The standardized EEG electrode array of the IFCN
Open accessAbstract
Standardized EEG electrode positions are essential for both clinical applications and research. The aim of this guideline is to update and expand the unifying nomenclature and standardized positioning for EEG scalp electrodes. Electrode positions were based on 20% and 10% of standardized measurements from anatomical landmarks on the skull. However, standard recordings do not cover the anterior and basal temporal lobes, which is the most frequent source of epileptogenic activity. Here, we propose a basic array of 25 electrodes including the inferior temporal chain, which should be used for all standard clinical recordings. The nomenclature in the basic array is consistent with the 10-10-system. High-density scalp EEG arrays (64-256 electrodes) allow source imaging with even sub-lobar precision. This supplementary exam should be requested whenever necessary, e.g. search for epileptogenic activity in negative standard EEG or for presurgical evaluation. In the near future, nomenclature for high density electrodes arrays beyond the 10-10 system needs to be defined, to allow comparison and standardized recordings across centers. Contrary to the established belief that smaller heads needs less electrodes, in young children at least as many electrodes as in adults should be applied due to smaller skull thickness and the risk of spatial aliasing.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
A recent guideline of the International Federation of Clinical Neurophysiology suggests at least 64 channels of EEG should be used for electrophysiological source imaging.
“A recent guideline of the International Federation of Clinical Neurophysiology suggests at least 64 channels of EEG should be used for ESI (20).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [20]
Cites
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
Self-citationKlem, G. H., Lüders, H. O., Jasper, H. H., & Elger, C. E. (1999) · PubMed · Cited by 2,361 · 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
The five percent electrode system for high-resolution EEG and ERP measurements
Oostenveld, R., & Praamstra, P. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00527-7 · Cited by 1,915 · see citing works
&NA; (1994) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199401000-00014 · Cited by 557 · see citing works
Shellhaas, R. A., Chang, T., Tsuchida, T. N., Scher, M. S., Riviello, J. J., Abend, N. S., Tich, S. N. T., Wusthoff, C. J., & Clancy, R. R. (2011) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e31823e96d7 · Cited by 500 · see citing works
Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients
Brodbeck, V., Spinelli, L., Lascano, A. M., Wissmeier, M., Vargas, M.-I., Vulliemoz, S., Pollo, C., Schaller, K., Michel, C. M., & Seeck, M. (2011) · Brain · doi:10.1093/brain/awr243 · Cited by 427 · see citing works
Self-citationEpileptic 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
Self-citationSpatial 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
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-citationAcharya, J. N., Hani, A. J., Cheek, J., Thirumala, P. D., & Tsuchida, T. N. (2016) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000316 · Cited by 279 · 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
Consensus Statement on Continuous EEG in Critically Ill Adults and Children, Part II
Herman, S. T., Abend, N. S., Bleck, T. P., Chapman, K. E., Drislane, F. W., Emerson, R. G., Gerard, E. E., Hahn, C. D., Husain, A. M., Kaplan, P. W., et al. (2015) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000165 · Cited by 230 · see citing works
Measurement of the Conductivity of Skull, Temporarily Removed During Epilepsy Surgery
Hoekema, R., Wieneke, G. H., Leijten, F. S. S., Veelen, C. W. M. V., van Rijen, P. C., Huiskamp, G. J. M., Ansems, J., & van Huffelen, A. C. (2003) · Brain Topography · doi:10.1023/a:1025606415858 · Cited by 179 · see citing works
Self-citationIctal eye closure is a reliable indicator for psychogenic nonepileptic seizures
