An alternative subspace approach to EEG dipole source localization
Open accessAbstract
In the present study, we investigate a new approach to electroencephalography (EEG) three-dimensional (3D) dipole source localization by using a non-recursive subspace algorithm called FINES. In estimating source dipole locations, the present approach employs projections onto a subspace spanned by a small set of particular vectors (FINES vector set) in the estimated noise-only subspace instead of the entire estimated noise-only subspace in the case of classic MUSIC. The subspace spanned by this vector set is, in the sense of principal angle, closest to the subspace spanned by the array manifold associated with a particular brain region. By incorporating knowledge of the array manifold in identifying FINES vector sets in the estimated noise-only subspace for different brain regions, the present approach is able to estimate sources with enhanced accuracy and spatial resolution, thus enhancing the capability of resolving closely spaced sources and reducing estimation errors. The present computer simulations show, in EEG 3D dipole source localization, that compared to classic MUSIC, FINES has (1) better resolvability of two closely spaced dipolar sources and (2) better estimation accuracy of source locations. In comparison with RAP-MUSIC, FINES' performance is also better for the cases studied when the noise level is high and/or correlations among dipole sources exist.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
RAP-MUSIC and FINE localization mitigate the correlation problem to a certain degree.
“Variations of MUSIC, such as the recursively applied and projected MUSIC (RAP-MUSIC) (39) and the first principle vector (FINE) localization method (40), mitigate this problem to a certain degree.”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [40]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505 · see citing works
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994) · International Journal of Psychophysiology · doi:10.1016/0167-8760(84)90014-x · Cited by 2,869 · see citing works
Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003 · see citing works
Linear algebra and its applications
Bunting, H. A. L., Larman, D. G., Pa, J., Seidel, D. T. J. J., Bunting, H. A. L., Larman, D. G., & Pach, J. (1989) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(89)90164-x · Cited by 2,000 · see citing works
(2018) · De Gruyter eBooks · doi:10.1515/9783110542400 · Cited by 1,878 · see citing works
Multiple dipole modeling and localization from spatio-temporal MEG data
Mosher, J. C., Lewis, P. S., & Leahy, R. M. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.141192 · Cited by 1,048 · see citing works
Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model
Scherg, M., & CRAMON, D. V. (1985) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(85)90033-4 · Cited by 683 · see citing works
Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm
Gorodnitsky, I. F., George, J. S., & Rao, B. D. (1995) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00107-a · Cited by 567 · see citing works
Fundamentals if dipole source potential analysis
Scherg, M. (1990) · Max Planck Institute for Plasma Physics · Cited by 530 · see citing works
Linear and Nonlinear Current Density Reconstructions
Fuchs, M., Wagner, M., Köhler, T., & Wischmann, H.-A. (1999) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199905000-00006 · Cited by 436 · see citing works
Nunez, P. L., Silberstein, R. B., Cadusch, P. J., Wijesinghe, R. S., Westdorp, A. F., & Srinivasan, R. (1994) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)90112-0 · Cited by 422 · see citing works
Source localization using recursively applied and projected (RAP) MUSIC
Mosher, J. C., & Leahy, R. M. (1999) · IEEE Transactions on Signal Processing · doi:10.1109/78.740118 · Cited by 398 · see citing works
A study of dipole localization accuracy for MEG and EEG using a human skull phantom
Leahy, R. M., Mosher, J. C., Spencer, M. E., Huang, M., & Lewine, J. D. (1998) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(98)00057-1 · Cited by 386 · see citing works
Electric Dipole Tracing in the Brain by Means of the Boundary Element Method and Its Accuracy
He, B., Musha, T., Okamoto, Y., Homma, S., Nakajima, Y., & Sato, T. (1987) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1987.326056 · Cited by 334 · see citing works
Self-citationA Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem
Baillet, S., & Garnero, L. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.568913 · Cited by 326 · see citing works
