Measuring functional connectivity with wearable MEG
Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent techn...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 230; p. 117815 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
15.04.2021
Elsevier Limited Elsevier |
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| Online Access | Get full text |
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| Abstract | Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values >70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement. |
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| AbstractList | Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values >70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement. Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values >70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement.Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values >70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement. Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values > 70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement. |
| ArticleNumber | 117815 |
| Author | Osborne, James Hill, Ryan M. Brookes, Matthew J. Rea, Molly Bowtell, Richard Shah, Vishal Seedat, Zelekha A. Boto, Elena Leggett, James Holmes, Niall |
| AuthorAffiliation | b QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA a Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom |
| AuthorAffiliation_xml | – name: a Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – name: b QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA |
| Author_xml | – sequence: 1 givenname: Elena orcidid: 0000-0002-0347-280X surname: Boto fullname: Boto, Elena email: elena.boto@nottingham.ac.uk organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 2 givenname: Ryan M. orcidid: 0000-0002-1732-2095 surname: Hill fullname: Hill, Ryan M. organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 3 givenname: Molly orcidid: 0000-0002-3487-713X surname: Rea fullname: Rea, Molly organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 4 givenname: Niall orcidid: 0000-0002-0561-8366 surname: Holmes fullname: Holmes, Niall organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 5 givenname: Zelekha A. surname: Seedat fullname: Seedat, Zelekha A. organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 6 givenname: James surname: Leggett fullname: Leggett, James organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 7 givenname: Vishal surname: Shah fullname: Shah, Vishal organization: QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA – sequence: 8 givenname: James surname: Osborne fullname: Osborne, James organization: QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA – sequence: 9 givenname: Richard orcidid: 0000-0001-8656-412X surname: Bowtell fullname: Bowtell, Richard organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom – sequence: 10 givenname: Matthew J. surname: Brookes fullname: Brookes, Matthew J. organization: Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33524584$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1073/pnas.1112685108 10.1016/j.neuroimage.2012.03.048 10.1016/j.neuroimage.2013.05.079 10.1109/72.761722 10.1038/nn.3101 10.1073/pnas.1608587113 10.1371/journal.pone.0227684 10.1016/j.neuroimage.2018.07.028 10.1006/nimg.2001.0978 10.1016/j.neuroimage.2018.07.035 10.1140/epjqt/s40507-020-00086-4 10.1016/j.jneumeth.2019.108378 10.1126/science.175.4022.664 10.1016/j.neuroimage.2012.04.046 10.1016/j.tics.2011.08.003 10.1038/s41598-019-41763-4 10.1016/j.neuroimage.2019.116099 10.1016/j.neuron.2013.09.038 10.1016/j.neuroimage.2020.116537 10.7567/JJAP.54.026601 10.1016/j.neuroimage.2015.04.030 10.1002/mrm.1910340409 10.1063/1.4922671 10.1063/1.2392722 10.1016/j.neuroimage.2016.01.053 10.1002/hbm.20745 10.1016/j.neuroimage.2017.01.034 10.1016/j.neuroimage.2020.116995 10.1016/j.neuroimage.2013.10.040 10.1088/0031-9155/58/17/6065 10.1103/PhysRevLett.73.951 10.1016/j.neuroimage.2019.05.063 10.1088/0031-9155/51/7/008 10.1016/j.neuroimage.2019.06.052 10.1073/pnas.0905267106 10.1111/j.2517-6161.1995.tb02031.x 10.1371/journal.pone.0157655 10.1038/nrn2201 10.1016/j.neuroimage.2016.12.048 10.1364/BOE.3.000981 10.1523/JNEUROSCI.4366-09.2009 10.1006/meth.2001.1238 10.1016/j.neuroimage.2019.116192 10.1016/j.neuroimage.2020.116556 10.1038/nature26147 10.1016/j.neuroimage.2016.01.055 10.7554/eLife.01867 10.1073/pnas.1515657113 10.1016/j.neuroimage.2020.116907 10.1073/pnas.98.2.694 10.1016/j.neuroimage.2005.08.043 10.1016/j.neuroimage.2019.06.010 10.1016/j.neuroimage.2007.09.050 10.1098/rstb.2005.1634 10.1016/j.neuroimage.2011.02.054 |
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| Copyright | 2021 Copyright © 2021. Published by Elsevier Inc. Copyright Elsevier Limited Apr 15, 2021 |
