Effect of EEG electrode number on epileptic source localization in pediatric patients
Open accessAbstract
Objective To investigate the relationship between EEG source localization and the number of scalp EEG recording channels.Methods 128 EEG channel recordings of 5 pediatric patients with medically intractable partial epilepsy were used to perform source localization of interictal spikes. The results were compared with surgical resection and intracranial recordings. Various electrode configurations were tested and a series of computer simulations based on a realistic head boundary element model were also performed in order to further validate the clinical findings.Results The improvement seen in source localization substantially decreases as the number of electrodes increases. This finding was evaluated using the surgical resection, intracranial recordings and computer simulation. It was also shown in the simulation that increasing the electrode numbers could remedy the localization error of deep sources. A plateauing effect was seen in deep and superficial sources with further increasing the electrode number.Conclusion The source localization is improved when electrode numbers increase, but the absolute improvement in accuracy decreases with increasing electrode number.Significance Increasing the electrode number helps decrease localization error and thus can more ably assist the physician to better plan for surgical procedures.
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?
Higher spatial sampling helps improve the precision of electrophysiological source imaging.
“Studies indicate that higher spatial sampling helps improve the precision of ESI (18, 19).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [19]
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
Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details.
Pascual-Marqui, R. D. (2002) · PubMed · Cited by 3,340 · see citing works
Nunez, P. L., & Srinivasan, R. (2006) · doi:10.1093/acprof:oso/9780195050387.001.0001 · Cited by 2,531 · see citing works
Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Miller, G. A., Ritter, W., Ruchkin, D. S., Rugg, M. D., et al. (2000) · Psychophysiology · doi:10.1111/1469-8986.3720127 · Cited by 2,157 · 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
Baillet, S., Mosher, J. C., & Leahy, R. M. (2001) · IEEE Signal Processing Magazine · doi:10.1109/79.962275 · Cited by 1,691 · see citing works
Michel, C. M., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & de Peralta, R. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.06.001 · Cited by 1,663 · see citing works
Electric Fields of the Brain: The Neurophysics of EEG
Fermaglich, J. (1982) · JAMA · doi:10.1001/jama.1982.03320380071046 · Cited by 1,557 · see citing works
Surgical treatment of the epilepsies
Bloomfield, S. M., & Shetter, A. G. (1988) · Surgical Neurology · doi:10.1016/0090-3019(88)90022-5 · Cited by 1,206 · 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
Spatial sampling of head electrical fields: the geodesic sensor net
Tucker, D. M. (1993) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(93)90121-b · Cited by 756 · see citing works
Statistical control of artifacts in dense array EEG/MEG studies
Junghöfer, M., Elbert, T. R., Tucker, D. M., & Rockstroh, B. S. (2000) · Psychophysiology · doi:10.1111/1469-8986.3740523 · Cited by 577 · see citing works
Towle, V. L., Bolaños, J., Suarez, D., Tan, K. K., Grzeszczuk, R. P., Levin, D. N., Çakmur, R., Frank, S., & Spire, J. (1993) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(93)90061-y · Cited by 443 · see citing works
Intracranial EEG Substrates of Scalp EEG Interictal Spikes
Tao, J. X., Ray, A. K., Hawes‐Ebersole, S., & Ebersole, J. S. (2005) · Epilepsia · doi:10.1111/j.1528-1167.2005.11404.x · Cited by 425 · see citing works
Epileptic source localization with high density EEG: how many electrodes are needed?
Lantz, G., Grave de Peralta, R., Spinelli, L., Seeck, M., & Michel, C. M. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00337-1 · Cited by 413 · see citing works
Spatial spectra of scalp EEG and EMG from awake humans
Freeman, W., Holmes, M., Burke, B. C., & Vanhatalo, S. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00045-2 · Cited by 370 · see citing works
Focal neuronal migration disorders and intractable partial epilepsy: Results of surgical treatment
Palmini, A., Andermann, F., Olivier, A., Tampieri, D. I., & ROBITAILLE, Y. (1991) · Annals of Neurology · doi:10.1002/ana.410300603 · Cited by 344 · 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-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-citationEstimating the spatial Nyquist of the human EEG
Srinivasan, R., Tucker, D. M., & Murias, M. (1998) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03209412 · Cited by 257 · see citing works
Update on the Epidemiology and Prognosis of Pediatric Epilepsy
Shinnar, S., & Pellock, J. M. (2002) · Journal of Child Neurology · doi:10.1177/08830738020170010201 · Cited by 257 · see citing works
EEG source localization in focal epilepsy: Where are we now?
