., Leggett, J., Rier, L., Bowtell, R., Shah, V., et al. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14890 · Cited by 102 · see citing works
Self-citationSensitive magnetometry in challenging environments
Fu, K. C., Iwata, G. Z., Wickenbrock, A., & Budker, D. (2020) · AVS Quantum Science · doi:10.1116/5.0025186 · Cited by 112 · see citing works
Using OPMs to measure neural activity in standing, mobile participants
Seymour, R. A., Alexander, N., Mellor, S., O'Neill, G. C., Tierney, T. M., Barnes, G. R., & Maguire, E. A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118604 · Cited by 102 · see citing works
Self-citationCaffrey, A., McNulty, H., Rollins, M., Prasad, G., Gaur, P., Talcott, J. B., Witton, C., Cassidy, T., Marshall, B., Dornan, J. C., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-01914-9 · Cited by 87 · see citing works
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 87 · see citing works
Self-citationUsing OPM-MEG in contrasting magnetic environments
Hill, R. M., Devasagayam, J., Holmes, N., Boto, E., Shah, V., Osborne, J., Safar, K., Worcester, F., Mariani, C., Dawson, E., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119084 · Cited by 80 · see citing works
Self-citationWang, J., Fan, W., Yin, K., Yan, Y., Zhou, B., & Song, X. (2020) · Physical Review A · doi:10.1103/physreva.101.053427 · Cited by 75 · see citing works
FLUX: A pipeline for MEG analysis
Ferrante, O., Liu, L., Minarik, T., Górska, U., Ghafari, T., Luo, H., & Jensen, O. B. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119047 · Cited by 67 · see citing works
Single-Beam Atomic Magnetometer Based on the Transverse Magnetic-Modulation or DC-Offset
Liu, G., Tang, J., Yin, Y., Wang, Y., Zhou, B., & Han, B. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.2973201 · Cited by 62 · see citing works
Ru, X., He, K., Lyu, B., Li, D., Xu, W., Gu, W., Ma, X., Liu, J., Li, C., Li, T., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119420 · Cited by 56 · see citing works
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 · see citing works
Self-citationHillebrand, A., Holmes, N., Sijsma, N., O’Neill, G. C., Tierney, T. M., Liberton, N., Stam, A. H., van Klink, N. E. C., Stam, C. J., Bowtell, R. W., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-31111-y · Cited by 57 · see citing works
Self-citationOptimal Operating Temperature of Miniaturized Optically Pumped Magnetometers
Zhang, S., Lu, J., Ye, M., Zhou, Y., Yin, K., Lu, F., Yan, Y., & Zhai, Y. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3147901 · Cited by 51 · see citing works
Gutteling, T. P., Bonnefond, M., Clausner, T., Daligault, S., Romain, R., Mitryukovskiy, S. I., Fourcault, W., Josselin, V., Prado, M. L., Palacios-Laloy, A., et al. (2023) · Sensors · doi:10.3390/s23052801 · Cited by 50 · see citing works
Real-time, model-based magnetic field correction for moving, wearable MEG
Mellor, S., Tierney, T. M., Seymour, R. A., Timms, R. C., O’Neill, G. C., Alexander, N., Spedden, M. E., Payne, H., & Barnes, G. R. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120252 · Cited by 51 · see citing works
Self-citationNaturalistic Hyperscanning with Wearable Magnetoencephalography
Holmes, N., Rea, M., Hill, R. M., Boto, E., Leggett, J., Edwards, L. J., Rhodes, N., Shah, V., Osborne, J., Fromhold, T. M., et al. (2023) · Sensors · doi:10.3390/s23125454 · Cited by 52 · see citing works
“…investigation of cognitive function (Tierney et al., 2018), cerebellar (Lin et al., 2019) and hippocampal (Barry et al., 2019; Tierney et al., 2021) activity, functional connectivity (Boto et al., 2021) and epilepsy (Vivekananda et al., 2020) using a lifespan compliant system (Hill et al., 2019).”