Wang, J.-Z., Williamson, S. J., & Kaufman, L. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.142641 · Cited by 299 · see citing works
High resolution EEG: 124-channel recording, spatial deblurring and MRI integration methods
Gevins, A. S., Le, J., Martin, N. K., Brickett, P., Desmond, J. E., & Reutter, B. W. (1994) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)90050-7 · Cited by 246 · see citing works
APPLICATION OF DIPOLE LOCALIZATION METHODS TO SOURCE IDENTIFICATION OF HUMAN EVOKED POTENTIALS*
Wood, C. C. (1982) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1982.tb50789.x · Cited by 172 · see citing works
EEG localization accuracy improvements using realistically shaped head models
Cuffin, B. N. (1996) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.486287 · Cited by 137 · see citing works
He, B., Wang, Y., & Wu, D. (1999) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.790505 · Cited by 127 · see citing works
Self-citationSpatial-spectrum estimation in a location sector
Buckley, K. M., & Xu, X. L. (1990) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.103086 · Cited by 116 · see citing works
Self-citationBabiloni, F., Babiloni, C., Carducci, F., Fattorini, L., Anello, C., Onorati, P., & Urbano, A. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0921-884x(96)96508-x · Cited by 112 · see citing works
A method for localizing EEG sources in realistic head models
Cuffin, B. N. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.362917 · Cited by 107 · see citing works
An improved method for localizing electric brain dipoles
Salu, Y., Cohen, L. G., Rose, D. F., Sxato, S., Kufta, C. V., & Hallett, M. (1990) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.55680 · Cited by 103 · see citing works
The future of electroencephalography in assessing neurocognitive functioning
Gevins, A. S. (1998) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00120-x · Cited by 97 · see citing works
He, B., Zhang, X., Lian, J., Sasaki, H., Wu, D., & Towle, V. L. (2002) · NeuroImage · doi:10.1006/nimg.2002.1127 · Cited by 95 · see citing works
Self-citationBias analysis of the MUSIC location estimator
Xu, X.-L., & Buckley, K. M. (1992) · IEEE Transactions on Signal Processing · doi:10.1109/78.157296 · Cited by 90 · see citing works
Self-citationA computer simulation study of cortical imaging from scalp potentials
Wang, Y., & He, B. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.678607 · Cited by 85 · see citing works
Self-citationHigh-Resolution Spatio-Temporal Functional Neuroimaging of Brain Activity
He, B., & Lian, J. (2002) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v30.i456.30 · Cited by 56 · see citing works
Self-citationSidman, R. D., Vincent, D. J., Smith, D. B., & Lee, L. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.135537 · Cited by 50 · see citing works
Sekihara, K., & Scholz, B. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.341827 · Cited by 39 · see citing works
Equivalent dipole estimation of spontaneous EEG alpha activity: two-moving dipole approach
He, B., & Musha, T. (1992) · Medical & Biological Engineering & Computing · doi:10.1007/bf02446971 · Cited by 26 · see citing works
Self-citationBias and variance of direction-of-arrival estimates from MUSIC, MIN-NORM, and FINE
Yu, X.-L., & Buckley, K. M. (1994) · IEEE Transactions on Signal Processing · doi:10.1109/78.298288 · Cited by 15 · see citing works
DSL and MUSIC Under model misspecification and noise-conditions
Zhi, Z., & Jewett, D. L. (1994) · Brain Topography · doi:10.1007/bf01186773 · Cited by 7 · see citing works
Kosugi, Y., Uemoto, N., Hayashi, Y., & He, B. (2001) · Neurological Research · doi:10.1179/016164101101198820 · Cited by 5 · see citing works
Self-citationLiddle (2001) · doi:10.1002/1097-0193(200102)12:2
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Review on solving the inverse problem in EEG source analysis
Grech, R., Cassar, T., Muscat, J., Camilleri, K. P., Fabri, S. G., Zervakis, M., Xanthopoulos, P., Sakkalis, V., & Vanrumste, B. (2008) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-5-25 · Cited by 1,193 · see citing works
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-citationElectrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300 · see citing works
Self-citationElectrophysiological Brain Connectivity: Theory and Implementation
He, B., Laura Astolfi, A., Valdes-Sosa, P. A., Marinazzo, D., Palva, S., Bénar, C., Michel, C. M., & Koenig, T. W. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913928 · Cited by 236 · see citing works
Self-citationIctal source analysis: Localization and imaging of causal interactions in humans
Ding, L., Worrell, G. A., Lagerlund, T. D., & He, B. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.042 · Cited by 183 · see citing works