Plummer, C., Harvey, A. S., & Cook, M. J. (2007) · Epilepsia · doi:10.1111/j.1528-1167.2007.01381.x · Cited by 252 · see citing works
Spatial sampling and filtering of EEG with spline Laplacians to estimate cortical potentials
Srinivasan, R., Nunez, P. L., Tucker, D. M., Silberstein, R. B., & Cadusch, P. J. (1996) · Brain Topography · doi:10.1007/bf01186911 · Cited by 245 · see citing works
Evaluation of EEG localization methods using realistic simulations of interictal spikes
Grova, C., Jean Daunizeau, A., Lina, J.-M., Bénar, C., Benali, H., & Gotman, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.053 · Cited by 229 · see citing works
Validation of ICA-based myogenic artifact correction for scalp and source-localized EEG
McMenamin, B. W., Shackman, A. J., Maxwell, J. S., Bachhuber, D. R. W., Koppenhaver, A. M., Greischar, L. L., & Davidson, R. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.010 · Cited by 211 · see citing works
Ictal 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-citation128-Channel EEG Source Imaging in Epilepsy: Clinical Yield and Localization Precision
Michel, C. M., Lantz, G., Spinelli, L., de Peralta, R. G., Landis, T., & Seeck, M. (2004) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200403000-00001 · Cited by 183 · see citing works
A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem
de Peralta-Menendez, R. G., & Andino, S. L. G. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.664200 · Cited by 175 · see citing works
Lantz, G., Spinelli, L., Seeck, M., Menéndez, R. G. D. P., Sottas, C. C., & Michel, C. M. (2003) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200309000-00003 · Cited by 172 · see citing works
L1-Norm-Based Common Spatial Patterns
Wang, H., Tang, Q., & Zheng, W. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2177523 · Cited by 144 · see citing works
EEG Source Imaging in Pediatric Epilepsy Surgery: A New Perspective in Presurgical Workup
Sperli, F., Spinelli, L., Seeck, M., Kurian, M., Michel, C. M., & Lantz, G. (2006) · Epilepsia · doi:10.1111/j.1528-1167.2006.00550.x · Cited by 137 · see citing works
Spatiotemporal EEG Analysis and Distributed Source Estimation in Presurgical Epilepsy Evaluation
Michel, C. M., de Peralta, R. G., Lantz, G., Andino, S. L. G., Spinelli, L., Blanke, O., Landis, T., & Seeck, M. (1999) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199905000-00005 · Cited by 118 · see citing works
Surgical Treatment for Epilepsy
Engel, J. (2008) · JAMA · doi:10.1001/jama.2008.756 · Cited by 116 · see citing works
Noninvasive Localization of Epileptogenic Foci by EEG Source Modeling
Ebersole, J. S. (2000) · Epilepsia · doi:10.1111/j.1528-1157.2000.tb01531.x · Cited by 104 · see citing works
Geodesic photogrammetry for localizing sensor positions in dense-array EEG
Russell, G. S., Eriksen, K. J., Poolman, P., Luu, P., & Tucker, D. M. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.12.022 · Cited by 104 · 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-citationHe, 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-citationDynamic imaging of ictal oscillations using non-invasive high-resolution EEG
Yang, L., Wilke, C., Brinkmann, B., Worrell, G. A., & He, B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.043 · Cited by 93 · see citing works
Self-citationResective reoperation for failed epilepsy surgery
Siegel, A. M., Cascino, G. D., Meyer, F. B., McClelland, R. L., So, E. L., Marsh, W. R., Scheithauer, B. W., & Sharbrough, F. W. (2004) · Neurology · doi:10.1212/01.wnl.0000147476.86575.a7 · Cited by 92 · see citing works
A method for determining optimal interelectrode spacing for cerebral topographic mapping
Spitzer, A. R., Cohen, L. G., Fabrikant, J., & Hallett, M. (1989) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(89)90072-2 · Cited by 82 · see citing works
Dipole localization in patients with epilepsy using the relistically shaped head model
Roth, B. J., Ko, D., von Albertini-Carletti, I., Scaffidi, D., & Sato, S. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(96)95111-5 · Cited by 79 · see citing works
Interictal spike analysis of high-density EEG in patients with partial epilepsy