BackgroundMethodSelf-citationQuantum magnetic gradiometer with entangled twin light beams
Wu, S., Bao, G., Guo, J., Chen, J., Du, W., Shi, M., Yang, P., Chen, L. Q., & Zhang, W. (2023) · Science Advances · doi:10.1126/sciadv.adg1760 · Cited by 48 · see citing works
Dou, Y., Gao, Y., Wang, K., Zhang, M., Li, J., Fang, X., Sun, B., & Ma, D. (2025) · Measurement · doi:10.1016/j.measurement.2025.119636 · Cited by 46 · see citing works
Co-registration Comparison of On-Scalp Magnetoencephalography and Magnetic Resonance Imaging
Cao, F., An, N., Xu, W., Wang, W., Yang, Y., Xiang, M., Gao, Y., & Ning, X. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.706785 · Cited by 47 · see citing works
Rier, L., Rhodes, N., Pakenham, D. O., Boto, E., Holmes, N., Hill, R. M., Rivero, G. R., Shah, V., Doyle, C., Osborne, J., et al. (2024) · eLife · doi:10.7554/elife.94561 · Cited by 44 · see citing works
Self-citationSekiguchi, N., Fushimi, M., Yoshimura, A., Shinei, C., Miyakawa, M., Taniguchi, T., Teraji, T., Abe, H., Onoda, S., Ohshima, T., et al. (2024) · Physical Review Applied · doi:10.1103/physrevapplied.21.064010 · Cited by 46 · see citing works
Nested Magnetic Field Compensation With Regulated Coefficients for Bio-Magnetic Field Measurement
Wei, Y., Cheng, L., Niu, Y., Chen, S., & Ye, C. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3244249 · Cited by 40 · see citing works
Schofield, H., Hill, R. M., Feys, O., Holmes, N., Osborne, J., Doyle, C., Bobela, D., Corvilain, P., Wens, V., Rier, L., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00283 · Cited by 47 · see citing works
Self-citationPractical real-time MEG-based neural interfacing with optically pumped magnetometers
Wittevrongel, B., Holmes, N., Boto, E., Hill, R. M., Rea, M., Libert, A., Khachatryan, E., Hulle, M. M. V., Bowtell, R. W., & Brookes, M. J. (2021) · BMC Biology · doi:10.1186/s12915-021-01073-6 · Cited by 43 · see citing works
Self-citationSchofield, H., Boto, E., Shah, V., Hill, R. M., Osborne, J., Rea, M., Doyle, C., Holmes, N., Bowtell, R. W., Woolger, D., et al. (2022) · Contemporary Physics · doi:10.1080/00107514.2023.2182950 · Cited by 41 · see citing works
Self-citationMeasuring the cortical tracking of speech with optically-pumped magnetometers
de Lange, P., Boto, E., Holmes, N., Hill, R. M., Bowtell, R. W., Wens, V., Tiège, X. D., Brookes, M. J., & Bourguignon, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117969 · Cited by 34 · see citing works
Self-citationConcurrent spinal and brain imaging with optically pumped magnetometers
Mardell, L. C., Spedden, M. E., O’Neill, G. C., Tierney, T. M., Timms, R. C., Zich, C., Barnes, G. R., & Bestmann, S. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110131 · Cited by 34 · see citing works
Self-citationOptimal buffer gas pressure in dual-beam spin-exchange relaxation-free magnetometers
Lu, J., Zhang, S., Zhou, Y., Yan, Y., Lu, F., Wang, K., Zhai, Y., & Ye, M. (2022) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2022.113928 · Cited by 33 · see citing works
Test-retest reliability of the human connectome: An OPM-MEG study
Rier, L., Michelmann, S., Ritz, H., Shah, V., Hill, R. M., Osborne, J., Doyle, C., Holmes, N., Bowtell, R. W., Brookes, M. J., et al. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00020 · Cited by 31 · see citing works
Self-citationA probabilistic atlas of finger dominance in the primary somatosensory cortex
O’Neill, G. C., Sengupta, A., Asghar, M., Barratt, E. L., Besle, J., Schluppeck, D., Francis, S., & Sánchez-Panchuelo, R.-M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116880 · Cited by 30 · see citing works