Self-citationMultimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
He, B., & Liu, Z. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008233 · Cited by 171 · see citing works
Self-citation(2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64032-1.00006-0 · Cited by 134 · see citing works
Self-citationEEG source imaging in epilepsy—practicalities and pitfalls
Kaiboriboon, K., Lüders, H. O., Hamaneh, M. B., Turnbull, J. P., & Lhatoo, S. D. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.150 · Cited by 129 · see citing works
Lu, Y., Yang, L., Worrell, G. A., & He, B. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.11.007 · Cited by 98 · see citing works
Self-citationPitfalls in the dipolar model for the neocortical EEG sources
Riera, J. J., Ogawa, T., Goto, T., Sumiyoshi, A., Nonaka, H., Evans, A., Miyakawa, H., & Kawashima, R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00098.2011 · Cited by 98 · see citing works
Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings
Zhang, Y., van Drongelen, W., Kohrman, M. H., & He, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.263 · Cited by 69 · see citing works
Self-citationSeizure Onset Zone Localization from Ictal High-Density EEG in Refractory Focal Epilepsy
Staljanssens, W., Strobbe, G., Holen, R. V., Birot, G., Gschwind, M., Seeck, M., Vandenberghe, S., Vulliémoz, S., & van Mierlo, P. (2016) · Brain Topography · doi:10.1007/s10548-016-0537-8 · Cited by 66 · see citing works
Spatio–Temporal Reconstruction of Bilateral Auditory Steady-State Responses Using MEG Beamformers
Popescu, M., Popescu, E.-A., Chan, T., Blunt, S. D., & Lewine, J. D. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.906504 · Cited by 53 · see citing works
Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients
Lu, Y., Worrell, G. A., Zhang, H. C., Yang, L., Brinkmann, B. H., Nelson, C. L., & He, B. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2297332 · Cited by 47 · see citing works
Self-citationDing, L., Wilke, C. T., Xu, B., Xu, X., van Drongelen, W., Kohrman, M. H., & He, B. (2007) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e318038fd52 · Cited by 46 · see citing works
Self-citationA second-order finite element algorithm for solving the three-dimensional EEG forward problem
Zhang, Y. C., Zhu, S. A., & He, B. (2004) · Physics in Medicine and Biology · doi:10.1088/0031-9155/49/13/014 · Cited by 46 · see citing works
Self-citationThe Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction
Strohmeier, D., Bekhti, Y., Haueisen, J., & Gramfort, A. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2553445 · Cited by 44 · see citing works
Sparse EEG Source Localization Using Bernoulli Laplacian Priors
Costa, F., Batatia, H., Chaâri, L., & Tourneret, J. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2450015 · Cited by 41 · see citing works
Estimation of Number of Independent Brain Electric Sources From the Scalp EEGs
Bai, X., & He, B. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.876620 · Cited by 42 · see citing works
Self-citationLocalization and propagation analysis of ictal source rhythm by electrocorticography
Kim, J. S., Im, C., Jung, Y., Kim, E. Y., Lee, S. K., & Chung, C. K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.240 · Cited by 38 · see citing works
Review on Mathematical Modelling of Electroencephalography (EEG)
Darbas, M., & Lohrengel, S. (2018) · Jahresbericht der Deutschen Mathematiker-Vereinigung · doi:10.1365/s13291-018-0183-z · Cited by 35 · see citing works
APPLICATIONS OF THE SELF-POTENTIAL METHOD TO HYDROLOGICAL PROBLEMS
Revil, A., Титов, К. С., Doussan, C., & Lapenna, V. (2007) · Springer eBooks · doi:10.1007/978-1-4020-4912-5_9 · Cited by 35 · see citing works
Ding, L., & He, B. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.878118 · Cited by 44 · see citing works
Self-citationA State-Space Modeling Approach for Localization of Focal Current Sources From MEG
Fukushima, M., Yamashita, O., Kanemura, A., Ishii, S., Kawato, M., & Sato, M.-A. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2189713 · Cited by 29 · see citing works
Advanced Signal Processing Methods for Characterization of Schizophrenia
Masychev, K., Ciprian, C., Ravan, M., Reilly, J. P., & MacCrimmon, D. J. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3011842 · Cited by 28 · see citing works
Mobile Electroencephalography for Studying Neural Control of Human Locomotion
Song, S., & Nordin, A. D. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.749017 · Cited by 26 · see citing works
Electrophysiological Mapping and Neuroimaging