Chung, S. S., Gerber, P., & Kirlin, K. A. (2006) · Neurology · doi:10.1212/01.wnl.0000218160.31537.87 · Cited by 173 · see citing works
Effect of EEG electrode number on epileptic source localization in pediatric patients
Sohrabpour, A., Lu, Y., Kankirawatana, P., Blount, J., Kim, H., & He, B. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.038 · Cited by 149 · see citing works
Self-citationElectrical source imaging for presurgical focus localization in epilepsy patients with normal MRI
Brodbeck, V., Spinelli, L., Lascano, A. M., Pollo, C., Schaller, K., Vargas, M. I., Wissmeyer, M., Michel, C. M., & Seeck, M. (2010) · Epilepsia · doi:10.1111/j.1528-1167.2010.02521.x · Cited by 128 · see citing works
Self-citationEffects of eyelid closure, blinks, and eye movements on the electroencephalogram
Iwasaki, M., Kellinghaus, C., Alexopoulos, A. V., Burgess, R. C., Kumar, A. N. S., HAN, Y. H., Lüders, H. O., & Leigh, R. J. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.11.001 · Cited by 127 · see citing works
Lascano, A. M., Perneger, T., Vulliémoz, S., Spinelli, L., Garibotto, V., Korff, C. M., Vargas, M. I., Michel, C. M., & Seeck, M. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.03.025 · Cited by 119 · see citing works
Self-citationCatching the Invisible: Mesial Temporal Source Contribution to Simultaneous EEG and SEEG Recordings
Koessler, L., Cecchin, T., Colnat‐Coulbois, S., Vignal, J., Jonas, J., Vespignani, H., Ramantani, G., & Maillard, L. G. (2014) · Brain Topography · doi:10.1007/s10548-014-0417-z · Cited by 118 · see citing works
Self-citationSpatiotemporal 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
Self-citationEffects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model
Lew, S., Sliva, D. D., Choe, M.-S., Grant, P. E., Okada, Y. C., Wolters, C. H., & Hämäläinen, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.017 · Cited by 106 · see citing works
The Role of Functional Neuroimaging in Pre-Surgical Epilepsy Evaluation
Pittau, F., Grouiller, F., Spinelli, L., Seeck, M., Michel, C. M., & Vulliémoz, S. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00031 · Cited by 103 · 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-citationAcharya, J. N., Hani, A. J., Thirumala, P. D., & Tsuchida, T. N. (2016) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000317 · Cited by 90 · see citing works
Detection of eye blink artifacts from single prefrontal channel electroencephalogram
Chang, W.-D., Cha, H., Kim, K., & Im, C. (2015) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.10.011 · Cited by 87 · see citing works
Practical considerations in the positioning of EEG electrodes
Binnie, C. D., Dekker, E., Smit, A., & Linden, G. V. D. (1982) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(82)90010-4 · Cited by 81 · see citing works
Spatial localization of EEG electrodes
Koessler, L., Maillard, L. G., Benhadid, A., Vignal, J., Braun, M., & Vespignani, H. (2007) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2007.03.002 · Cited by 81 · see citing works
Self-citationRikir, E., Koessler, L., Gavaret, M., Bartoloméi, F., Colnat‐Coulbois, S., Vignal, J., Vespignani, H., Ramantani, G., & Maillard, L. G. (2014) · Epilepsia · doi:10.1111/epi.12591 · Cited by 77 · see citing works
Self-citationRosenzweig, I., Fogarasi, A., Johnsen, B., Alving, J., Fabricius, M. E., Scherg, M., Neufeld, M. Y., Pressler, R., Kjær, T. W., Boas, W. V. E., et al. (2014) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000019 · Cited by 77 · see citing works
Self-citationThe Influence of Age and Skull Conductivity on Surface and Subdermal Bipolar EEG Leads
Wendel, K. E., Väisänen, J., Seemann, G., Hyttinen, J., & Malmivuo, J. A. (2010) · Computational Intelligence and Neuroscience · doi:10.1155/2010/397272 · Cited by 70 · see citing works
Kuratani, J. D., Pearl, P. L., Sullivan, L. R., Riel-Romero, R. M. S., Cheek, J., Stecker, M. M., San‐Juan, D., Selioutski, O., Sinha, S. R., Drislane, F. W., et al. (2016) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000321 · Cited by 68 · see citing works
Patterns of muscle activation during generalized tonic and tonic-clonic epileptic seizures
