Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation
Abstract
Source current estimation from electromagnetic (MEG and EEG) signals is an ill-posed problem that often produces blurry or inaccurately positioned estimates. The two modalities have distinct factors limiting the resolution, e.g., MEG cannot detect radially oriented sources, while EEG is sensitive to accuracy of the head model. This makes combined EEG+MEG estimation techniques desirable, but different acquisition noise statistics, complexity of the head models, and lack of pertinent metrics all complicate the assessment of the resulting improvements. We investigated analytically the effect of including EEG recordings in MEG studies versus the addition of new MEG channels when computing noise-normalized minimum l(2)-norm estimates. Three-compartment boundary-element forward models were constructed using structural MRI scans for four subjects. Singular value analysis of the resulting forward models predicted better performance of the EEG+MEG case in the form of higher matrix rank. MNE inverse operators for EEG, MEG and EEG+MEG were constructed using the sensor noise covariance estimated from data. Metrics derived from the resolution matrices predicted higher spatial resolution in EEG+MEG as compared to MEG due to decreased spread (lower spatial dispersion, higher resolution index) with no reduction in dipole localization error. The effect was apparent in all source locations, with increased magnitude for deep areas such as the cingulate cortex. We were also able to corroborate the results for the somatosensory cortex using median nerve responses.
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Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · 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
Self-citationGeophysical data analysis : discrete inverse theory
Menke, W. H. (1989) · Cited by 2,843 · see citing works
Dynamic Statistical Parametric Mapping
Dale, A. M., Liu, A. K., Fischl, B. R., Buckner, R. L., Belliveau, J. W., Lewine, J. D., & Halgren, E. (2000) · Neuron · doi:10.1016/s0896-6273(00)81138-1 · Cited by 1,787 · see citing works
Fischl, B. R., Liu, A., & Dale, A. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906426 · Cited by 1,755 · see citing works
Geophysical Data Analysis: Discrete Inverse Theory
(1989) · International geophysics/International geophysics series · doi:10.1016/s0074-6142(08)x6008-5 · Cited by 1,291 · see citing works
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
Hamalainen, M. S., & Sarvas, J. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.16463 · Cited by 989 · see citing works
Self-citationHelmholtz, H. (1853) · Annalen der Physik · doi:10.1002/andp.18531650603 · Cited by 989 · see citing works
Signal-space projection method for separating MEG or EEG into components
Uusitalo, M. A., & Ilmoniemi, R. J. (1997) · Medical & Biological Engineering & Computing · doi:10.1007/bf02534144 · Cited by 916 · see citing works
Lin, F., Witzel, T., Ahlfors, S. P., Stufflebeam, S. M., Belliveau, J. W., & Hämäläinen, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.054 · Cited by 506 · see citing works
Self-citationMurakami, S., & Okada, Y. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.105379 · Cited by 395 · see citing works
Monte Carlo simulation studies of EEG and MEG localization accuracy
Liu, A. K., Dale, A. M., & Belliveau, J. W. (2002) · Human Brain Mapping · doi:10.1002/hbm.10024 · Cited by 348 · see citing works
Demonstration of useful differences between magnetoencephalogram and electroencephalogram
Cohen, D., & Cuffin, B. N. (1983) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(83)90005-6 · Cited by 300 · see citing works
Distributed current estimates using cortical orientation constraints
Lin, F., Belliveau, J. W., Dale, A. M., & Hämäläinen, M. (2005) · Human Brain Mapping · doi:10.1002/hbm.20155 · Cited by 291 · see citing works
Self-citationNeuronal Generators and the Problem of Localization in Electroencephalography
GLOOR, P. (1985) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-198510000-00002 · Cited by 245 · see citing works