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| Keywords | Functional connectivity Optically-pumped magnetometer Amplitude-envelope correlation Magnetoencephalography Network OPM-MEG OPM MEG Wearable MEG AEC |
| Language | English |
| License | This is an open access article under the CC BY license. Copyright © 2021. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Technical Report-3 content type line 23 Credit authorship contribution statement Elena Boto: Conceptualization, Methodology, Formal analysis, Data curation, Writing - original draft. Ryan M. Hill: Conceptualization, Methodology, Formal analysis, Data curation, Software, Writing - review & editing. Molly Rea: Methodology, Data curation, Writing - review & editing. Niall Holmes: Conceptualization, Methodology, Software, Data curation, Writing - review & editing. Zelekha A. Seedat: Methodology, Software, Writing - review & editing. James Leggett: Methodology, Software, Writing - review & editing. Vishal Shah: Resources, Writing - review & editing. James Osborne: Resources, Software, Writing - review & editing. Richard Bowtell: Conceptualization, Methodology, Software, Formal analysis, Writing - review & editing. Matthew J. Brookes: Conceptualization, Methodology, Software, Formal analysis, Writing - original draft, Project administration, Funding acquisition. |
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| References | Homölle, Oostenveld (bib0028) 2019; 326 Baker, Brookes, Rezek, Smith, Behrens, Smith, Woolrich (bib0002) 2014; 2014 Hill, Boto, Rea, Holmes, Leggett, Coles, Papastavrou, Everton, Hunt, Sims, Osborne, Shah, Bowtell, Brookes (bib0024) 2020 Brookes, Woolrich, Barnes (bib0016) 2012; 63 Hunt, Tewarie, Mougin, Geades, Jones, Singh, Morris, Gowland, Brookes (bib0030) 2016; 113 Hill, Boto, Holmes, Hartley, Seedat, Leggett, Roberts, Shah, Tierney, Woolrich, Stagg, Barnes, Bowtell, Slater, Brookes (bib0023) 2019; 10 Seedat, Quinn, Vidaurre, Liuzzi, Gascoyne, Hunt, O'Neill, Pakenham, Mullinger, Morris, Woolrich, Brookes (bib0048) 2020; 209 Coquelet, De Tiège, Destoky, Roshchupkina, Bourguignon, Goldman, Peigneux, Wens (bib0019) 2020; 210 Boto, Holmes, Leggett, Roberts, Shah, Meyer, Muñoz, Mullinger, Tierney, Bestmann, Barnes, Bowtell, Brookes (bib0009) 2018; 555 Altarev, Fierlinger, Lins, Marino, Nießen, Petzoldt, Reisner, Stuiber, Sturm, Taggart Singh, Taubenheim, Rohrer, Schläpfer (bib0001) 2015; 117 Boto, Meyer, Shah, Alem, Knappe, Kruger, Fromhold, Lim, Glover, Morris, Bowtell, Barnes, Brookes (bib0011) 2017; 149 Bright, Whittaker, Driver, Murphy (bib0013) 2020; 217 Zetter, Iivanainen, Parkkonen (bib0059) 2019; 9 Fox, Raichle (bib0021) 2007 Engel, Gerloff, Hilgetag, Nolte (bib0020) 2013; 80 Sander, Preusser, Mhaskar, Kitching, Trahms, Knappe (bib0046) 2012; 3 Benjamini, Hochberg (bib0005) 1995 Brookes, Hale, Zumer, Stevenson, Francis, Barnes, Owen, Morris, Nagarajan (bib0014) 2011; 56 Osborne, Orton, Alem, Shah (bib0042) 2018; XI Tierney, Holmes, Meyer, Boto, Roberts, Leggett, Buck, Duque-Muñoz, Litvak, Bestmann, Baldeweg, Bowtell, Brookes, Barnes (bib0055) 2018; 181 Boto, Seedat, Holmes, Leggett, Hill, Roberts, Shah, Fromhold, Mullinger, Tierney, Barnes, Bowtell, Brookes (bib0012) 2019; 201 Brookes, Woolrich, Luckhoo, Price, Hale, Stephenson, Barnes, Smith, Morris (bib0017) 2011; 108 Taulu, Simola (bib0052) 2006; 51 Beckmann, DeLuca, Devlin, Smith (bib0004) 2005; 360 Hipp, Hawellek, Corbetta, Siegel, Engel (bib0026) 2012; 15 Johnson, Schwindt, Weisend (bib0035) 2013; 58 Kamada, Sato, Ito, Natsukawa, Okano, Mizutani, Kobayashi (bib0036) 2015; 54 Menon (bib0039) 2011 Prichard, Theiler (bib0043) 1994 Borna, Carter, Colombo, Jau, McKay, Weisend, Taulu, Stephen, Schwindt (bib0007) 2020; 15 Tierney, Holmes, Mellor, López, Roberts, Hill, Boto, Leggett, Shah, Brookes, Bowtell, Barnes (bib0054) 2019 Iivanainen, Stenroos, Parkkonen (bib0033) 2017; 147 Cohen (bib0018) 1972; 175 O'Neill, Bauer, Woolrich, Morris, Barnes, Brookes (bib0041) 2015; 115 Gross, Kujala, Hämäläinen, Timmermann, Schnitzler, Salmelin (bib0022) 2001; 98 Kim, Begus, Xia, Lee, Jazbinsek, Trontelj, Romalis (bib0037) 2014; 89 Tzourio-Mazoyer, Landeau, Papathanassiou, Crivello, Etard, Delcroix, Mazoyer, Joliot (bib0056) 2002; 15 Roberts, Holmes, Alexander, Boto, Leggett, Hill, Shah, Rea, Vaughan, Maguire, Kessler, Beebe, Fromhold, Barnes, Bowtell, Brookes (bib0045) 2019; 199 Biswal, Zerrin Yetkin, Haughton, Hyde (bib0006) 1995; 34 Brookes, Vrba, Robinson, Stevenson, Peters, Barnes, Hillebrand, Morris (bib0015) 2008; 39 Schoffelen, Gross (bib0047) 2009; 30 Tewarie, Bright, Hillebrand, Robson, Gascoyne, Morris, Meier, Van Mieghem, Brookes (bib0053) 2016 Holmes, Leggett, Boto, Roberts, Hill, Tierney, Shah, Barnes, Brookes, Bowtell (bib0027) 2018; 181 