Mauranyapin, N. P., Terrasson, A., & Bowen, W. P. (2022) · Advanced Quantum Technologies · doi:10.1002/qute.202100139 · Cited by 37 · see citing works
Zahran, S., Mahmoudzadeh, M., Wallois, F., Betrouni, N., Derambure, P., Prado, M. L., Palacios-Laloy, A., & Labyt, É. (2022) · Sensors · doi:10.3390/s22083093 · Cited by 30 · see citing works
Coquelet, N., Wens, V., Mary, A., Niesen, M., Puttaert, D., Ranzini, M., Ghinst, M. V., Bourguignon, M., Peigneux, P., Goldman, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-75858-0 · Cited by 29 · see citing works
Self-citationDetection and analysis of MEG signals in occipital region with double-channel OPM sensors
Zhang, X., Chen, C.-Q., Zhang, M., Ma, C., Zhang, Y., Wang, H., Guo, Q., Hu, T., Liu, Z., Chang, Y., et al. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108948 · Cited by 28 · see citing works
Contactless measurements of retinal activity using optically pumped magnetometers
Westner, B. U., Lubell, J. I., Jensen, M., Hokland, S., & Dalal, S. S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118528 · Cited by 28 · see citing works
Design and Analysis of a High-Sensitivity Atomic Magnetic Gradiometer With Adjustable Baseline
Zhang, Y., Tang, J., Xu, X., Wang, Z., & Zhai, Y. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3544375 · Cited by 27 · see citing works
The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives
Bröhl, T., Rings, T., Pukropski, J., von Wrede, R. D., & Lehnertz, K. (2024) · Frontiers in Network Physiology · doi:10.3389/fnetp.2023.1338864 · Cited by 28 · see citing works
Holmes, N., Bowtell, R. W., Brookes, M. J., & Taulu, S. (2023) · Sensors · doi:10.3390/s23146537 · Cited by 29 · see citing works
Self-citationHan, X., Pang, J., Xu, D., Wang, R., Xie, F., Yang, Y., Sun, J., Li, Y., Li, R., Yin, X., et al. (2023) · Physiological Measurement · doi:10.1088/1361-6579/ad0f70 · Cited by 25 · see citing works
Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life
Corvilain, P., Wens, V., Bourguignon, M., Capparini, C., Fourdin, L., Ferez, M., Feys, O., Tiège, X. D., & Bertels, J. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00489 · Cited by 27 · see citing works
Single-trial classification of evoked responses to auditory tones using OPM- and SQUID-MEG
Iivanainen, J., Carter, T. R., Trumbo, M., McKay, J., Taulu, S., Wang, J., Stephen, J. M., Schwindt, P. D. D., & Borna, A. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acfcd9 · Cited by 24 · see citing works
Safar, K., Vandewouw, M. M., Sato, J., Devasagayam, J., Hill, R. M., Rea, M., Brookes, M. J., & Taylor, M. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-56878-6 · Cited by 26 · see citing works
Self-citationKowalczyk, A., Bezsudnova, Y., Jensen, O. B., & Barontini, G. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117497 · Cited by 23 · see citing works
OMMR: Co-registration toolbox of OPM-MEG and MRI
Cao, F., An, N., Xu, W., Wang, W., Li, W., Wang, C., Yang, Y., Xiang, M., Gao, Y., & Ning, X. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.984036 · Cited by 23 · see citing works
Automatic coregistration of MRI and on-scalp MEG
Gu, W., Ru, X., Li, D., He, K., Cui, Y., Sheng, J., & Gao, J. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109181 · Cited by 23 · see citing works
Xu, X., Liu, Y., Han, C., & Sun, X. H. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3547109 · Cited by 22 · see citing works