He, B., & Ding, L. (2013) · Neural Engineering · doi:10.1007/978-1-4614-5227-0_12 · Cited by 26 · see citing works
Self-citationProjection Versus Prewhitening for EEG Interference Suppression
Wu, S. C., Swindlehurst, A. L., Wang, P. T., & Nenadić, Z. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2187335 · Cited by 24 · see citing works
Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer
Hosseini, S. A. H., Sohrabpour, A., Akçakaya, M., & He, B. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2859204 · Cited by 23 · see citing works
Self-citationA Machine Learning Approach Using Effective Connectivity to Predict Response to Clozapine Treatment
Ciprian, C., Masychev, K., Ravan, M., Reilly, J. P., & MacCrimmon, D. J. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.3019685 · Cited by 24 · see citing works
Electrophysiological Neuroimaging
He, B., & Lian, J. (2007) · Springer eBooks · doi:10.1007/0-306-48610-5_7 · Cited by 23 · see citing works
Self-citationOn the estimation of the number of dipole sources in EEG source localization
Bai, X., & He, B. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.06.001 · Cited by 19 · see citing works
Self-citation3D source localization of interictal spikes in epilepsy patients with MRI lesions
Ding, L., Worrell, G. A., Lagerlund, T. D., & He, B. (2006) · Physics in Medicine and Biology · doi:10.1088/0031-9155/51/16/011 · Cited by 19 · see citing works
Self-citationEfficient Dipole Parameter Estimation in EEG Systems With Near-ML Performance
Wu, S. C., Swindlehurst, A. L., Wang, P. T., & Nenadić, Z. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2187336 · Cited by 16 · see citing works
Khosropanah, P., Ramli, A. R., Lim, K. S., Marhaban, M. H., & Ahmedov, A. A. (2017) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2017-0011 · Cited by 15 · see citing works
High-resolution Functional Source and Impedance Imaging
He, B. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1615385 · Cited by 15 · see citing works
Self-citationAn Adaptive Synthetic Aperture Method Applied to Ultrasound Tissue Harmonic Imaging
Varnosfaderani, M. H. H., Asl, B. M., & Faridsoltani, S. (2018) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2018.2799870 · Cited by 13 · see citing works
Yitembe, B. R., Crevecoeur, G., Keer, R. V., & Dupré, L. R. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2107740 · Cited by 12 · see citing works
Minimum Variance Brain Source Localization for Short Data Sequences
Ravan, M., Reilly, J. P., & Hasey, G. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2283514 · Cited by 11 · see citing works
RETRACTED ARTICLE: Analysis of brain signal processing and real-time EEG signal enhancement
Sharma, P. C., Raja, R., Vishwakarma, S. K., Sharma, S., Mishra, P. K., & Kushwah, V. S. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12887-z · Cited by 10 · see citing works
RetractedSanei, S., & Chambers, J. A. (2007) · Wiley eBooks · doi:10.1002/9780470511923.ch5 · Cited by 7 · see citing works
Inverse Problem for M/EEG Source Localization: A Review
Basri, S. M. M., Al-Nashash, H. A., & Mir, H. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3502917 · Cited by 6 · see citing works
Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis
Ding, L., Worrell, G. A., Lagerlund, T. D., & He, B. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259393 · Cited by 6 · see citing works
Self-citationElectroencephalography (EEG): Inverse Problems
He, B., Hori, J.-I., & Babiloni, F. (2006) · Wiley eBooks · doi:10.1002/9780471740360.ebs0655 · Cited by 6 · see citing works
Self-citationImaging epileptogenic brain using high density EEG source imaging and MRI
He, B., & Sohrabpour, A. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.04.074 · Cited by 5 · see citing works
Self-citationExploring Functional and Causal Connectivity in the Brain
Ding, M., & He, B. (2012) · Springer eBooks · doi:10.1007/978-1-4614-5227-0_13 · Cited by 5 · see citing works
Self-citationJafadideh, A. T., & Asl, B. M. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2886251 · Cited by 5 · see citing works
Varnosfaderani, M. H. H., & Asl, B. M. (2019) · Ultrasonics · doi:10.1016/j.ultras.2019.01.005 · Cited by 5 · see citing works
Region-Based Current-Source Reconstruction for the Inverse EEG Problem
Peña, J., & Marroquin, J. L. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2099120 · Cited by 4 · see citing works
EEG Source Imaging (ESI) utility in clinical practice
Khosropanah, P., Ho, E. T. W., Lim, K. S., Fong, S., Le, M. T., & Narayanan, V. (2020) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2019-0128 · Cited by 3 · see citing works
Beamspace fast fully adaptive brain source localization for limited data sequences