Hutchison, Womelsdorf, Allen, Bandettini, Calhoun, Corbetta, Della Penna, Duyn, Glover, Gonzalez-Castillo, Handwerker, Keilholz, Kiviniemi, Leopold, de Pasquale, Sporns, Walter, Chang (bib0031) 2013; 80 Boto, Bowtell, Krüger, Fromhold, Morris, Meyer, Barnes, Brookes (bib0008) 2016; 11 Sjøgård, De Tiège, Mary, Peigneux, Goldman, Nagels, van Schependom, Quinn, Woolrich, Wens (bib0050) 2019 Vrba, Robinson (bib0057) 2001; 25 Barry, Tierney, Holmes, Boto, Roberts, Leggett, Bowtell, Brookes, Barnes, Maguire (bib0003) 2019; 203 Hoogenboom, Schoffelen, Oostenveld, Parkes, Fries (bib0029) 2006 Raichle (bib0044) 2009 Boto, Holmes, Tierney, Leggett, Hill, Mellor, Roberts, Barnes, Bowtell, Brookes, Boto, Holmes, Tierney, Leggett, Hill, Mellor, Roberts, Barnes, Bowtell, Brookes (bib0010) 2020 Smith, Fox, Miller, Glahn, Fox, Mackay, Filippini, Watkins, Toro, Laird, Beckmann (bib0051) 2009; 106 Hyvärinen (bib0032) 1999; 10 Iivanainen, Zetter, Parkkonen (bib0034) 2019 Siems, Pape, Hipp, Siegel (bib0049) 2016 Xia, Ben-Amar Baranga, Hoffman, Romalis (bib0058) 2006; 89 Luckhoo, Hale, Stokes, Nobre, Morris, Brookes, Woolrich (bib0038) 2012; 62 Nardelli, Perry, Krzyzewski, Knappe (bib0040) 2020 Hillebrand, Tewarie, Van Dellen, Yu, Carbo, Douw, Gouw, Van Straaten, Stam (bib0025) 2016 Hoogenboom (10.1016/j.neuroimage.2021.117815_bib0029) 2006 Seedat (10.1016/j.neuroimage.2021.117815_bib0048) 2020; 209 O'Neill (10.1016/j.neuroimage.2021.117815_bib0041) 2015; 115 Vrba (10.1016/j.neuroimage.2021.117815_bib0057) 2001; 25 Smith (10.1016/j.neuroimage.2021.117815_bib0051) 2009; 106 Benjamini (10.1016/j.neuroimage.2021.117815_bib0005) 1995 Hill (10.1016/j.neuroimage.2021.117815_bib0024) 2020 Boto (10.1016/j.neuroimage.2021.117815_bib0009) 2018; 555 Osborne (10.1016/j.neuroimage.2021.117815_bib0042) 2018; XI Sjøgård (10.1016/j.neuroimage.2021.117815_bib0050) 2019 Tewarie (10.1016/j.neuroimage.2021.117815_bib0053) 2016 Hill (10.1016/j.neuroimage.2021.117815_bib0023) 2019; 10 Boto (10.1016/j.neuroimage.2021.117815_bib0011) 2017; 149 Tzourio-Mazoyer (10.1016/j.neuroimage.2021.117815_bib0056) 2002; 15 Brookes (10.1016/j.neuroimage.2021.117815_bib0016) 2012; 63 Raichle (10.1016/j.neuroimage.2021.117815_bib0044) 2009 Borna (10.1016/j.neuroimage.2021.117815_bib0007) 2020; 15 Barry (10.1016/j.neuroimage.2021.117815_bib0003) 2019; 203 Siems (10.1016/j.neuroimage.2021.117815_bib0049) 2016 Schoffelen (10.1016/j.neuroimage.2021.117815_bib0047) 2009; 30 Biswal (10.1016/j.neuroimage.2021.117815_bib0006) 1995; 34 Brookes (10.1016/j.neuroimage.2021.117815_bib0017) 2011; 108 Taulu (10.1016/j.neuroimage.2021.117815_bib0052) 2006; 51 Zetter (10.1016/j.neuroimage.2021.117815_bib0059) 2019; 9 Fox (10.1016/j.neuroimage.2021.117815_bib0021) 2007 Hyvärinen (10.1016/j.neuroimage.2021.117815_bib0032) 1999; 10 Engel (10.1016/j.neuroimage.2021.117815_bib0020) 2013; 80 Luckhoo (10.1016/j.neuroimage.2021.117815_bib0038) 2012; 62 Sander (10.1016/j.neuroimage.2021.117815_bib0046) 2012; 3 Iivanainen (10.1016/j.neuroimage.2021.117815_bib0034) 2019 Gross (10.1016/j.neuroimage.2021.117815_bib0022) 2001; 98 Coquelet (10.1016/j.neuroimage.2021.117815_bib0019) 2020; 210 Bright (10.1016/j.neuroimage.2021.117815_bib0013) 2020; 217 Xia (10.1016/j.neuroimage.2021.117815_bib0058) 2006; 89 Hillebrand (10.1016/j.neuroimage.2021.117815_bib0025) 2016 Iivanainen (10.1016/j.neuroimage.2021.117815_bib0033) 2017; 147 Kamada (10.1016/j.neuroimage.2021.117815_bib0036) 2015; 54 Johnson (10.1016/j.neuroimage.2021.117815_bib0035) 2013; 58 Menon (10.1016/j.neuroimage.2021.117815_bib0039) 2011 Hutchison (10.1016/j.neuroimage.2021.117815_bib0031) 2013; 80 Homölle (10.1016/j.neuroimage.2021.117815_bib0028) 2019; 326 Baker (10.1016/j.neuroimage.2021.117815_bib0002) 2014; 2014 Boto (10.1016/j.neuroimage.2021.117815_bib0010) 2020 Kim (10.1016/j.neuroimage.2021.117815_bib0037) 2014; 89 Prichard (10.1016/j.neuroimage.2021.117815_bib0043) 1994 Beckmann (10.1016/j.neuroimage.2021.117815_bib0004) 2005; 360 Brookes (10.1016/j.neuroimage.2021.117815_bib0014) 2011; 56 Brookes (10.1016/j.neuroimage.2021.117815_bib0015) 2008; 39 Boto (10.1016/j.neuroimage.2021.117815_bib0008) 2016; 11 Boto (10.1016/j.neuroimage.2021.117815_bib0012) 2019; 201 Hipp (10.1016/j.neuroimage.2021.117815_bib0026) 2012; 15 Roberts (10.1016/j.neuroimage.2021.117815_bib0045) 2019; 199 Tierney (10.1016/j.neuroimage.2021.117815_bib0055) 2018; 181 Altarev (10.1016/j.neuroimage.2021.117815_bib0001) 2015; 117 Holmes (10.1016/j.neuroimage.2021.117815_bib0027) 2018; 181 Cohen (10.1016/j.neuroimage.2021.117815_bib0018) 1972; 175 Hunt (10.1016/j.neuroimage.2021.117815_bib0030) 2016; 113 Nardelli (10.1016/j.neuroimage.2021.117815_bib0040) 2020 Tierney (10.1016/j.neuroimage.2021.117815_bib0054) 2019 |