The advantage of combining MEG and EEG: Comparison to fMRI in focally stimulated visual cortex
Sharon, D., Hämäläinen, M., Tootell, R. B. H., Halgren, E., & Belliveau, J. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.066 · Cited by 212 · see citing works
Self-citationBrain Function and Neurophysiological Correlates of Signals Used in Functional Neuroimaging
Lauritzen, M., & Gold, L. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03972.2003 · Cited by 187 · see citing works
Optimization of optode arrangements for diffuse optical tomography: A singular-value analysis
Culver, J. P., Ntziachristos, V., Holboke, M. J., & Yodh, A. G. (2001) · Optics Letters · doi:10.1364/ol.26.000701 · Cited by 184 · see citing works
Combined MEG and EEG source imaging by minimization of mutual information
Baillet, S., Garnero, L., Marin, G., & Hugonin, J. (1999) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.759053 · Cited by 111 · see citing works
A novel integrated MEG and EEG analysis method for dipolar sources
Huang, M., Song, T., Hagler, D. J., Podgorny, I. A., Jousmäki, V., Cui, L., Gaa, K. M., Harrington, D. L., Dale, A. M., Lee, R. R., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.002 · Cited by 106 · see citing works
Linear inverse source estimate of combined EEG and MEG data related to voluntary movements
Babiloni, F., Carducci, F., Febo Cincotti, A., Gratta, C. D., Pizzella, V., Romani, G. L., Rossini, P. M., Tecchio, F., & Babiloni, C. (2001) · Human Brain Mapping · doi:10.1002/hbm.1052 · Cited by 93 · see citing works
Experimental analysis of distortion of magnetoencephalography signals by the skull.
Okada, Y., Lähteenmäki, A., & Xu, C.-B. (1999) · Clinical Neurophysiology · doi:10.1016/s0013-4694(98)00099-6 · Cited by 92 · see citing works
Graves, E. E., Culver, J. P., Ripoll, J., Weissleder, R., & Ntziachristos, V. (2004) · Journal of the Optical Society of America A · doi:10.1364/josaa.21.000231 · Cited by 88 · see citing works
Benefit of Simultaneous Recording of EEG and MEG in Dipole Localization
Yoshinaga, H., Nakahori, T., Ohtsuka, Y., Oka, E., Kitamura, Y., Kiriyama, H., Kinugasa, K., Miyamoto, K., & Hoshida, T. (2002) · Epilepsia · doi:10.1046/j.1528-1157.2002.42901.x · Cited by 65 · see citing works
Babiloni, F., Babiloni, C., Carducci, F., Romani, G. L., Rossini, P. M., Angelone, L. M., & Febo Cincotti, A. (2004) · Human Brain Mapping · doi:10.1002/hbm.20011 · Cited by 52 · see citing works
Simultaneous MEG and EEG source analysis
Huizenga, H. M., van Zuijen, T. L., Heslenfeld, D. J., & Molenaar, P. C. M. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/7/301 · Cited by 45 · see citing works
A method for combining MEG and EEG to determine the sources
Cohen, D., & Cuffin, B. N. (1987) · Physics in Medicine and Biology · doi:10.1088/0031-9155/32/1/013 · Cited by 42 · see citing works
Figures of merit to compare distributed linear inverse solutions
Menéndez, R. G. D. P., Andino, S. L. G., & Lütkenhöner, B. (1996) · Brain Topography · doi:10.1007/bf01200711 · Cited by 41 · see citing works
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Good practice for conducting and reporting MEG research
Groß, J., Baillet, S., Barnes, G. R., Henson, R. N., Hillebrand, A., Jensen, O. B., Jerbi, K., Vladimir Litvak, A., Maeß, B., Oostenveld, R., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.001 · Cited by 717 · see citing works
Predictive top-down integration of prior knowledge during speech perception
Sohoglu, E., Peelle, J. E., Carlyon, R. P., & Davis, M. H. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5069-11.2012 · Cited by 388 · see citing works
Measuring MEG Closer to the Brain: Performance of on-Scalp Sensor Arrays
Iivanainen, J., Stenroos, M., & Parkkonen, L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.048 · Cited by 296 · see citing works
“To evaluate the differences between the arrays in linear distributed-source estimation, we used metrics derived from the resolution matrix (Hauk et al., 2011; Liu et al., 2002; Molins et al., 2008; de Peralta Menendez et al., 1997; Stenroos and Hauk, 2013).”