Conradsen, I., Wolf, P., Sams, T., Sørensen, H. B. D., & Beniczky, S. (2011) · Epilepsia · doi:10.1111/j.1528-1167.2011.03286.x · Cited by 66 · see citing works
Self-citationEEG 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-citationAutomated detection and labeling of high-density EEG electrodes from structural MR images
Marino, M., Liu, Q., Brem, S., Wenderoth, N., & Mantini, D. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/5/056003 · Cited by 51 · see citing works
Automated differentiation between epileptic and nonepileptic convulsive seizures
Beniczky, S., Conradsen, I., Moldovan, M., Jennum, P., Fabricius, M. E., Benedek, K., Andersen, N., Hjalgrim, H., & Wolf, P. (2014) · Annals of Neurology · doi:10.1002/ana.24338 · Cited by 45 · see citing works
Self-citationNeurophysiology of myoclonus and progressive myoclonus epilepsies
AVANZINI, G., Shibasaki, H., Rubboli, G., Canafoglia, L., Panzica, F., Franceschetti, S., & Hallett, M. (2016) · Epileptic Disorders · doi:10.1684/epd.2016.0835 · Cited by 45 · see citing works
Automatic localization and labeling of EEG sensors (ALLES) in MRI volume
Koessler, L., Benhadid, A., Maillard, L. G., Vignal, J., Felblinger, J., Vespignani, H., & Braun, M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.039 · Cited by 44 · see citing works
Self-citationQuantitative analysis of surface electromyography: Biomarkers for convulsive seizures
Beniczky, S., Conradsen, I., Pressler, R., & Wolf, P. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.04.017 · Cited by 40 · see citing works
Self-citationA Single Camera Photogrammetry System for Multi-angle Fast Localization of EEG Electrodes
Qian, S., & Yang, S. (2011) · Annals of Biomedical Engineering · doi:10.1007/s10439-011-0374-6 · Cited by 32 · see citing works
Automatic detection of slow wave sleep using two channel electro-oculography
Virkkala, J., Hasan, J., Värri, A. O., Himanen, S., & Müller, K. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.08.002 · Cited by 24 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
EEG Source Imaging: A Practical Review of the Analysis Steps
Michel, C. M., & Brunet, D. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00325 · Cited by 716 · see citing works
Self-citationSystematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment
Cassani, R., Estarellas, M., San-Martin, R., Fraga, F. J., & Falk, T. H. (2018) · Disease Markers · doi:10.1155/2018/5174815 · Cited by 388 · 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-citationBabiloni, C., Barry, R. J., Başar, E., Blinowska, K. J., Cichocki, A. S., Drinkenburg, W. H. I. M., Klimesch, W., Knight, R. T., Lopes, F. H. D. S., Nunez, P. L., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.06.234 · Cited by 322 · 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-citationBabiloni, C., Arakaki, X., Azami, H., Bennys, K., Blinowska, K. J., Bonanni, L., Buján, A., Carrillo, M. C., Cichocki, A. S., de Frutos‐Lucas, J., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12311 · Cited by 226 · see citing works
Criteria for defining interictal epileptiform discharges in EEG
Kural, M. A., Duez, L., Hansen, V. S., Larsson, P. G., Rampp, S., Schulz, R., Tankişi, H., Wennberg, R. A., Bibby, B. M., Scherg, M., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009439 · Cited by 219 · see citing works
Self-citationEEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review
Yasin, S., Hussain, S. A., Aslan, S., Raza, I., Muzammel, M., & Othmani, A. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106007 · Cited by 215 · see citing works
Wessel, M. J., Beanato, E., Popa, T., Windel, F., Vassiliadis, P., Menoud, P., Beliaeva, V., Violante, I. R., Abderrahmane, H., Dzialecka, P., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01457-7 · Cited by 173 · see citing works
Methods for analysis of brain connectivity: An IFCN-sponsored review
Rossini, P. M., Iorio, R. D., Bentivoglio, M., Bertini, G., Ferreri, F., Gerloff, C. P., Ilmoniemi, R. J., Miraglia, F., Nitsche, M. A., Pestilli, F., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.06.006 · Cited by 165 · see citing works
Standardized computer-based organized reporting of EEG: SCORE – Second version