| References_xml | – volume: 117 year: 2015 ident: bib0001 article-title: Minimizing magnetic fields for precision experiments publication-title: J. Appl. Phys. – volume: 34 start-page: 537 year: 1995 end-page: 541 ident: bib0006 article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI publication-title: Magn. Reson. Med. – year: 2020 ident: bib0040 article-title: A conformal array of microfabricated optically-pumped first-order gradiometers for magnetoencephalography publication-title: EPJ Quantum Technol. – year: 2019 ident: bib0050 article-title: Do the posterior midline cortices belong to the electrophysiological default-mode network? publication-title: Neuroimage – year: 2009 ident: bib0044 article-title: A paradigm shift in functional brain imaging publication-title: J. Neurosci. – volume: 11 year: 2016 ident: bib0008 article-title: On the potential of a new generation of magnetometers for MEG: a beamformer simulation study publication-title: PLoS One – year: 2016 ident: bib0053 article-title: Predicting haemodynamic networks using electrophysiology: the role of non-linear and cross-frequency interactions publication-title: Neuroimage – volume: 80 start-page: 360 year: 2013 end-page: 378 ident: bib0031 article-title: Dynamic functional connectivity: promise, issues, and interpretations publication-title: Neuroimage – volume: 555 start-page: 657 year: 2018 end-page: 661 ident: bib0009 article-title: Moving magnetoencephalography towards real-world applications with a wearable system publication-title: Nature – volume: 56 start-page: 1082 year: 2011 end-page: 1104 ident: bib0014 article-title: Measuring functional connectivity using MEG: methodology and comparison with fcMRI publication-title: Neuroimage – volume: 326 year: 2019 ident: bib0028 article-title: Using a structured-light 3D scanner to improve EEG source modeling with more accurate electrode positions publication-title: J. Neurosci. Methods – volume: 181 start-page: 760 year: 2018 end-page: 774 ident: bib0027 article-title: A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography publication-title: Neuroimage – year: 1994 ident: bib0043 article-title: Generating surrogate data for time series with several simultaneously measured variables publication-title: Phys. Rev. Lett. – volume: 25 start-page: 249 year: 2001 end-page: 271 ident: bib0057 article-title: Signal processing in magnetoencephalography publication-title: Methods – volume: 80 start-page: 867 year: 2013 end-page: 886 ident: bib0020 article-title: Intrinsic coupling modes: multiscale interactions in ongoing brain activity publication-title: Neuron – volume: 115 start-page: 85 year: 2015 end-page: 95 ident: bib0041 article-title: Dynamic recruitment of resting state sub-networks publication-title: Neuroimage – volume: 89 start-page: 143 year: 2014 end-page: 151 ident: bib0037 article-title: Multi-channel atomic magnetometer for magnetoencephalography: a configuration study publication-title: Neuroimage – volume: 39 start-page: 1788 year: 2008 end-page: 1802 ident: bib0015 article-title: Optimising experimental design for MEG beamformer imaging publication-title: Neuroimage – volume: 203 year: 2019 ident: bib0003 article-title: Imaging the human hippocampus with optically-pumped magnetoencephalography publication-title: Neuroimage – year: 2006 ident: bib0029 article-title: Localizing human visual gamma-band activity in frequency, time and space publication-title: Neuroimage – year: 2020 ident: bib0024 article-title: Multi-channel whole-head OPM-MEG: helmet design and a comparison with a conventional system publication-title: Neuroimage – volume: 54 year: 2015 ident: bib0036 article-title: Human magnetoencephalogram measurements using newly developed compact module of high-sensitivity atomic magnetometer publication-title: Jpn. J. Appl. Phys. – volume: 149 start-page: 404 year: 2017 end-page: 414 ident: bib0011 article-title: A new generation of magnetoencephalography: room temperature measurements using optically-pumped magnetometers publication-title: Neuroimage – volume: 30 start-page: 1857 year: 2009 end-page: 1865 ident: bib0047 article-title: Source connectivity analysis with MEG and EEG publication-title: Hum. Brain Mapp. – volume: 9 start-page: 5490 year: 2019 ident: bib0059 article-title: Optical Co-registration of MRI and On-scalp MEG publication-title: Sci. Rep. – volume: 199 start-page: 408 year: 2019 end-page: 417 ident: bib0045 article-title: Towards OPM-MEG in a virtual reality environment publication-title: Neuroimage – volume: 10 start-page: 626 year: 1999 end-page: 634 ident: bib0032 article-title: Fast and robust fixed-point algorithms for independent component analysis publication-title: IEEE Trans. Neural Netw. – volume: 106 start-page: 13040 year: 2009 end-page: 13045 ident: bib0051 article-title: Correspondence of the brain's functional