Hardware-Based Interference Suppression Techniques for OPM-MEG: A Review
Jia, L., Li, J., Song, X., Ning, X., Yang, J., Qi, S., Long, T., Wu, Z., & Wang, R. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3509679 · Cited by 22 · see citing works
Combining video telemetry and wearable MEG for naturalistic imaging
O’Neill, G. C., Seymour, R. A., Mellor, S., Alexander, N., Tierney, T. M., Bernachot, L., Hnazaee, M. F., Spedden, M. E., Timms, R. C., Bush, D., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00495 · Cited by 24 · see citing works
Self-citationGrasso‐Cladera, A., Costa‐Cordella, S., Rossi, A., Fuchs, N. F., & Parada, F. J. (2022) · Adaptive Behavior · doi:10.1177/10597123211072613 · Cited by 20 · see citing works
On-scalp magnetoencephalography for the diagnostic evaluation of epilepsy during infancy
Feys, O., Corvilain, P., Bertels, J., Sculier, C., Holmes, N., Brookes, M. J., Wens, V., & Tiège, X. D. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.08.010 · Cited by 21 · see citing works
Self-citationAutomatic co-registration of OPM-MEG and MRI using a 3D laser scanner
Gao, Z., Cao, F., An, N., & Ning, X. (2023) · Measurement · doi:10.1016/j.measurement.2023.113729 · Cited by 21 · see citing works
Jia, L., Li, J., Song, X., Qi, S., Long, T., Wu, Z., Wang, R., & Ning, X. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3522373 · Cited by 20 · see citing works
A fully integrated whole-head helium OPM MEG: a performance assessment compared to cryogenic MEG
Bonnet, M., Schwartz, D., Gutteling, T. P., Daligault, S., & Labyt, É. (2025) · Frontiers in Medical Technology · doi:10.3389/fmedt.2025.1548260 · Cited by 20 · see citing works
Progress and applications of quantum precision measurement based on SERF effect
Zhai, Y., Yue, Z., Li, L., & Liu, Y. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.969129 · Cited by 20 · see citing works
Design of locally arranged sensor arrays in wearable OPM-MEG based on sensor volume constraints
Wang, W., Cao, F., An, N., Wen, L., Xu, W., Wang, C., Gao, Z., Yu, D., Gao, Y., & Ning, X. (2024) · Measurement · doi:10.1016/j.measurement.2024.114373 · Cited by 20 · see citing works
Adaptive cold-atom magnetometry mitigating the trade-off between sensitivity and dynamic range
Ma, Z., Han, C., Tan, Z., He, H.-N., Shi, S., Kang, X., Wu, J., Huang, J., Lü, B., & Lee, C. (2025) · Science Advances · doi:10.1126/sciadv.adt3938 · Cited by 20 · see citing works
Coregistered transcranial optoacoustic and magnetic resonance angiography of the human brain
Ni, R., Deán‐Ben, X. L., Treyer, V., Gietl, A. F., Höck, C., Klohs, J., Nitsch, R. M., & Razansky, D. (2022) · Optics Letters · doi:10.1364/ol.475578 · Cited by 19 · see citing works
Determining sensor geometry and gain in a wearable MEG system
Hill, R. M., Rivero, G. R., Tyler, A. J., Schofield, H., Doyle, C., Osborne, J., Bobela, D., Rier, L., Gibson, J. M., Tanner, Z., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00535 · Cited by 22 · see citing works
Self-citationMethods for Improving Movement Compatibility of Wearable OPM-MEG: A Review
Wang, C., Cao, F., Wang, W., Xu, W., Li, W., Gao, Z., & An, N. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3329043 · Cited by 16 · see citing works
Hironaga, N., Takei, Y., Mitsudo, T., Kimura, T., & Hirano, Y. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00863 · Cited by 17 · see citing works
Mapping Interictal activity in epilepsy using a hidden Markov model: A magnetoencephalography study