Ravan, M. (2017) · Inverse Problems · doi:10.1088/1361-6420/aa6807 · Cited by 3 · see citing works
Boughariou, J., Zouch, W., Slima, M. B., Kammoun, I., & Hamida, A. B. (2015) · Journal of Electronic Imaging · doi:10.1117/1.jei.24.6.061204 · Cited by 2 · see citing works
Algorithms and Bounds for Dynamic Causal Modeling of Brain Connectivity
Wu, S. C., & Swindlehurst, A. L. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2255040 · Cited by 2 · see citing works
Spatio-temporal Reconstruction of Neural Sources Using Indirect Dominant Mode Rejection
Jafadideh, A. T., & Asl, B. M. (2018) · Brain Topography · doi:10.1007/s10548-018-0645-8 · Cited by 2 · see citing works
Bayesian Structured Sparsity Priors for EEG Source Localization Technical ReportPreprint
Costa, F., Batatia, H., Oberlin, T., & Tourneret, J. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1509.04576 · Cited by 2 · see citing works
Estimation of brain activity sources of sympathovagal dynamics
Milea, D., Catrambone, V., & Valenza, G. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121501 · Cited by 1 · see citing works
Functional neuroimaging of dynamic brain activation
He, B. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649924 · Cited by 1 · see citing works
Self-citationLocalization of MEG and EEG Brain Signals by Alternating ProjectionPreprint
Adler, A., Wax, M., & Pantazis, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1908.11416 · Cited by 1 · see citing works
Gilbert, D. G., & Diggs, H. A. (2013) · Wiley eBooks · doi:10.1002/9781118384404.ch22
EEG and MEG Source Localization
(2013) · Wiley eBooks · doi:10.1002/9781118622162.ch14
From high-resolution EEG to electrophysiological neuroimaging
He, B., & Ding, L. (2004) · International Congress Series · doi:10.1016/j.ics.2004.06.015
Self-citationMultiple Dipole Sources Localization from the Scalp EEG Using a High-resolution Subspace Approach
Ding, L., & He, B. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1616605
Self-citationDipole Sources Localization of MRPs using ICA and Cortical Dipole Layer Imaging
Hori, J., & Aoki, N. (2007) · Joint Meeting of International Symposium on Noninvasive Functional Source Imaging of Brain and Heart and International Conference on Functional Biomedical Imaging · doi:10.1109/nfsi-icfbi.2007.4387681
Reduced spatially correlated noise influence using subspace source localization method FINES
Ding, L., Xu, X., Xu, B., Ni, Y., & He, B. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404222
Self-citationFunctional neuroimaging of dynamic brain activity
He, B. (2008) · IEEE International Conference on Information Technology and Applications in Biomedicine · doi:10.1109/itab.2008.4570499
Self-citationAoki, N., Hori, J.-I., & He, B. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259907
Self-citationRegion based reconstruction from the axial view of the brain for inverse EEG problem
Arivazhagan, M., & Mira, N. (2012) · International Conference on Advanced Computing · doi:10.1109/icoac.2012.6416820
Sanei, S., & Chambers, J. A. (2021) · Wiley eBooks · doi:10.1002/9781119386957.ch10
Knösche, T. R., & Haueisen, J. (2022) · Springer eBooks · doi:10.1007/978-3-030-74918-7_6
Milea, D., Catrambone, V., & Valenza, G. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11251580
Low-rank tensor decomposition for cross-bispectral analysis of EEG data
Kaziki, D., Engel, A. K., & Nolte, G. (2026) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2026.110739
- Authors
- Xu, X.-L., Xu, B., & He, B.
- Affiliations
- University of Illinois Chicago (US)
- University of Minnesota (US)
- ORCID
- He, Bin
- Venue
- Physics in Medicine and Biology
- Publisher
- IOP Publishing
- Published
- 2004-01-05
- Volume
- 49
- Issue
- 2
- Pages
- 327-343
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W2049466097
- Cited by
- 73
- References
- 36
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2022: 2 · 2021: 4 · 2020: 2 · 2019: 4 · 2018: 6 · 2017: 3 · 2016: 2 · 2015: 4 · 2014: 1 · 2013: 4 · 2012: 8
- FWCI
- 7.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (CAREER, 9875344, 0218736)
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering (R01-EB-00178, R01EB000178)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
- Keywords
- MUSIC algorithm, array manifold, spatial resolution, rap music
- MeSH terms
- Algorithms, Brain, Brain Mapping, Computer Simulation, Electroencephalography, Genetic Vectors, Humans, Image Processing, Computer-Assisted, Models, Neurological, Music, Software, Time Factors, Reproducibility of Results, Models, Statistical, Normal Distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