Beniczky, S., Aurlien, H., Brøgger, J. C., Hirsch, L. J., Schomer, D. L., Trinka, E., Pressler, R., Wennberg, R. A., Visser, G. H., Eisermann, M., et al. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.07.418 · Cited by 142 · see citing works
Self-citationPresurgical epilepsy evaluation and epilepsy surgery
Baumgartner, C., Koren, J. P., Britto-Arias, M., Zoche, L., & Pirker, S. (2019) · F1000Research · doi:10.12688/f1000research.17714.1 · Cited by 114 · see citing works
Self-citationComparison of cortical EEG responses to realistic sham versus real TMS of human motor cortex
Gordon, P. C., Desideri, D., Belardinelli, P., Zrenner, C., & Ziemann, U. (2018) · Brain stimulation · doi:10.1016/j.brs.2018.08.003 · Cited by 113 · see citing works
Beniczky, S., & Schomer, D. L. (2020) · Epileptic Disorders · doi:10.1684/epd.2020.1217 · Cited by 112 · see citing works
Self-citationFürbass, F., Kural, M. A., Gritsch, G., Hartmann, M., Kluge, T., & Beniczky, S. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.02.032 · Cited by 106 · see citing works
Self-citationNon-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills
Vassiliadis, P., Beanato, E., Popa, T., Windel, F., Morishita, T., Neufeld, E., Duqué, J., Derosière, G., Wessel, M. J., & Hummel, F. C. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01901-z · Cited by 97 · see citing works
Karakuła‐Juchnowicz, H., Róg, J., Juchnowicz, D., Łoniewski, I., Skonieczna‐Żydecka, K., Krukow, P., Futyma-Jędrzejewska, M., & Kaczmarczyk, M. (2019) · Nutrition Journal · doi:10.1186/s12937-019-0475-x · Cited by 93 · see citing works
Training in the practice of noninvasive brain stimulation: Recommendations from an IFCN committee
Fried, P. J., Santarnecchi, E., Antal, A., David Bartrés-faz, A., Bestmann, S., Carpenter, L. L., Celnik, P. A., Edwards, D. J., Farzan, F., Fecteau, S., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.11.018 · Cited by 92 · see citing works
Self-citationElectromagnetic source imaging in presurgical workup of patients with epilepsy
Duez, L., Tankişi, H., Hansen, P. O., Sidenius, P., Sabers, A., Pinborg, L. H., Fabricius, M. E., Rásonyi, G., Rubboli, G., Pedersen, B., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000006877 · Cited by 91 · see citing works
Self-citationBaur, D., Galevska, D., Hussain, S. J., Cohen, L. G., Ziemann, U., & Zrenner, C. (2020) · Brain stimulation · doi:10.1016/j.brs.2020.09.005 · Cited by 86 · see citing works
Gordon, P. C., Jovellar, D. B., Song, Y., Zrenner, C., Belardinelli, P., Siebner, H. R., & Ziemann, U. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118708 · Cited by 79 · see citing works
Ictal and interictal electric source imaging in pre‐surgical evaluation: a prospective study
Sharma, P., Scherg, M., Pinborg, L. H., Fabricius, M. E., Rubboli, G., Pedersen, B., Leffers, A.-M., Uldall, P. V., Jespersen, B., Brennum, J., et al. (2018) · European Journal of Neurology · doi:10.1111/ene.13676 · Cited by 77 · see citing works
Self-citationOverview 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
Japaridze, G., Loeckx, D., Buckinx, T., Larsen, S. A., Proost, R., Jansen, K., MacMullin, P., Paiva, N., Kasradze, S., Rotenberg, A., et al. (2022) · Epilepsia · doi:10.1111/epi.17200 · Cited by 74 · see citing works
Self-citationLi, J., & Wang, Q. (2022) · Information Fusion · doi:10.1016/j.inffus.2021.10.018 · Cited by 77 · see citing works
Swinnen, L., Chatzichristos, C., Jansen, K., Lagae, L. G., Depondt, C., Seynaeve, L., Vancaester, E., Dycke, A. V., Macea, J., Vandecasteele, K., et al. (2021) · Epilepsia · doi:10.1111/epi.17061 · Cited by 72 · see citing works
Peltola, M. E., Leitinger, M., Halford, J. J., Vinayan, K. P., Kobayashi, K., Pressler, R., Mı̂ndruță, I., Mayor, L. C., Lauronen, L., & Beniczky, S. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.01.002 · Cited by 72 · see citing works
Self-citationStefanou, M., Desideri, D., Belardinelli, P., Zrenner, C., & Ziemann, U. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1470-18.2018 · Cited by 72 · see citing works