Electrophysiological source imaging: A noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works
Self-citationTracking brain states under general anesthesia by using global coherence analysis
Cimenser, A., Purdon, P. L., Pierce, E. T., Walsh, J. L., Salazar-Gómez, A. F., Harrell, P. G., Tavares, C. L., Habeeb, K., & Brown, E. N. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017041108 · Cited by 249 · see citing works
Self-citationAttal, Y., & Schwartz, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059856 · Cited by 200 · see citing works
Hauk, O., Wakeman, D. G., & Henson, R. N. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.053 · Cited by 191 · see citing works
A multi-subject, multi-modal human neuroimaging dataset
Wakeman, D. G., & Henson, R. N. (2015) · Scientific Data · doi:10.1038/sdata.2015.1 · Cited by 190 · see citing works
The time-course of single-word reading: Evidence from fast behavioral and brain responses
Hauk, O., Coutout, C., Holden, A., & Chen, Y. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.061 · Cited by 158 · see citing works
Analysis of Multimodal Neuroimaging Data
Bießmann, F., Plis, S., Meinecke, F. C., Eichele, T., & Müller, K. (2011) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2011.2170675 · Cited by 156 · see citing works
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
Krishnaswamy, P., Obregon-Henao, G., Ahveninen, J., Khan, S., Babadi, B., Iglesias, J. E., Hämäläinen, M., & Purdon, P. L. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705414114 · Cited by 149 · see citing works
Self-citationComparison of the spatial resolution of source imaging techniques in high-density EEG and MEG
Hedrich, T., Pellegrino, G., Kobayashi, E., Lina, J.-M., & Grova, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.022 · Cited by 151 · see citing works
Cichy, R. M., & Pantazis, D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.023 · Cited by 149 · see citing works
Miozzo, M., Friedemann Pulvermüller, A., & Hauk, O. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu137 · Cited by 144 · 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
Cancellation of EEG and MEG Signals Generated by Extended and Distributed Sources
Ahlfors, S., Han, J., Lin, F., Witzel, T., Belliveau, J., Hämäläinen, M., & Halgren, E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20851 · Cited by 142 · see citing works
Self-citationMEG and EEG data fusion: Simultaneous localisation of face-evoked responses
Henson, R. N., Mouchlianitis, E. D., & Friston, K. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.063 · Cited by 126 · see citing works
Henson, R. N., Wakeman, D. G., Vladimir Litvak, A., & Friston, K. J. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00076 · Cited by 121 · see citing works
The Body of Evidence: What Can Neuroscience Tell Us about Embodied Semantics?
Hauk, O., & Tschentscher, N. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00050 · Cited by 114 · see citing works
Source localization of the seizure onset zone from ictal EEG/MEG data
Pellegrino, G., Hedrich, T., Chowdhury, R. A., Hall, J. A., Lina, J., Dubeau, F., Kobayashi, E., & Grova, C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23191 · Cited by 111 · see citing works
Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG
Siems, M., Pape, A.-A., Hipp, J. F., & Siegel, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.055 · Cited by 105 · see citing works
Lucka, F. F., Pursiainen, S., Burger, M., & Wolters, C. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.017 · Cited by 94 · see citing works
Towards an objective evaluation of EEG/MEG source estimation methods – The linear approach
Hauk, O., Stenroos, M., & Treder, M. S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119177 · Cited by 92 · see citing works
Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes
Farahibozorg, S.-R., Henson, R. N., & Hauk, O. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.009 · Cited by 91 · see citing works