architecture during activation and rest publication-title: Proc. Natl. Acad. Sci. U. S. A. – volume: 51 start-page: 1759 year: 2006 end-page: 1768 ident: bib0052 article-title: Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements publication-title: Phys. Med. Biol. – volume: 58 start-page: 6065 year: 2013 end-page: 6077 ident: bib0035 article-title: Multi-sensor magnetoencephalography with atomic magnetometers publication-title: Phys. Med. Biol. – volume: 175 start-page: 664 year: 1972 end-page: 666 ident: bib0018 article-title: Magnetoencephalography: detection of the brain's electrical activity with a superconducting magnetometer publication-title: Science (80-.) – year: 2019 ident: bib0034 article-title: Potential of On-Scalp MEG: Robust detection of Human Visual Gamma-Band Responses – volume: 15 year: 2020 ident: bib0007 article-title: Non-invasive functional-brain-imaging with an OPM-based magnetoencephalography system publication-title: PLoS One – year: 2007 ident: bib0021 article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging publication-title: Nat. Rev. Neurosci. – year: 2016 ident: bib0025 article-title: Direction of information flow in large-scale resting-state networks is frequency-dependent publication-title: Proc. Natl. Acad. Sci. U. S. A. – volume: 147 start-page: 542 year: 2017 end-page: 553 ident: bib0033 article-title: Measuring MEG closer to the brain: performance of on-scalp sensor arrays publication-title: Neuroimage – volume: 209 year: 2020 ident: bib0048 article-title: The role of transient spectral ‘bursts’ in functional connectivity: a magnetoencephalography study publication-title: Neuroimage – year: 2011 ident: bib0039 article-title: Large-scale brain networks and psychopathology: a unifying triple network model publication-title: Trends Cognit. Sci. – volume: XI start-page: 10548 year: 2018 ident: bib0042 article-title: Fully integrated, standalone zero field optically pumped magnetometer for biomagnetism publication-title: Steep Dispers. Eng. Opto-At. Precis. Metrol. – volume: 98 start-page: 694 year: 2001 end-page: 699 ident: bib0022 article-title: Dynamic imaging of coherent sources: studying neural interactions in the human brain publication-title: Proc. Natl. Acad. Sci. – volume: 181 start-page: 513 year: 2018 end-page: 520 ident: bib0055 article-title: Cognitive neuroscience using wearable magnetometer arrays: non-invasive assessment of language function publication-title: Neuroimage – volume: 360 start-page: 1001 year: 2005 end-page: 1013 ident: bib0004 article-title: Investigations into resting-state connectivity using independent component analysis publication-title: Philos. Trans. R. Soc. B Biol. Sci. – volume: 3 start-page: 981 year: 2012 ident: bib0046 article-title: Magnetoencephalography with a chip-scale atomic magnetometer publication-title: Biomed. Opt. Express – volume: 217 year: 2020 ident: bib0013 article-title: Vascular physiology drives functional brain networks publication-title: Neuroimage – volume: 113 start-page: 13510 year: 2016 end-page: 13515 ident: bib0030 article-title: Relationships between cortical myeloarchitecture and electrophysiological networks publication-title: Proc. Natl. Acad. Sci. – volume: 201 year: 2019 ident: bib0012 article-title: Wearable neuroimaging: combining and contrasting magnetoencephalography and electroencephalography publication-title: Neuroimage – volume: 63 start-page: 910 year: 2012 end-page: 920 ident: bib0016 article-title: Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage publication-title: Neuroimage – year: 2016 ident: bib0049 article-title: Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG publication-title: Neuroimage – volume: 10 year: 2019 ident: bib0023 article-title: A tool for functional brain imaging with lifespan compliance publication-title: Nat. Commun. – volume: 210 year: 2020 ident: bib0019 article-title: Comparing MEG and high-density EEG for intrinsic functional connectivity mapping publication-title: Neuroimage – start-page: 104 year: 2020 end-page: 124 ident: bib0010 article-title: Magnetoencephalography using optically pumped magnetometers publication-title: Fifty Years of Magnetoencephalography – year: 1995 ident: bib0005 article-title: Controlling the false discovery rate: a practical and powerful approach to multiple testing publication-title: J. R. Stat. Soc. Ser. B. – volume: 108 start-page: 16783 year: 2011 end-page: 16788 ident: bib0017 article-title: Investigating the electrophysiological basis of resting state networks using magnetoencephalography publication-title: Proc. Natl. Acad. Sci. – volume: 62 start-page: 530 year: 2012 end-page: 541 ident: bib0038 article-title: Inferring task-related networks using independent component analysis in magnetoencephalography