Tatum, W. O., Mani, J., Jin, K., Halford, J. J., Gloss, D. S., Fahoum, F., Maillard, L. G., Mothersill, I. W., & Beniczky, S. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.07.016 · Cited by 70 · see citing works
Self-citationKural, M. A., Jing, J., Fürbass, F., Perko, H., Qerama, E., Johnsen, B., Fuchs, S., Westover, M. B., & Beniczky, S. (2022) · Epilepsia · doi:10.1111/epi.17206 · Cited by 68 · see citing works
Self-citationDesideri, D., Zrenner, C., Ziemann, U., & Belardinelli, P. (2019) · The Journal of Physiology · doi:10.1113/jp278638 · Cited by 76 · see citing works
Foged, M. T., Martens, T., Pinborg, L. H., Hamrouni, N., Litman, M., Rubboli, G., Leffers, A.-M., Ryvlin, P., Jespersen, B., Paulson, O. B., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.07.031 · Cited by 67 · see citing works
Self-citationAmini, M., Pedram, M. M., Moradi, A., & Ouchani, M. (2021) · Computational and Mathematical Methods in Medicine · doi:10.1155/2021/5511922 · Cited by 63 · see citing works
Peltola, M. E., Leitinger, M., Halford, J. J., Vinayan, K. P., Kobayashi, K., Pressler, R., Mı̂ndruță, I., Mayor, L. C., Lauronen, L., & Beniczky, S. (2023) · Epilepsia · doi:10.1111/epi.17448 · Cited by 63 · see citing works
Self-citationVandecasteele, K., Cooman, T. D., Chatzichristos, C., Cleeren, E., Swinnen, L., Macea, J., Huffel, S. V., Dümpelmann, M., Schulze‐Bonhage, A., Vos, M. D., et al. (2021) · Epilepsia · doi:10.1111/epi.16990 · Cited by 62 · see citing works
Kosnoff, J., Yu, K., Liu, C., & He, B. (2024) · Nature Communications · doi:10.1038/s41467-024-48576-8 · Cited by 58 · see citing works
Self-citationAutomated EEG source imaging: A retrospective, blinded clinical validation study
Baroumand, A. G., van Mierlo, P., Strobbe, G., Pinborg, L. H., Fabricius, M. E., Rubboli, G., Leffers, A.-M., Uldall, P. V., Jespersen, B., Brennum, J., et al. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.09.015 · Cited by 61 · see citing works
Self-citation10-10 electrode system for EEG recording
Nuwer, M. R. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.01.065 · Cited by 61 · see citing works
High-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
Self-citationTaking the EEG Back Into the Brain: The Power of Multiple Discrete Sources
Scherg, M., Berg, P., Nakasato, N., & Beniczky, S. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00855 · Cited by 60 · see citing works
Self-citationEEG based emotion classification using “Correlation Based Subset Selection”
Chakladar, D. D., & Chakraborty, S. (2018) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2018.04.012 · Cited by 59 · see citing works
Jacques, C., Jonas, J., Maillard, L., Colnat-Coulbois, S., Koessler, L., & Rossion, B. (2018) · Human Brain Mapping · doi:10.1002/hbm.24455 · Cited by 58 · see citing works
Self-citationVassiliadis, P., Stiennon, E., Windel, F., Wessel, M. J., Beanato, E., & Hummel, F. C. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad2d32 · Cited by 57 · 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
Self-citationExploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory
Chai, M. T., Amin, H. U., Izhar, L. I., Saad, M. N. M., Rahman, M. A., Malik, A. S., & Tang, T. B. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00066 · Cited by 54 · see citing works
Optimized set of criteria for defining interictal epileptiform EEG discharges
Kural, M. A., Tankişi, H., Duez, L., Hansen, V. S., Udupi, A., Wennberg, R. A., Rampp, S., Larsson, P. G., Schulz, R., & Beniczky, S. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.06.026 · Cited by 54 · see citing works
Self-citationDuration of epileptic seizure types: A data‐driven approach
Larsen, P. M., Wüstenhagen, S., Terney, D., Gardella, E., Aurlien, H., & Beniczky, S. (2022) · Epilepsia · doi:10.1111/epi.17492 · Cited by 53 · see citing works
Self-citationda Freitas, A. W. Q., Almeida, R., Gonçalves, H. M. D. S. L. M., Conceição, G., & Freitas, A. (2024) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2024.05.008 · Cited by 53 · see citing works
Oscillotherapeutics – Time-targeted interventions in epilepsy and beyond
Takeuchi, Y., & Berényi, A. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.01.002 · Cited by 51 · see citing works