Wang, G., Worrell, G. A., Yang, L., Wilke, C. T., & He, B. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.10.043 · Cited by 77 · see citing works
Self-citationHuppertz, H., Hof, E., Klisch, J., Wagner, M., Lücking, C. H., & Kristeva-Feige, R. (2001) · NeuroImage · doi:10.1006/nimg.2000.0680 · Cited by 74 · see citing works
Grand Challenges in Mapping the Human Brain: NSF Workshop Report
He, B., Coleman, T. P., Genin, G. M., Glover, G. H., Hu, X. P., Johnson, N., Liu, T., Makeig, S., Sajda, P., & Ye, K. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2283970 · Cited by 70 · see citing works
Self-citationWang, Y., & Gotman, J. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00594-6 · Cited by 69 · see citing works
A practical method for determining electrode positions on the head
de Munck, J. C., Vijn, P. C. M., & Spekreijse, H. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90023-w · Cited by 60 · see citing works
Spatial mislocalization of EEG electrodes – effects on accuracy of dipole estimation
Khosla, D., Don, M., & Kwong, B. (1999) · Clinical Neurophysiology · doi:10.1016/s0013-4694(98)00121-7 · Cited by 57 · see citing works
Dipole‐Source Analysis in a Realistic Head Model in Patients with Focal Epilepsy
Herrendorf, G., Steinhoff, B. J., Kolle, R., Baudewig, J., Waberski, T. D., Büchner, H., & Paulus, W. (2000) · Epilepsia · doi:10.1111/j.1528-1157.2000.tb01508.x · Cited by 55 · see citing works
Gevins, A. S. (1993) · Brain Topography · doi:10.1007/bf01128684 · Cited by 51 · see citing works
Krings, T., Chiappa, K. H., Cuffin, B. N., Buchbinder, B. R., & Cosgrove, G. R. (1998) · Annals of Neurology · doi:10.1002/ana.410440114 · Cited by 51 · see citing works
Ding, L., Lai, Y. L., & He, B. (2004) · Physics in Medicine and Biology · doi:10.1088/0031-9155/50/1/004 · Cited by 49 · see citing works
Self-citationSalmelin, R. H., & Baillet, S. (2009) · Human Brain Mapping · doi:10.1002/hbm.20795 · Cited by 48 · 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-citationHigh-resolution EEG: Cortical potential imaging of interictal spikes
Zhang, X., van Drongelen, W., Hecox, K. E., Towle, V. L., Frim, D. M., McGee, A., & He, B. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00194-9 · Cited by 38 · see citing works
Self-citationA Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis
Oikonomou, V. P., Blekas, K., & Astrakas, L. G. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2104321 · Cited by 38 · see citing works
Dynamic imaging of seizure activity in pediatric epilepsy patients
Lu, Y., Yang, L., Worrell, G. A., Brinkmann, B., Nelson, C., & He, B. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.04.021 · Cited by 32 · see citing works
Self-citationInterictal electromagnetic source imaging in focal epilepsy: practices, results and recommendations
Leijten, F. S. S., & Huiskamp, G. J. M. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283081e23 · Cited by 30 · see citing works
A 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
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-citation3-D Source Localization of Epileptic Foci Integrating EEG and MRI Data
Mirkovic, N., Adjouadi, M., Yaylali, I., & Jayakar, P. (2003) · Brain Topography · doi:10.1023/b:brat.0000006335.75534.78 · Cited by 22 · see citing works
Noninvasive cortical imaging of epileptiform activities from interictal spikes in pediatric patients
Lai, Y., Zhang, X., van Drongelen, W., Korhman, M., Hecox, K., Ni, Y., & He, B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.026 · Cited by 22 · see citing works
Self-citationGenetic Localization of the Ca2+ Channel Gene CACNG2 Near SCA10 on Chromosome 22q13
Burgess, D. L., Matsuura, T., Ashizawa, T., & Noebels, J. L. (2000) · Epilepsia · doi:10.1111/j.1528-1157.2000.tb01500.x · Cited by 22 · see citing works
3D 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
Electric Fields and Currents in Biological Tissue
Nunez, P. L., & Srinivasan, R. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195050387.003.0004 · Cited by 11 · see citing works
Lai, D., Liu, C., Eggen, M. D., Iaizzo, P. A., & He, B. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/13/027 · Cited by 9 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Picton T Lins O Scherg M The recording and analysis of event-related Boller F Grafman J Handbook of Neurophysiology Amsterdam Elsevier 1995 3 73