publication-title: Neuroimage – year: 2019 ident: bib0054 article-title: Optically pumped magnetometers: from quantum origins to multi-channel magnetoencephalography publication-title: Neuroimage – volume: 2014 start-page: e01867 year: 2014 ident: bib0002 article-title: Fast transient networks in spontaneous human brain activity publication-title: Elife – volume: 15 start-page: 884 year: 2012 end-page: 890 ident: bib0026 article-title: Large-scale cortical correlation structure of spontaneous oscillatory activity publication-title: Nat. Neurosci. – volume: 89 year: 2006 ident: bib0058 article-title: Magnetoencephalography with an atomic magnetometer publication-title: Appl. Phys. Lett. – volume: 15 start-page: 273 year: 2002 end-page: 289 ident: bib0056 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain publication-title: Neuroimage – volume: 108 start-page: 16783 year: 2011 ident: 10.1016/j.neuroimage.2021.117815_bib0017 article-title: Investigating the electrophysiological basis of resting state networks using magnetoencephalography publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.1112685108 – year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0034 – volume: 63 start-page: 910 year: 2012 ident: 10.1016/j.neuroimage.2021.117815_bib0016 article-title: Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.03.048 – volume: 80 start-page: 360 year: 2013 ident: 10.1016/j.neuroimage.2021.117815_bib0031 article-title: Dynamic functional connectivity: promise, issues, and interpretations publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.05.079 – volume: 10 start-page: 626 year: 1999 ident: 10.1016/j.neuroimage.2021.117815_bib0032 article-title: Fast and robust fixed-point algorithms for independent component analysis publication-title: IEEE Trans. Neural Netw. doi: 10.1109/72.761722 – volume: 15 start-page: 884 year: 2012 ident: 10.1016/j.neuroimage.2021.117815_bib0026 article-title: Large-scale cortical correlation structure of spontaneous oscillatory activity publication-title: Nat. Neurosci. doi: 10.1038/nn.3101 – volume: 113 start-page: 13510 year: 2016 ident: 10.1016/j.neuroimage.2021.117815_bib0030 article-title: Relationships between cortical myeloarchitecture and electrophysiological networks publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.1608587113 – volume: 15 year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0007 article-title: Non-invasive functional-brain-imaging with an OPM-based magnetoencephalography system publication-title: PLoS One doi: 10.1371/journal.pone.0227684 – volume: 181 start-page: 760 year: 2018 ident: 10.1016/j.neuroimage.2021.117815_bib0027 article-title: A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.07.028 – start-page: 104 year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0010 article-title: Magnetoencephalography using optically pumped magnetometers – volume: 15 start-page: 273 year: 2002 ident: 10.1016/j.neuroimage.2021.117815_bib0056 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain publication-title: Neuroimage doi: 10.1006/nimg.2001.0978 – volume: 181 start-page: 513 year: 2018 ident: 10.1016/j.neuroimage.2021.117815_bib0055 article-title: Cognitive neuroscience using wearable magnetometer arrays: non-invasive assessment of language function publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.07.035 – year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0040 article-title: A conformal array of microfabricated optically-pumped first-order gradiometers for magnetoencephalography publication-title: EPJ Quantum Technol. doi: 10.1140/epjqt/s40507-020-00086-4 – volume: 326 year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0028 article-title: Using a structured-light 3D scanner to improve EEG source modeling with more accurate electrode positions publication-title: J. Neurosci. Methods doi: 10.1016/j.jneumeth.2019.108378 – volume: 175 start-page: 664 year: 1972 ident: 10.1016/j.neuroimage.2021.117815_bib0018 article-title: Magnetoencephalography: detection of the brain's electrical activity with a superconducting magnetometer publication-title: Science (80-.) doi: 10.1126/science.175.4022.664 – volume: 62 start-page: 530 year: 2012 ident: 10.1016/j.neuroimage.2021.117815_bib0038 article-title: Inferring task-related networks using independent component analysis in magnetoencephalography publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.04.046 – year: 2011 ident: 10.1016/j.neuroimage.2021.117815_bib0039 article-title: Large-scale brain networks and psychopathology: a unifying triple network model publication-title: Trends Cognit. Sci. doi: 10.1016/j.tics.2011.08.003 – volume: 9 start-page: 5490 year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0059 article-title: Optical Co-registration of MRI and On-scalp