Mu rhythm: State of the art with special focus on cerebral palsy
Démas, J., Bourguignon, M., Périvier, M., Tiège, X. D., Dinomais, M., & Bogaert, P. V. (2019) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2019.06.007 · Cited by 51 · see citing works
Musical Sonification of Arm Movements in Stroke Rehabilitation Yields Limited Benefits
Nikmaram, N., Scholz, D. S., Großbach, M., Schmidt, S. B., Spogis, J., Belardinelli, P., Müller‐Dahlhaus, F., Remy, J., Ziemann, U., Rollnik, J. D., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01378 · Cited by 51 · see citing works
O’Sullivan, M., Temko, A., Bocchino, A., O’Mahony, C., Boylan, G. B., & Popovici, E. M. (2019) · Sensors · doi:10.3390/s19112637 · Cited by 50 · see citing works
A reliable stretchable dry electrode for monitoring of EEG signals
Harati, A., & Jahanshahi, A. (2021) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2021.112727 · Cited by 48 · see citing works
EEG biomarker candidates for the identification of epilepsy
Gallotto, S., & Seeck, M. (2022) · Clinical Neurophysiology Practice · doi:10.1016/j.cnp.2022.11.004 · Cited by 47 · see citing works
Self-citationUsing EEG to Distinguish Between Writing and Typing for the Same Cognitive Task
Qu, X., Mei, Q., Liu, P., & Hickey, T. J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60735-7_7 · Cited by 46 · see citing works
Under-sampling in epilepsy: Limitations of conventional EEG
Baud, M. O., Schindler, K. A., & Rao, V. R. (2020) · Clinical Neurophysiology Practice · doi:10.1016/j.cnp.2020.12.002 · Cited by 48 · see citing works
Electroencephalography, magnetoencephalography and source localization: their value in epilepsy
Mégevand, P., & Seeck, M. (2018) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000545 · Cited by 45 · see citing works
Self-citationThe human electrocerebellogram (ECeG) recorded non-invasively using scalp electrodes
Todd, N. P. M., Govender, S., & Colebatch, J. G. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.06.012 · Cited by 45 · see citing works
Wearable Reduced-Channel EEG System for Remote Seizure Monitoring
Frankel, M. A., Lehmkuhle, M. J., Spitz, M. C., Newman, B. J., Richards, S. V., & Arain, A. M. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.728484 · Cited by 44 · see citing works
Systematic analysis and comparison of commercial seizure‐detection software
Koren, J. P., Hafner, S., Feigl, M., & Baumgartner, C. (2021) · Epilepsia · doi:10.1111/epi.16812 · Cited by 43 · see citing works
Self-citationStefano, P. D., Carboni, M., Marquis, R., Spinelli, L., Seeck, M., & Vulliémoz, S. (2021) · European Journal of Neurology · doi:10.1111/ene.15106 · Cited by 42 · see citing works
Self-citationAutomated detection of nocturnal motor seizures using an audio‐video system
Larsen, S. A., Terney, D., Østerkjerhuus, T., Merinder, T. V., Annala, K., Knight, A., & Beniczky, S. (2022) · Brain and Behavior · doi:10.1002/brb3.2737 · Cited by 42 · see citing works
Self-citationSingh, J., Ebersole, J. S., & Brinkmann, B. H. (2022) · Epilepsia · doi:10.1111/epi.17361 · Cited by 41 · see citing works
Meyer, G. M., Marco‐Pallarés, J., Boulinguez, P., & Sescousse, G. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118478 · Cited by 39 · see citing works
Macea, J., Bhagubai, M., Broux, V., Vos, M. D., & Paesschen, W. V. (2023) · Epilepsia · doi:10.1111/epi.17517 · Cited by 40 · see citing works
Nous, A., Seynaeve, L., Feys, O., Wens, V., Tiège, X. D., van Mierlo, P., Baroumand, A. G., Nieboer, K., Allemeersch, G., Mangelschots, S., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01373-9 · Cited by 40 · see citing works
The nature of respiratory muscle weakness in patients with late-onset Pompe disease
Spießhoefer, J., Henke, C., Kabitz, H., Brix, T. J., Görlich, D., Herkenrath, S. D., Randerath, W. J., Young, P., & Boentert, M. (2019) · Neuromuscular Disorders · doi:10.1016/j.nmd.2019.06.011 · Cited by 40 · see citing works
ISCEV standard for clinical visual evoked potentials (2025 update)