Cited by
Sorted by citations
The standardized EEG electrode array of the IFCN
Seeck, M., Koessler, L., Bast, T., Leijten, F., Michel, C., Baumgartner, C., He, B., & Beniczky, S. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.06.254 · Cited by 489 · see citing works
Self-citationEEG source localization: Sensor density and head surface coverage
Song, J., Davey, C., Poulsen, C., Luu, P., Turovets, S. I., Anderson, E. W., Li, K., & Tucker, D. M. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.08.015 · Cited by 347 · 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-citationTMS combined with EEG: Recommendations and open issues for data collection and analysis
Hernandez-Pavon, J. C., Veniero, D., Bergmann, T. O., Belardinelli, P., Bortoletto, M., Casarotto, S., Casula, E. P., Farzan, F., Fecchio, M., Julkunen, P., et al. (2023) · Brain Stimulation · doi:10.1016/j.brs.2023.02.009 · Cited by 238 · see citing works
Electrophysiological 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-citationAsadzadeh, S., Rezaii, T. Y., Beheshti, S., Delpak, A., & Meshgini, S. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108740 · Cited by 176 · see citing works
Comparison 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
Kumar, S., Sharma, A. K., & Tsunoda, T. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1964-6 · Cited by 141 · see citing works
Sohrabpour, A., Cai, Z., Ye, S., Brinkmann, B. H., Worrell, G. A., & He, B. (2020) · Nature Communications · doi:10.1038/s41467-020-15781-0 · Cited by 115 · see citing works
Self-citationHigher Balance Task Demands are Associated with an Increase in Individual Alpha Peak Frequency
Hülsdünker, T., Mierau, A., & Strüder, H. K. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00695 · Cited by 111 · see citing works
Source localization of ictal epileptic activity based on high‐density scalp EEG data
Nemtsas, P., Birot, G., Pittau, F., Michel, C. M., Schaller, K., Vulliémoz, S., Kimiskidis, V. Κ., & Seeck, M. (2017) · Epilepsia · doi:10.1111/epi.13749 · Cited by 108 · see citing works
Sohrabpour, A., Lu, Y., Worrell, G., & He, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.064 · Cited by 89 · see citing works
Self-citationKumar, S., Mamun, K. A., & Sharma, A. K. (2017) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2017.10.025 · Cited by 85 · see citing works
Overview of EEG Montages and Principles of Localization
Acharya, J. N., & Acharya, V. J. (2019) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000538 · Cited by 76 · see citing works
Tsuchimoto, S., Shibusawa, S., Iwama, S., Hayashi, M., Okuyama, K., Mizuguchi, N., Kato, K. H., & Ushiba, J. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109089 · Cited by 75 · see citing works
A new parameter tuning approach for enhanced motor imagery EEG signal classification
Kumar, S., & Sharma, A. K. (2018) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-018-1821-4 · Cited by 68 · 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
The Application of EEG Mu Rhythm Measures to Neurophysiological Research in Stuttering
Jenson, D. E., Bowers, A. L., Hudock, D., & Saltuklaroglu, T. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00458 · Cited by 63 · see citing works
Balance task difficulty affects postural sway and cortical activity in healthy adolescents
Gebel, A., Lehmann, T., & Granacher, U. (2020) · Experimental Brain Research · doi:10.1007/s00221-020-05810-1 · Cited by 64 · see citing works
Sohrabpour, A., Ye, S., Worrell, G. A., Zhang, W., & He, B. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2616474 · Cited by 59 · see citing works
Self-citationHigh-Density EEG in Current Clinical Practice and Opportunities for the Future
Stoyell, S. M., Wilmskoetter, J., Dobrota, M.-A., Chinappen, D. M., Bonilha, L., Mintz, M., Brinkmann, B. H., Herman, S. T., Peters, J. M., Vulliémoz, S., et al. (2021) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000807 · Cited by 60 · see citing works
Mouthaan, B. E., Rados, M., Boon, P., Carrette, E., Diehl, B., Jung, J., Kimiskidis, V. Κ., Kobulashvili, T., Kuchukhidze, G., Larsson, P. G., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.12.016 · Cited by 56 · see citing works