Spatial fidelity of MEG/EEG source estimates: A general evaluation approach
Samuelsson, J. G., Peled, N., Mamashli, F., Ahveninen, J., & Hämäläinen, M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117430 · Cited by 97 · see citing works
Self-citationVartiainen, J., Liljeström, M., Koskinen, M., Renvall, H., & Salmelin, R. H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3113-10.2011 · Cited by 81 · see citing works
Mollo, G., Friedemann Pulvermüller, A., & Hauk, O. (2015) · Cortex · doi:10.1016/j.cortex.2015.10.021 · Cited by 77 · see citing works
Shafiei, G., Baillet, S., & Mišić, B. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001735 · Cited by 72 · see citing works
Keuper, K., Zwanzger, P., Nordt, M., Eden, A., Laeger, I., Zwitserlood, P., Kissler, J., Junghöfer, M., & Dobel, C. (2014) · Human Brain Mapping · doi:10.1002/hbm.22220 · Cited by 64 · see citing works
Reconstructing spatially extended brain sources via enforcing multiple transform sparseness
Zhu, M., Zhang, W., Dickens, D. L., & Ding, L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.070 · Cited by 69 · see citing works
Spontaneous emotion regulation to positive and negative stimuli
Volokhov, R. N., & Demaree, H. A. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.10.015 · Cited by 99 · see citing works
Heers, M., Chowdhury, R. A., Hedrich, T., Dubeau, F., Hall, J. A., Lina, J., Grova, C., & Kobayashi, E. (2015) · Brain Topography · doi:10.1007/s10548-014-0423-1 · Cited by 66 · see citing works
Characterizing Learning by Simultaneous Analysis of Continuous and Binary Measures of Performance
Prerau, M. J., Smith, A. C., Eden, U. T., Kubota, Y., Yanike, M., SUZUKI, W. A., Graybiel, A. M., & Brown, E. N. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91251.2008 · Cited by 64 · see citing works
Self-citationStenroos, M., & Hauk, O. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.086 · Cited by 62 · see citing works
Early visual and auditory processing rely on modality-specific attentional resources
Keitel, C., Maeß, B., Schröger, E., & Müller, M. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.046 · Cited by 57 · see citing works
Chowdhury, R., Zerouali, Y., Hedrich, T., Heers, M., Kobayashi, E., Lina, J., & Grova, C. (2015) · Brain Topography · doi:10.1007/s10548-015-0437-3 · Cited by 59 · see citing works
Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing
Chang, W., Jääskeläinen, I. P., Belliveau, J. W., Huang, S., Hung, A.-Y., Rossi, S., & Ahveninen, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.066 · Cited by 54 · see citing works
Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI
Chen, Y., Davis, M. H., Friedemann Pulvermüller, A., & Hauk, O. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00376 · Cited by 56 · see citing works
Requirements for Coregistration Accuracy in On-Scalp MEG
Zetter, R., Iivanainen, J., Stenroos, M., & Parkkonen, L. T. (2018) · Brain Topography · doi:10.1007/s10548-018-0656-5 · Cited by 57 · see citing works
The cortical dynamics underlying effective switching of auditory spatial attention
Larson, E., & Lee, A. K. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.006 · Cited by 55 · see citing works
Hauk, O., & Stenroos, M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22279 · Cited by 54 · see citing works
Magnetoencephalography and the infant brain
Chen, Y., Saby, J. N., Kuschner, E. S., Gaetz, W. C., Edgar, J. C., & Roberts, T. P. L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.059 · Cited by 55 · see citing works
The Impact of EEG/MEG Signal Processing and Modeling in the Diagnostic and Management of Epilepsy
Lopes, F. H. D. S. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008246 · Cited by 53 · see citing works
Spatially sparse source cluster modeling by compressive neuromagnetic tomography
Chang, W.-T., Nummenmaa, A., Hsieh, J.-C., & Lin, F.-H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.013 · Cited by 52 · see citing works
Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics
Chen, Y., Davis, M. H., Friedemann Pulvermüller, A., & Hauk, O. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00815 · Cited by 51 · see citing works
Grova, C., Aiguabella, M., Zelmann, R., Lina, J., Hall, J. A., & Kobayashi, E. (2016) · Human Brain Mapping · doi:10.1002/hbm.23127 · Cited by 47 · see citing works
Machado, A., Cai, Z., Pellegrino, G., Marcotte, O., Vincent, T. L., Lina, J.-M., Kobayashi, E., & Grova, C. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.08.006 · Cited by 51 · see citing works
Muthuraman, M., Hellriegel, H., Hoogenboom, N., Anwar, A. R., Mideksa, K. G., Krause, H., Schnitzler, A., Deuschl, G., & Raethjen, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091441 · Cited by 49 · see citing works
Larson, E., & Lee, A. K. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.061 · Cited by 49 · see citing works
Pellegrino, G., Hedrich, T., Porras-Betancourt, M., Lina, J., Aydın, Ü., Hall, J. A., Grova, C., & Kobayashi, E. (2020) · Human Brain Mapping · doi:10.1002/hbm.24994 · Cited by 49 · see citing works
Chowdhury, R. A., Merlet, I., Birot, G., Kobayashi, E., Nica, A., Biraben, A., Wendling, F., Lina, J.-M., Albera, L., & Grova, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.044 · Cited by 48 · see citing works
Roesmann, K., Zwitserlood, P., Rehbein, M. A., Eden, A. S., Laeger, I., Junghöfer, M., Zwanzger, P., & Dobel, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070788 · Cited by 44 · see citing works
Farahibozorg, S.-R., Henson, R. N., Woollams, A. M., & Hauk, O. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab501 · Cited by 44 · see citing works
Investigations of sensitivity and resolution of ECG and MCG in a realistically shaped thorax model
Mäntynen, V., Konttila, T., & Stenroos, M. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/23/7141 · Cited by 45 · see citing works
Chowdhury, R. A., Pellegrino, G., Aydın, Ü., Lina, J., Dubeau, F., Kobayashi, E., & Grova, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23889 · Cited by 41 · see citing works
Source Cancellation Profiles of Electroencephalography and Magnetoencephalography
Irimia, A., Horn, J. V. V., & Halgren, E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.104 · Cited by 52 · see citing works
Simultaneous EEG and MEG source reconstruction in sparse electromagnetic source imaging
Ding, L., & Yuan, H. (2011) · Human Brain Mapping · doi:10.1002/hbm.21473 · Cited by 38 · see citing works
Paz-Linares, D., Vega‐Hernández, M., Rojas-López, P. A., Valdes-Hernandez, P. A., Martínez‐Montes, E., & Valdes-Sosa, P. A. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00635 · Cited by 36 · see citing works
Hanna, J., Mejias, S., Schelstraete, M., Friedemann Pulvermüller, A., Юрьевич, Ш. Ю., & van der Lely, H. K. J. (2013) · Cognitive Neuroscience · doi:10.1080/17588928.2013.860087 · Cited by 36 · see citing works
Zwoliński, P., Roszkowski, M., Żygierewicz, J., Haufe, S., Nolte, G., & Durka, P. J. (2010) · Neuroinformatics · doi:10.1007/s12021-010-9086-6 · Cited by 35 · see citing works
Hsiao, F., Cheng, C., Chen, W., & Lin, Y. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.041 · Cited by 35 · see citing works
Su, L., Zulfiqar, I., Jamshed, F., Fonteneau, E., & Marslen‐Wilson, W. D. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00368 · Cited by 33 · see citing works
Liu, Z.-Q., Shafiei, G., Baillet, S., & Mišić, B. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120276 · Cited by 30 · see citing works
Kanamori, Y., Shigeto, H., Hironaga, N., Hagiwara, K., Uehara, T., Chatani, H., Sakata, A., Hashiguchi, K., Morioka, T., Tobimatsu, S., et al. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.04.008 · Cited by 32 · see citing works
Fonteneau, E., Bozic, M., & Marslen-Wilson, W. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu283 · Cited by 31 · see citing works
Aperiodic and oscillatory systems underpinning human domain-general cognition