Seedat, Z. A., Rier, L., Gascoyne, L. E., Cook, H. E., Woolrich, M. W., Quinn, A. J., Roberts, T. P. L., Furlong, P. L., Armstrong, C., Pier, K. S., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.26118 · Cited by 14 · see citing works
Self-citationLaser Heating Method for an Alkali Metal Atomic Cell with Heat Transfer Enhancement
Li, Y., Zhou, G., Tian, S., Liu, X., Dong, X., & Gao, X. (2023) · Photonics · doi:10.3390/photonics10060637 · Cited by 14 · see citing works
NEMO: A Database for Emotion Analysis Using Functional Near-Infrared Spectroscopy
Spapé, M., Mäkelä, K., & Ruotsalo, T. (2024) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3315971 · Cited by 12 · see citing works
Xu, X., Zhao, Z., Liu, W., Ye, F., Zhu, T., & Li, X. (2024) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2024.115431 · Cited by 15 · see citing works
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 · see citing works
Zhou, Z., Zhang, H., Huang, R., He, F., Xu, D. Y., Yan, X., & Li, L. (2025) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-025-01492-4 · Cited by 14 · see citing works
Ding, Z., Li, L., Huang, Z., & Han, B. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3267356 · Cited by 14 · see citing works
Paediatric magnetoencephalography and its role in neurodevelopmental disorders
Rhodes, N., Sato, J., Safar, K., Amorim, K., Taylor, M. J., & Brookes, M. J. (2024) · British Journal of Radiology · doi:10.1093/bjr/tqae123 · Cited by 14 · see citing works
Self-citationWearable Magnetoencephalography in a Lightly Shielded Environment
Holmes, N., Leggett, J., Hill, R. M., Rier, L., Boto, E., Schofield, H., Hayward, T., Dawson, E., Woolger, D., Shah, V., et al. (2024) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2024.3465654 · Cited by 14 · see citing works
Self-citationXu, W., Liao, P., Cao, M., White, D., Lyu, B., & Gao, J. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121182 · Cited by 17 · see citing works
Single-Beam Miniaturized Atomic Magnetometer With Square-Wave Modulation for Magnetoencephalography
Ding, Z., Han, B., & Tang, J. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3043947 · Cited by 14 · see citing works
Disruptive innovation in psychiatry
Sarris, J. J. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14764 · Cited by 13 · see citing works
Temperature characteristics of Rb-N2 single-beam magnetometer with different buffer gas pressures
Zhang, S., Zhou, Y., Lu, F., Yan, Y., Wang, W., Zhou, B., Zhai, Y., Lu, J., & Ye, M. (2023) · Measurement · doi:10.1016/j.measurement.2023.112860 · Cited by 13 · see citing works
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 · see citing works
Self-citationGuo, Q., Hu, T., Feng, X., Zhang, M., Chen, C.-Q., Zhang, X., Yao, Z.-K., Xu, J.-Y., Wang, Q., Fu, F.-Y., et al. (2022) · Chinese Physics B · doi:10.1088/1674-1056/ac7e38 · Cited by 12 · see citing works
Sensitive spatially resolved magnetometry using a Bose-condensed gas with a bright probe
Sekiguchi, N., Shibata, K., Torii, A., Toda, H., Kuramoto, R., Fukuda, D., & Hirano, T. (2021) · Physical Review A · doi:10.1103/physreva.104.l041306 · Cited by 12 · see citing works
Flexible brain electronic sensors advance wearable brain-computer interface
Li, J., Chen, G., Li, G., Xiao, L., Jia, R., & Zhang, K. (2025) · npj Biomedical Innovations. · doi:10.1038/s44385-025-00029-7 · Cited by 11 · see citing works
Vandewouw, M. M., Sato, J., Safar, K., Rhodes, N., & Taylor, M. J. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101433 · Cited by 12 · see citing works