EEG Mapping and Source Imaging
Michel, C. M., & He, B. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190228484.003.0045 · Cited by 55 · see citing works
Self-citationFunctional Brain Dysfunction in Patients with Benign Childhood Epilepsy as Revealed by Graph Theory
Adebimpe, A., Aarabi, A., Bourel‐Ponchel, E., Mahmoudzadeh, M., & Wallois, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139228 · Cited by 53 · see citing works
Individualized pattern recognition for detecting mind wandering from EEG during live lectures
Dhindsa, K., Acai, A., Wagner, N., Bosynak, D., Kelly, S., Bhandari, M., Petrisor, B. A., & Sonnadara, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222276 · Cited by 52 · see citing works
A high‐density 256‐channel cap for dry electroencephalography
Fiedler, P., Fonseca, C., Supriyanto, E., Zanow, F., & Haueisen, J. (2021) · Human Brain Mapping · doi:10.1002/hbm.25721 · Cited by 52 · see citing works
Findings about LORETA Applied to High-Density EEG—A Review
Dattola, S., Morabito, F. C., Mammone, N., & Foresta, F. L. (2020) · Electronics · doi:10.3390/electronics9040660 · Cited by 51 · see citing works
Zhang, C. H., Sha, Z., Mundahl, J., Liu, S., Lu, Y., Henry, T. R., & He, B. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.07.014 · Cited by 45 · see citing works
Self-citationNormative brain mapping using scalp EEG and potential clinical application
Janiukstyte, V., Owen, T. W., Chaudhary, U. J., Diehl, B., Lemieux, L., Duncan, J. S., de Tisi, J., Wang, Y., & Taylor, P. N. (2023) · Scientific Reports · doi:10.1038/s41598-023-39700-7 · Cited by 38 · see citing works
Decoding of motor imagery EEG based on brain source estimation
Li, M., Wang, Y., Jia, S., Sun, Y.-J., & Yang, J. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.02.006 · Cited by 38 · see citing works
Epileptiform discharge propagation: Analyzing spikes from the onset to the peak
Mălîia, M. D., Meritam, P., Scherg, M., Fabricius, M. E., Rubboli, G., Mı̂ndruță, I., & Beniczky, S. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.12.021 · Cited by 37 · see citing works
Kumar, S., Sharma, R., Sharma, A. K., & Tsunoda, T. (2016) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2016.7727457 · Cited by 36 · see citing works
Allouch, S., Kabbara, A., Duprez, J., Khalil, M. A., Modolo, J., & Hassan, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120006 · Cited by 35 · see citing works
Electrocortical activity correlated with locomotor adaptation during split‐belt treadmill walking
Jacobsen, N. A., & Ferris, D. P. (2023) · The Journal of Physiology · doi:10.1113/jp284505 · Cited by 35 · see citing works
Hatlestad‐Hall, C., Bruña, R., Liljeström, M., Renvall, H., Heuser, K., Taubøll, E., Maestú, F., & Haraldsen, I. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.03.002 · Cited by 38 · see citing works
High density EEG—What do we have to lose?
Chu, C. J. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.07.003 · Cited by 32 · see citing works
An electroencephalographic signature predicts craving for methamphetamine
Tian, W., Zhao, D., Ding, J., Zhan, S., Zhang, Y., Etkin, A., Wu, W., & Yuan, T. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101347 · Cited by 31 · see citing works
Neo, P. S. ‐., McNaughton, N., & Sellbom, M. (2021) · Personality Neuroscience · doi:10.1017/pen.2021.4 · Cited by 30 · see citing works
EEG source imaging concordance with intracranial EEG and epileptologist review in focal epilepsy
Cox, B. C., Danoun, O. A., Lundstrom, B. N., Lagerlund, T. D., Wong‐Kisiel, L. C., & Brinkmann, B. H. (2021) · Brain Communications · doi:10.1093/braincomms/fcab278 · Cited by 30 · see citing works
Soler, A. F., Moctezuma, L. A., Giraldo, E., & Molinas, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-15252-0 · Cited by 26 · see citing works
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination
Liu, F., Rosenberger, J. M., Lou, Y., Hosseini, R., Su, J., & Wang, S. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2017.2756664 · Cited by 25 · see citing works
Foresta, F. L., Morabito, F. C., Marino, S., & Dattola, S. (2019) · Electronics · doi:10.3390/electronics8091031 · Cited by 25 · see citing works