MEG publication-title: Sci. Rep. doi: 10.1038/s41598-019-41763-4 – volume: 201 year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0012 article-title: Wearable neuroimaging: combining and contrasting magnetoencephalography and electroencephalography publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.116099 – volume: 80 start-page: 867 year: 2013 ident: 10.1016/j.neuroimage.2021.117815_bib0020 article-title: Intrinsic coupling modes: multiscale interactions in ongoing brain activity publication-title: Neuron doi: 10.1016/j.neuron.2013.09.038 – volume: 209 year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0048 article-title: The role of transient spectral ‘bursts’ in functional connectivity: a magnetoencephalography study publication-title: Neuroimage doi: 10.1016/j.neuroimage.2020.116537 – volume: 54 year: 2015 ident: 10.1016/j.neuroimage.2021.117815_bib0036 article-title: Human magnetoencephalogram measurements using newly developed compact module of high-sensitivity atomic magnetometer publication-title: Jpn. J. Appl. Phys. doi: 10.7567/JJAP.54.026601 – volume: 115 start-page: 85 year: 2015 ident: 10.1016/j.neuroimage.2021.117815_bib0041 article-title: Dynamic recruitment of resting state sub-networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2015.04.030 – volume: 34 start-page: 537 year: 1995 ident: 10.1016/j.neuroimage.2021.117815_bib0006 article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI publication-title: Magn. Reson. Med. doi: 10.1002/mrm.1910340409 – volume: 117 year: 2015 ident: 10.1016/j.neuroimage.2021.117815_bib0001 article-title: Minimizing magnetic fields for precision experiments publication-title: J. Appl. Phys. doi: 10.1063/1.4922671 – volume: 89 year: 2006 ident: 10.1016/j.neuroimage.2021.117815_bib0058 article-title: Magnetoencephalography with an atomic magnetometer publication-title: Appl. Phys. Lett. doi: 10.1063/1.2392722 – year: 2016 ident: 10.1016/j.neuroimage.2021.117815_bib0053 article-title: Predicting haemodynamic networks using electrophysiology: the role of non-linear and cross-frequency interactions publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.01.053 – volume: 30 start-page: 1857 year: 2009 ident: 10.1016/j.neuroimage.2021.117815_bib0047 article-title: Source connectivity analysis with MEG and EEG publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20745 – volume: 149 start-page: 404 year: 2017 ident: 10.1016/j.neuroimage.2021.117815_bib0011 article-title: A new generation of magnetoencephalography: room temperature measurements using optically-pumped magnetometers publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.01.034 – year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0024 article-title: Multi-channel whole-head OPM-MEG: helmet design and a comparison with a conventional system publication-title: Neuroimage doi: 10.1016/j.neuroimage.2020.116995 – volume: 89 start-page: 143 year: 2014 ident: 10.1016/j.neuroimage.2021.117815_bib0037 article-title: Multi-channel atomic magnetometer for magnetoencephalography: a configuration study publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.10.040 – volume: 58 start-page: 6065 year: 2013 ident: 10.1016/j.neuroimage.2021.117815_bib0035 article-title: Multi-sensor magnetoencephalography with atomic magnetometers publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/58/17/6065 – year: 1994 ident: 10.1016/j.neuroimage.2021.117815_bib0043 article-title: Generating surrogate data for time series with several simultaneously measured variables publication-title: Phys. Rev. Lett. doi: 10.1103/PhysRevLett.73.951 – year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0054 article-title: Optically pumped magnetometers: from quantum origins to multi-channel magnetoencephalography publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.05.063 – volume: 51 start-page: 1759 year: 2006 ident: 10.1016/j.neuroimage.2021.117815_bib0052 article-title: Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/51/7/008 – year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0050 article-title: Do the posterior midline cortices belong to the electrophysiological default-mode network? publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.06.052 – volume: 106 start-page: 13040 year: 2009 ident: 10.1016/j.neuroimage.2021.117815_bib0051 article-title: Correspondence of the brain's functional architecture during activation and rest publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0905267106 – year: 1995 ident: 10.1016/j.neuroimage.2021.117815_bib0005 article-title: Controlling the false discovery rate: a practical and powerful approach to multiple testing publication-title: J. R. Stat. Soc. Ser. B. doi: 10.1111/j.2517-6161.1995.tb02031.x – volume: 11 year: 2016 ident: 