Lu, R., Dermody, N., Duncan, J., & Woolgar, A. (2024) · Communications Biology · doi:10.1038/s42003-024-07397-7 · Cited by 31 · see citing works
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors
Liu, F., Wang, L., Lou, Y., Ren-cang Li, C., & Purdon, P. L. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3025608 · Cited by 31 · see citing works
Proposal for a new MEG–MRI co-registration: A 3D laser scanner system
Hironaga, N., Hagiwara, K., Ogata, K., Hayamizu, M., Urakawa, T., & Tobimatsu, S. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.03.029 · Cited by 31 · see citing works
Daniela Calvetti, A., Pascarella, A., Pitolli, F., Somersalo, E., & Vantaggi, B. (2018) · Brain Topography · doi:10.1007/s10548-018-0670-7 · Cited by 30 · 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
Andrei Irimia, A., Goh, S.-Y. M., Torgerson, C. M., Stein, N. R., Chambers, M. C., Vespa, P. M., & Horn, J. D. V. (2013) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2013.08.003 · Cited by 28 · see citing works
Analytic consistency and neural correlates of peak alpha frequency in the study of pain
McLain, N. J., Yani, M. S., & Kutch, J. J. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109460 · Cited by 27 · see citing works
Task modulation of spatiotemporal dynamics in semantic brain networks: An EEG/MEG study
Rahimi, S., Farahibozorg, S.-R., Jackson, R. L., & Hauk, O. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118768 · Cited by 25 · see citing works
Modulation of alpha oscillations in insular cortex reflects the threat of painful stimuli
Franciotti, R., Ciancetta, L., Penna, S. D., Belardinelli, P., Pizzella, V., & Romani, G. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.034 · Cited by 26 · see citing works
Frontal and Parietal Cortices Show Different Spatiotemporal Dynamics across Problem-solving Stages
Tschentscher, N., & Hauk, O. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00960 · Cited by 26 · see citing works
Face-selective responses in combined EEG/MEG recordings with fast periodic visual stimulation (FPVS)
Hauk, O., Rice, G. E., Volfart, A., Magnabosco, F., Ralph, M. A. L., & Rossion, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118460 · Cited by 24 · see citing works
Liao, K., Zhu, M., & Ding, L. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.04.015 · Cited by 24 · see citing works
A spatiotemporal signature of cortical pain relief by tactile stimulation: An MEG study
Hayamizu, M., Hagiwara, K., Hironaga, N., Ogata, K., Hoka, S., & Tobimatsu, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.065 · Cited by 24 · see citing works
Dannhauer, M., Lämmel, E., Wolters, C. H., & Knösche, T. R. (2012) · Brain Topography · doi:10.1007/s10548-012-0263-9 · Cited by 24 · see citing works
Efficient high resolution sLORETA in brain source localization
Sadat-Nejad, Y., & Beheshti, S. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abcc48 · Cited by 23 · see citing works
Sparse imaging of cortical electrical current densities via wavelet transforms
Liao, K., Zhu, M., Ding, L., Valette, S., Zhang, W., & Dickens, D. L. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/6881 · Cited by 23 · see citing works
Muthuraman, M., Moliadze, V., Mideksa, K. G., Anwar, A. R., Stephani, U., Deuschl, G., Freitag, C. M., & Siniatchkin, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140832 · Cited by 23 · see citing works
Approaches to denoise the diffuse optical signals for tissue blood flow measurement
Zhang, P., Gui, Z., Guo, G., & Shang, Y. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.006170 · Cited by 22 · see citing works
Larson, E., Maddox, R. K., & Lee, A. K. C. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00330 · Cited by 19 · see citing works
Todaro, C., Marzetti, L., Valdes-Sosa, P. A., Valdes-Hernandez, P. A., & Pizzella, V. (2018) · Brain Topography · doi:10.1007/s10548-018-0623-1 · Cited by 21 · see citing works
Sato, M., Yamashita, O., Sato, M.-A., & Miyawaki, Y. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198806 · Cited by 22 · see citing works