EEG Resting-State Functional Networks in Amnestic Mild Cognitive Impairment
Caravaglios, G., Muscoso, E. G., Blandino, V., Maria, G. D., Gangitano, M., Graziano, F., Guajana, F., & Piccoli, T. (2022) · Clinical EEG and Neuroscience · doi:10.1177/15500594221110036 · Cited by 38 · see citing works
Supporting the Detection of Early Alzheimer’s Disease with a Four-Channel EEG Analysis
Perez‐Valero, E., Morillas, C. A., López-Gordo, M. A., & Minguillón, J. (2023) · International Journal of Neural Systems · doi:10.1142/s0129065723500211 · Cited by 24 · see citing works
EEG source imaging of epileptic activity at seizure onset
Kuo, C., Tucker, D. M., Luu, P., Jenson, K., Tsai, J. J., Ojemann, J. G., & Holmes, M. D. (2018) · Epilepsy Research · doi:10.1016/j.eplepsyres.2018.07.006 · 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
Automated interictal source localisation based on high-density EEG
Vorderwülbecke, B. J., Baroumand, A. G., Spinelli, L., Seeck, M., van Mierlo, P., & Vulliémoz, S. (2021) · Seizure · doi:10.1016/j.seizure.2021.09.020 · Cited by 23 · see citing works
An Overview of Brain Fingerprint Identification Based on Various Neuroimaging Technologies
Zhang, S., Yang, W., Mou, H., Pei, Z., Li, F., & Wu, X. (2023) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2023.3314155 · Cited by 23 · see citing works
Liu, J., Dong, K., Sun, Y. M., Kakkos, I., Huang, F., Wang, G., Qi, P., Chen, X., Zhang, D., Bezerianos, A., et al. (2021) · Engineering · doi:10.1016/j.eng.2021.11.013 · Cited by 22 · see citing works
Adebisi, A. T., & Veluvolu, K. C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1039496 · Cited by 21 · see citing works
Electric source imaging for presurgical epilepsy evaluation: current status and future prospects
Mégevand, P., & Seeck, M. (2020) · Expert Review of Medical Devices · doi:10.1080/17434440.2020.1748008 · Cited by 21 · see citing works
Michel, C. M. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64032-1.00012-6 · Cited by 19 · see citing works
Utility of Cognitive Neural Features for Predicting Mental Health Behaviors
Kato, R., Balasubramani, P. P., Ramanathan, D., & Mishra, J. (2022) · Sensors · doi:10.3390/s22093116 · Cited by 18 · see citing works
Mean-Field Modeling of Brain-Scale Dynamics for the Evaluation of EEG Source-Space Networks
Allouch, S., Yochum, M., Kabbara, A., Duprez, J., Khalil, M. A., Wendling, F., Hassan, M., & Modolo, J. (2021) · Brain Topography · doi:10.1007/s10548-021-00859-9 · Cited by 18 · see citing works
Pahi, M. R., Cavalli, J., Nees, F., Flor, H., & Andoh, J. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz067 · Cited by 17 · see citing works
Cortical Source Analysis of Event-Related Potentials: A Developmental Approach
Conte, S., & Richards, J. E. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101092 · Cited by 17 · see citing works
Battaglia, F., Gugliandolo, G., Campobello, G., & Donato, N. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3268471 · Cited by 16 · see citing works
Successful reproduction of a large EEG study across software packages
Kabbara, A., Forde, N., Maumet, C., & Hassan, M. (2023) · Neuroimage Reports · doi:10.1016/j.ynirp.2023.100169 · Cited by 16 · see citing works
Jamous, R., Ghorbani, F., Mückschel, M., Münchau, A. M., Frings, C., & Beste, C. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120891 · Cited by 16 · see citing works
Subject-based dipole selection for decoding motor imagery tasks
Li, M., Dong, Y., Sun, Y.-J., Yang, J., & Duan, L. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.03.055 · Cited by 15 · see citing works
Electrophysiological Mapping and Source Imaging
He, B., Ding, L., & Sohrabpour, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-43395-6_13 · Cited by 15 · see citing works
Self-citationAhmad, B., & Barkana, B. D. (2025) · Neurology International · doi:10.3390/neurolint17040046 · Cited by 14 · see citing works
Rigoard, P., Manuel Roulaud, B., Goudman, L., Adjali, N., Ounajim, A., Voirin, J., Perruchoud, C., Bouche, B., Page, P., Guillevin, R., et al. (2021) · Medicina · doi:10.3390/medicina58010007 · Cited by 14 · see citing works
Influence of dialect use on speech perception: a mismatch negativity study