10.1016/j.neuroimage.2021.117815_bib0008 article-title: On the potential of a new generation of magnetometers for MEG: a beamformer simulation study publication-title: PLoS One doi: 10.1371/journal.pone.0157655 – year: 2007 ident: 10.1016/j.neuroimage.2021.117815_bib0021 article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging publication-title: Nat. Rev. Neurosci. doi: 10.1038/nrn2201 – volume: 147 start-page: 542 year: 2017 ident: 10.1016/j.neuroimage.2021.117815_bib0033 article-title: Measuring MEG closer to the brain: performance of on-scalp sensor arrays publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.12.048 – volume: XI start-page: 10548 year: 2018 ident: 10.1016/j.neuroimage.2021.117815_bib0042 article-title: Fully integrated, standalone zero field optically pumped magnetometer for biomagnetism publication-title: Steep Dispers. Eng. Opto-At. Precis. Metrol. – volume: 3 start-page: 981 year: 2012 ident: 10.1016/j.neuroimage.2021.117815_bib0046 article-title: Magnetoencephalography with a chip-scale atomic magnetometer publication-title: Biomed. Opt. Express doi: 10.1364/BOE.3.000981 – year: 2009 ident: 10.1016/j.neuroimage.2021.117815_bib0044 article-title: A paradigm shift in functional brain imaging publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.4366-09.2009 – volume: 25 start-page: 249 year: 2001 ident: 10.1016/j.neuroimage.2021.117815_bib0057 article-title: Signal processing in magnetoencephalography publication-title: Methods doi: 10.1006/meth.2001.1238 – volume: 203 year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0003 article-title: Imaging the human hippocampus with optically-pumped magnetoencephalography publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.116192 – volume: 10 year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0023 article-title: A tool for functional brain imaging with lifespan compliance publication-title: Nat. Commun. – volume: 210 year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0019 article-title: Comparing MEG and high-density EEG for intrinsic functional connectivity mapping publication-title: Neuroimage doi: 10.1016/j.neuroimage.2020.116556 – volume: 555 start-page: 657 year: 2018 ident: 10.1016/j.neuroimage.2021.117815_bib0009 article-title: Moving magnetoencephalography towards real-world applications with a wearable system publication-title: Nature doi: 10.1038/nature26147 – year: 2016 ident: 10.1016/j.neuroimage.2021.117815_bib0049 article-title: Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.01.055 – volume: 2014 start-page: e01867 year: 2014 ident: 10.1016/j.neuroimage.2021.117815_bib0002 article-title: Fast transient networks in spontaneous human brain activity publication-title: Elife doi: 10.7554/eLife.01867 – year: 2016 ident: 10.1016/j.neuroimage.2021.117815_bib0025 article-title: Direction of information flow in large-scale resting-state networks is frequency-dependent publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.1515657113 – volume: 217 year: 2020 ident: 10.1016/j.neuroimage.2021.117815_bib0013 article-title: Vascular physiology drives functional brain networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2020.116907 – volume: 98 start-page: 694 year: 2001 ident: 10.1016/j.neuroimage.2021.117815_bib0022 article-title: Dynamic imaging of coherent sources: studying neural interactions in the human brain publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.98.2.694 – year: 2006 ident: 10.1016/j.neuroimage.2021.117815_bib0029 article-title: Localizing human visual gamma-band activity in frequency, time and space publication-title: Neuroimage doi: 10.1016/j.neuroimage.2005.08.043 – volume: 199 start-page: 408 year: 2019 ident: 10.1016/j.neuroimage.2021.117815_bib0045 article-title: Towards OPM-MEG in a virtual reality environment publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.06.010 – volume: 39 start-page: 1788 year: 2008 ident: 10.1016/j.neuroimage.2021.117815_bib0015 article-title: Optimising experimental design for MEG beamformer imaging publication-title: Neuroimage doi: 10.1016/j.neuroimage.2007.09.050 – volume: 360 start-page: 1001 year: 2005 ident: 10.1016/j.neuroimage.2021.117815_bib0004 article-title: Investigations into resting-state connectivity using independent component analysis publication-title: Philos. Trans. R. Soc. B Biol. Sci. doi: 10.1098/rstb.2005.1634 – volume: 56 start-page: 1082 year: 2011 ident: 10.1016/j.neuroimage.2021.117815_bib0014 article-title: Measuring functional connectivity using MEG: methodology and comparison with fcMRI publication-title: Neuroimage doi: 10.1016/j.neuroimage.2011.02.054 |
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| Title | Measuring functional connectivity with wearable MEG |
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