Habjan, M. Š., Bach, M., van Genderen, M. M., Li, S., Mizota, A., Nilsson, J., Thompson, D., & Robson, A. G. (2025) · Documenta Ophthalmologica · doi:10.1007/s10633-025-10042-1 · Cited by 39 · see citing works
Noninvasive modulation of the hippocampal-entorhinal complex during spatial navigation in humans
Beanato, E., Moon, H.-J., Windel, F., Vassiliadis, P., Wessel, M. J., Popa, T., Pauline, M., Neufeld, E., Falco, E. D., Gauthier, B., et al. (2024) · Science Advances · doi:10.1126/sciadv.ado4103 · Cited by 40 · see citing works
Ronconi, L., Vitale, A., Federici, A., Pini, E., Molteni, M., & Casartelli, L. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102484 · Cited by 41 · see citing works
Analysis of brain areas in emotion recognition from EEG signals with deep learning methods
Aslan, M., Baykara, M., & Alakuş, T. B. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16696-w · Cited by 35 · see citing works
Lehnertz, K., Bröhl, T., & Rings, T. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.598694 · Cited by 35 · see citing works
Babiloni, C., Arakaki, X., Bonanni, L., Buján, A., Carrillo, M. C., Percio, C. D., Edelmayer, R. M., Egan, G. F., Elahh, F. M., Evans, A. C., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.03.003 · Cited by 50 · see citing works
Zrenner, C., Belardinelli, P., Ermolova, M., Gordon, P. C., Stenroos, M., Zrenner, B., & Ziemann, U. (2022) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109662 · 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
Characteristics of respiratory muscle involvement in myotonic dystrophy type 1
Henke, C., Spießhoefer, J., Kabitz, H., Herkenrath, S. D., Randerath, W. J., Brix, T. J., Görlich, D., Young, P., & Boentert, M. (2019) · Neuromuscular Disorders · doi:10.1016/j.nmd.2019.10.011 · Cited by 34 · see citing works
Multi-class Time Continuity Voting for EEG Classification
Qu, X., Liu, P., Li, Z., & Hickey, T. J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60735-7_3 · Cited by 34 · see citing works
Tatum, W. O., Mani, J., Jin, K., Halford, J. J., Gloss, D. S., Fahoum, F., Maillard, L. G., Mothersill, I. W., & Beniczky, S. (2021) · Epilepsia · doi:10.1111/epi.16977 · Cited by 34 · see citing works
Self-citationEarly brain activity: Translations between bedside and laboratory
Luhmann, H. J., Kanold, P. O., Molnár, Z., & Vanhatalo, S. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102268 · Cited by 32 · see citing works
Daniel Mansilla, D., Tveit, J., Aurlien, H., Avigdor, T., Ros‐Castelló, V., Ho, A., Abdallah, C., Gotman, J., Beniczky, S., & Frauscher, B. (2024) · Epilepsia · doi:10.1111/epi.18082 · Cited by 34 · see citing works
Self-citationValidating EEG source imaging using intracranial electrical stimulation
Unnwongse, K., Rampp, S., Wehner, T., Kowoll, A., Parpaley, Y., von Lehe, M., Lanfer, B., Rusiniak, M., Wolters, C. H., & Wellmer, J. (2022) · Brain Communications · doi:10.1093/braincomms/fcad023 · Cited by 31 · see citing works
Applications of flexible electronics related to cardiocerebral vascular system
Lin, R., Lei, M., Ding, S., Cheng, Q., Ma, Z., Wang, L., Tang, Z., Zhou, B., & Zhou, Y. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100787 · Cited by 33 · see citing works
Electroencephalogram monitoring during anesthesia and critical care: a guide for the clinician
Manohar, N., Ferrari, A., Greenblatt, A., Berardino, A., Peixoto, C., Duarte, F., Moaiyeri, Z., Robba, C., Nascimento, F. A., Kreuzer, M., et al. (2024) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-024-01250-2 · Cited by 31 · see citing works
Added clinical value of the inferior temporal EEG electrode chain
Justesen, A. B., Johansen, A. B. E., Martinussen, N. I., Wasserman, D., Terney, D., Meritam, P., Gardella, E., & Beniczky, S. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.09.113 · Cited by 31 · see citing works
Self-citationSemiautomated classification of nocturnal seizures using video recordings
Peltola, J., Basnyat, P., Larsen, S. A., Østerkjærhuus, T., Merinder, T. V., Terney, D., & Beniczky, S. (2022) · Epilepsia · doi:10.1111/epi.17207 · Cited by 31 · see citing works
Self-citationKhng, K. H., & Mane, R. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101106 · Cited by 30 · see citing works