Bühler, J. C., Schmid, S., & Maurer, U. (2016) · Language Cognition and Neuroscience · doi:10.1080/23273798.2016.1272704 · Cited by 15 · see citing works
Multiple tangent space projection for motor imagery EEG classification
Omari, S., Omari, A., & Abderrahim, M. (2023) · Applied Intelligence · doi:10.1007/s10489-023-04551-2 · Cited by 13 · see citing works
Ramanathan, D., Nan, J., Grennan, G., Jaiswal, S., Purpura, S. R., Manchanda, J. K., Maric, V., Balasubramani, P. P., & Mishra, J. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100384 · Cited by 13 · see citing works
Effect of Sensor Density on eLORETA Source Localization Accuracy
Dattola, S., Foresta, F. L., Bonanno, L., Salvo, S. D., Mammone, N., Marino, S., & Morabito, F. C. (2019) · Smart innovation, systems and technologies · doi:10.1007/978-981-13-8950-4_36 · Cited by 13 · see citing works
Moridera, T., Rashed, E. A., Mizutani, S., & Hirata, A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.695668 · Cited by 13 · see citing works
Electroencephalography: electrode arrays in dogs
Everest, S., Gaitero, L., Dony, R., Linden, A. Z., Cortez, M. A., & James, F. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1402546 · Cited by 12 · see citing works
Safety of slow‐pulsed transcranial electrical stimulation in acute spike suppression
Holmes, M. D., Feng, R., Wise, M. V., Ma, C., Ramon, C., Wu, J., Luu, P., Hou, J., Pan, L., & Tucker, D. M. (2019) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.50934 · Cited by 12 · see citing works
Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task
Al-Subari, K., Al-Baddai, S., Tomé, A. M., Volberg, G., Ludwig, B., & Lang, E. W. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167957 · Cited by 12 · see citing works
Pretto, M. D., Deiber, M., & James, C. E. (2018) · Human Movement Science · doi:10.1016/j.humov.2018.07.007 · Cited by 10 · see citing works
Frequency-tagged visual evoked responses track syllable effects in visual word recognition
Montani, V., Chanoine, V., Jonathan Grainger, B., & Ziegler, J. C. (2019) · Cortex · doi:10.1016/j.cortex.2019.08.014 · Cited by 11 · see citing works
Jacobsen, N. A., & Ferris, D. P. (2024) · PeerJ · doi:10.7717/peerj.17451 · Cited by 9 · see citing works
Jacobsen, N. A., & Ferris, D. P. (2024) · eNeuro · doi:10.1523/eneuro.0515-23.2024 · Cited by 12 · see citing works
Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy
Corona, L., Rijal, S., Tanritanir, O., Shahdadian, S., Keator, C. G., Tran, L., Malik, S. I., Bosemani, M., Hansen, D. R., Shahani, D., et al. (2024) · Journal of Visualized Experiments · doi:10.3791/66494 · Cited by 9 · see citing works
Explaining E/MEG Source Imaging and Beyond: An Updated Review
Zhao, F., Kakkos, I., Matsopoulos, G. K., Guan, C., & Sun, Y. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3588350 · Cited by 10 · see citing works
Papadelis, C. L., Conrad, S. E., Song, Y., Shandley, S., Hansen, D. R., Bosemani, M., Malik, S. I., Keator, C. G., & Perry, M. S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.826139 · Cited by 9 · see citing works
Hill, A. T., Ford, T. C., Bailey, N. W., Lum, J. A. G., Bigelow, F. J., Oberman, L. M., & Enticott, P. G. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf020 · Cited by 7 · see citing works
Time Course of Odor Categorization Processing
Bae, J., Kim, K., Moon, S. A., Choe, H. K., Young-Sun, J., Kang, W., & Moon, C. (2021) · Cerebral Cortex Communications · doi:10.1093/texcom/tgab058 · Cited by 8 · see citing works
Belardinelli, P., Azodi-Avval, R., Ortiz, E., Naros, G., Grimm, F., Weiß, D., & Gharabaghi, A. (2019) · Journal of neurosurgery · doi:10.3171/2018.11.jns181684 · Cited by 7 · see citing works
Improving surgical outcome with electric source imaging and high field magnetic resonance imaging
Saute, R. L., Peixoto-Santos, J. E., Velasco, T. R., & Leite, J. P. (2021) · Seizure · doi:10.1016/j.seizure.2021.02.006 · Cited by 7 · see citing works
On the Dynamics of Spatial Updating
Blouin, J., Pialasse, J.-P., Mouchnino, L., & Simoneau, M. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.780027 · Cited by 7 · see citing works
Horrillo‐Maysonnial, A., Avigdor, T., Abdallah, C., Daniel Mansilla, D., Thomas, J., von Ellenrieder, N., Royer, J., Bernhardt, B. C., Grova, C., Gotman, J., et al. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.08.009 · Cited by 7 · see citing works