Examining predictive coding accounts of typical and autistic neurocognitive development
Rapaport, H., & Sowman, P. F. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105905 · Cited by 15 · see citing works
Wang, X., Teng, P., Meng, Q., Jiang, Y., Wu, J., Li, T., Wang, M., Guan, Y., Zhou, J., Sheng, J., et al. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad9680 · Cited by 14 · see citing works
Xu, X., Zhao, Z., Liu, W., & Wu, W. (2024) · Measurement · doi:10.1016/j.measurement.2024.116295 · Cited by 11 · see citing works
Rhodes, N., Rier, L., Singh, K. D., Sato, J., Vandewouw, M. M., Holmes, N., Boto, E., Hill, R. M., Rea, M., Taylor, M. J., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00527 · Cited by 12 · see citing works
Self-citationDawson, R., O’Dwyer, C., Irwin, E., Mrozowski, M. S., Hunter, D., Ingleby, S. J., Riis, E., & Griffin, P. F. (2023) · Sensors · doi:10.3390/s23084007 · Cited by 11 · see citing works
Automatic Sensor Array Calibration and Coregistration for On-Scalp MEG
Pang, M., Huang, Z., Ding, Z., & Han, B. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3277096 · Cited by 10 · see citing works
Tripathy, K., Fogarty, M., Svoboda, A. M., Schroeder, M. L., Rafferty, S. M., Richter, E. J., Tracy, C., Mansfield, P. K., Booth, M., Fishell, A. K., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.26684 · Cited by 10 · see citing works
Shi, Y., Guo, X., Liu, X., Tang, J., Zhai, Y., & Feng, R. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3449978 · Cited by 10 · see citing works
Faletič, S., Bitzenbauer, P., Bondani, M., Chiofalo, M. L., Goorney, S., Krijtenburg-Lewerissa, K., Mishina, O. S., Müller, R., Pospiech, G., Ercan, İ., et al. (2024) · Challenges in physics education · doi:10.1007/978-3-031-72541-8_15 · Cited by 10 · see citing works
Rhodes, N., Rier, L., Boto, E., Hill, R. M., & Brookes, M. J. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.8 · Cited by 11 · see citing works
Self-citation
- Authors
- Hill, R. M., Boto, E., Holmes, N., Hartley, C., Seedat, Z. A., Leggett, J., Roberts, G., Shah, V., Tierney, T. M., Woolrich, M. W., Stagg, C. J., Barnes, G. R., Bowtell, R., Slater, R., & Brookes, M. J.
- Affiliations
- University of Nottingham (GB)
- John Radcliffe Hospital (GB)
- QuSpin (United States) (US)
- Wellcome Centre for Human Neuroimaging (GB)
- Warneford Hospital (GB)
- Corresponding author
- Brookes, Matthew J.
- ORCID
- Venue
- Nature Communications
- Published
- 2019-11-05
- Volume
- 10
- Issue
- 1
- Pages
- 4785-4785
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6831615
- OpenAlex
- W2969234156
- Cited by
- 180
- References
- 35
- Citations by year
- 2026: 12 · 2025: 35 · 2024: 31 · 2023: 31 · 2022: 31 · 2021: 25 · 2020: 15
- FWCI
- 7.80
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-12-04)
- Open access
- gold
- doi.org
- Locations
- Nature Communications (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)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (203257/Z/16/Z, 203257/B/16/Z)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Atomic and Subatomic Physics Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- quantum technologies, functional neuroimaging, toddlers, children, adolescents, head movement, head growth, naturalistic learning, non-invasive brain imaging
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Child, Child, Preschool, Cognition, Electrophysiology, Female, Humans, Infant, Male, Magnetoencephalography, Young Adult
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