The Arch Electrode: A Novel Dry Electrode Concept for Improved Wearing Comfort
Vasconcelos, B., Fiedler, P., Machts, R., Haueisen, J., & Fonseca, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.748100 · 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
Vetter, D. E., Zrenner, C., Belardinelli, P., Mutanen, T. P., Kozák, G., Marzetti, L., & Ziemann, U. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120427 · Cited by 29 · see citing works
Seizure detection with deep neural networks for review of two‐channel electroencephalogram
Hartmann, M., Koren, J. P., Baumgartner, C., Duun‐Henriksen, J., Gritsch, G., Kluge, T., Perko, H., & Fürbass, F. (2022) · Epilepsia · doi:10.1111/epi.17259 · Cited by 29 · see citing works
Self-citationWearable System Based on Ultra-Thin Parylene C Tattoo Electrodes for EEG Recording
Mascia, A., Collu, R., Spanu, A., Fraschini, M., Barbaro, M., & Cosseddu, P. (2023) · Sensors · doi:10.3390/s23020766 · Cited by 29 · see citing works
Li, H., Liao, J., Wang, H., Zhan, C. A., & Yang, F. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108510 · Cited by 28 · see citing works
Spießhoefer, J., Henke, C., Kabitz, H., Akova‐Oeztuerk, E., Dräger, B., Herkenrath, S. D., Randerath, W. J., Young, P., Brix, T. J., & Boentert, M. (2019) · Journal of the Peripheral Nervous System · doi:10.1111/jns.12341 · Cited by 28 · see citing works
Vespa, S., Baroumand, A. G., Santos, S. F., Vrielynck, P., de Tourtchaninoff, M., Feys, O., Strobbe, G., Raftopoulos, C., van Mierlo, P., & Tahry, R. E. (2020) · Seizure · doi:10.1016/j.seizure.2020.03.001 · Cited by 28 · see citing works
Vorderwülbecke, B. J., Carboni, M., Tourbier, S., Brunet, D., Seeber, M., Spinelli, L., Seeck, M., & Vulliémoz, S. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.09.018 · Cited by 28 · see citing works
Self-citationBaumgartner, C., Baumgartner, J., Lang, C., Lisy, T., & Koren, J. P. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14030863 · Cited by 27 · see citing works
Self-citationPhase-dependent offline enhancement of human motor memory
Hussain, S. J., Vollmer, M. K., Stimely, J., Norato, G., Zrenner, C., Ziemann, U., Buch, E. R., & Cohen, L. G. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.05.009 · Cited by 27 · see citing works
A practical review of electroencephalography’s value to consumer research
McInnes, A. N., Sung, B., & Hooshmand, R. (2022) · International Journal of Market Research · doi:10.1177/14707853221112622 · Cited by 31 · 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
Marcantoni, I., Assogna, R., Borrello, G. D., Stefano, M. D., Morano, M., Romagnoli, S., Leoni, C., Bruschi, G., Sbrollini, A., Morettini, M., et al. (2023) · Sensors · doi:10.3390/s23135968 · Cited by 26 · see citing works
- Authors
- Seeck, M., Koessler, L., Bast, T., Leijten, F., Michel, C., Baumgartner, C., He, B., & Beniczky, S.
- Affiliations
- University Hospital of Geneva (CH)
- Centre National de la Recherche Scientifique (FR)
- Diakonie Kork (DE)
- University Medical Center Utrecht (NL)
- University of Geneva (CH)
- Sigmund Freud Privatuniversität Wien (AT)
- University of Minnesota (US)
- Aarhus University (DK)
- Corresponding author
- Seeck, Margitta
- ORCID
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 128
- Issue
- 10
- Pages
- 2070-2077
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2735688622
- Cited by
- 489
- References
- 41
- Citations by year
- 2026: 47 · 2025: 79 · 2024: 59 · 2023: 70 · 2022: 66 · 2021: 54 · 2020: 46 · 2019: 41 · 2018: 23 · 2017: 3 · 2012: 1
- FWCI
- 3.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Clinical Neurophysiology (acceptedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- HAL (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Funders
- Swiss National Science Foundation (140332)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- high-density EEG, epileptogenic activity, preoperative assessment, pediatric EEG, spatial aliasing, skull thickness, anatomical landmarks
- MeSH terms
- Age Factors, Brain, Electrodes, Electroencephalography, Humans, Scalp, Skull
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