Mehra, C., Beyh, A., Laiou, P., Garcés, P., Jones, E. J. H., Mason, L., Buitelaar, J. K., Johnson, M. H., Murphy, D., Loth, E., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.985 · Cited by 6 · see citing works
Estimating underlying neuronal activity from EEG using an iterative sparse technique
Sohrabpour, A., Lu, Y., & He, B. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318442 · Cited by 6 · see citing works
Self-citationVivas, A. B., Paraskevopoulos, E., Castillo, A., & Fuentes, L. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00227 · Cited by 6 · see citing works
Heide, E., van de Velden, D., Garnica-Agudelo, D., Hewitt, M., Riedel, C. H., & Focke, N. K. (2023) · Epilepsia Open · doi:10.1002/epi4.12732 · Cited by 6 · see citing works
Deep learning-based EEG source imaging is robust under varying electrode configurations
Rong, J., Sun, R., Joseph, B., Worrell, G. A., & He, B. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.04.009 · Cited by 5 · 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-citationSemi-automated EEG Enhancement Improves Localization of Ictal Onset Zone With EEG-Correlated fMRI
Eyndhoven, S. V., Hunyadi, B., Dupont, P. J., Paesschen, W. V., & Huffel, S. V. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00805 · Cited by 5 · see citing works
Park, S., Lee, S. K., & Chung, C. K. (2014) · Epilepsy Research · doi:10.1016/j.eplepsyres.2014.10.005 · Cited by 5 · see citing works
Applying correlation analysis to electrode optimization in source domain
Dong, Y., Wang, L., & Li, M. (2023) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-023-02770-w · Cited by 5 · see citing works
Jafadideh, A. T., & Asl, B. M. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2886251 · Cited by 5 · see citing works
Mathieu, B., Abillama, A., Moré, S., Mercier, C., Simoneau, M., Danna, J., Mouchnino, L., & Blouin, J. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108582 · Cited by 4 · see citing works
Safavi, S. M., Lopour, B. A., & Chou, P. H. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2793882 · Cited by 4 · see citing works
Localization with high-density EEG: Complexity of analysis versus accuracy
Acharya, V. J., & Acharya, J. N. (2019) · Clinical Neurophysiology Practice · doi:10.1016/j.cnp.2019.11.001 · Cited by 4 · see citing works
HD‐EEG source imaging with simultaneous SEEG recording in drug‐resistant epilepsy
Hao, S., Zhao, H., Feng, Z., Liu, W., Zhang, C., Ping, H., Zhou, Q., Sun, B., Zhan, S., & Cao, C. (2025) · Epilepsia · doi:10.1111/epi.18552 · Cited by 3 · see citing works
ELECTROENCEPHALOGRAPHY FEATURE ENHANCEMENT BASED ON ELECTRODE ACTIVITY RATIO FOR IDENTIFICATION
Albasri, A., Abdali-Mohammadi, F., & Fathi, A. (2020) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519420500116 · Cited by 3 · see citing works
Examining the Low- Resolution Electromagnetic Tomography Technique for EEG Brain Mapping
Tejay, G. P. S., & Mohammed, Z. A. (2023) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3583581.3583586 · Cited by 3 · see citing works
- Authors
- Sohrabpour, A., Lu, Y., Kankirawatana, P., Blount, J., Kim, H., & He, B.
- Affiliations
- University of Minnesota (US)
- University of Alabama at Birmingham (US)
- Corresponding author
- He, Bin
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 126
- Issue
- 3
- Pages
- 472-480
- ISSN
- 1388-2457 (ISSN-L)
- PMC
- PMC4289666
- OpenAlex
- W2020479538
- Cited by
- 149
- References
- 65
- Citations by year
- 2026: 2 · 2025: 14 · 2024: 9 · 2023: 29 · 2022: 13 · 2021: 16 · 2020: 10 · 2019: 19 · 2018: 8 · 2017: 9 · 2016: 10 · 2015: 7 · 2014: 2 · 2012: 1
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (EB006433, EY023101, HL117664)
- NSF
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Keywords
- EEG source localization, electrode number, pediatric epilepsy, interictal spikes, electrode configuration, surgical planning, intracranial recordings
- MeSH terms
- Adolescent, Brain, Brain Mapping, Child, Child, Preschool, Computer Simulation, Electrodes, Electroencephalography, Epilepsies, Partial, Female, Humans, Male
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