Towards an Objective Evaluation of EEG/MEG Source Estimation Methods: The Linear Tool KitPreprint
Hauk, O., Stenroos, M., & Treder, M. S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/672956 · Cited by 21 · see citing works
s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography
Li, Y., Qin, J., Hsin, Y.-L., Osher, S., & Liu, W. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00543 · Cited by 20 · see citing works
Lecaignard, F., Bertrand, O., Caclin, A., & Mattout, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117468 · Cited by 20 · see citing works
From letters to composed concepts: A magnetoencephalography study of reading
Flick, G., Abdullah, O., & Liina Pylkkänen, A. (2021) · Human Brain Mapping · doi:10.1002/hbm.25608 · Cited by 15 · see citing works
Spatial accuracy evaluation of magnetic source imaging methods on OPM-based MEG
An, N., Cao, F., Li, W., Wang, W., Xu, W., Wang, C., Xiang, M., Gao, Y., Sui, B., Wang, D., et al. (2022) · iScience · doi:10.1016/j.isci.2022.105177 · Cited by 18 · see citing works
Bekhti, Y., Lucka, F. F., Salmon, J., & Gramfort, A. (2018) · Inverse Problems · doi:10.1088/1361-6420/aac9b3 · Cited by 19 · see citing works
How do the resting EEG preprocessing states affect the outcomes of postprocessing?
Hu, S., Ruan, J., Valdes-Sosa, P. A., & Lv, Z. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121122 · Cited by 17 · see citing works
Rahimi, S., Jackson, R. L., Farahibozorg, S.-R., & Hauk, O. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119958 · Cited by 18 · see citing works
Pellegrino, G., Xu, M., Alkuwaiti, A., Porras-Betancourt, M., Abbas, G. M., Lina, J., Grova, C., & Kobayashi, E. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00479 · Cited by 17 · see citing works
EEG/MEG Source Estimation and Spatial Filtering: The Linear Toolkit
Hauk, O., Stenroos, M., & Treder, M. S. (2019) · Springer eBooks · doi:10.1007/978-3-030-00087-5_85 · Cited by 16 · see citing works
Mitsudo, T., Hironaga, N., & Mori, S. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00763 · Cited by 15 · see citing works
EEG/MEG source imaging using fMRI informed time‐variant constraints
Xu, J., Sheng, J., Qian, T., Luo, Y., & Gao, J. (2018) · Human Brain Mapping · doi:10.1002/hbm.23945 · Cited by 14 · see citing works
Tensor-Based Preprocessing of Combined EEG/MEG Data
Becker, H., Comon, P., Albera, L., & Hal, H. I. (2012) · Cited by 14 · see citing works
Principles of Magnetoencephalography
Hashizume, A., & Hironaga, N. (2016) · Springer eBooks · doi:10.1007/978-4-431-55729-6_1 · Cited by 12 · see citing works
- Authors
- Molins, A., Stufflebeam, S. M., Brown, E. N., & Hämäläinen, M. S.
- Affiliations
- Massachusetts General Hospital (US)
- Harvard University (US)
- Corresponding author
- Molins, A.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 42
- Issue
- 3
- Pages
- 1069-1077
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2007891950
- Cited by
- 192
- References
- 29
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 14 · 2023: 12 · 2022: 9 · 2021: 11 · 2020: 10 · 2019: 15 · 2018: 14 · 2017: 9 · 2016: 13 · 2015: 8 · 2014: 9 · 2013: 17 · 2012: 16
- FWCI
- 3.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (DP1OD003646)
- National Institute of Mental Health (K08MH067966)
- National Institute on Drug Abuse (R01DA015644)
- National Institute of Biomedical Imaging and Bioengineering (R01 EB06385, R01EB006385)
- National Center for Research Resources (P41-RR-14075, P41RR014075)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Keywords
- inverse problems, forward model, singular value analysis, resolution matrix, spatial resolution, dipole source localization, cingulate cortex, somatosensory cortex, boundary element model
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Electroencephalography, Epilepsy, Humans, Signal Processing, Computer-Assisted, Magnetoencephalography
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