The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Epileptic source localization with high density EEG: how many electrodes are needed?
Abstract
Objective Electroencephalography (EEG) source reconstruction is becoming recognized as a useful technique to non-invasively localize the epileptic focus. Whereas, large array magnetoencephalography (MEG) systems are available since quite some time, application difficulties have previously prevented multichannel EEG recordings. Recently, however, EEG systems which allow for quick (10-20min) application of, and recording from, up to 125 electrodes have become available. The purpose of the current investigation was to systematically compare the accuracy of epileptic source localization with high electrode density to that obtained with sparser electrode setups.Methods Interictal epileptiform activity was recorded with 123 electrodes in 14 epileptic patients undergoing presurgical evaluation. Each single epileptiform potential was down sampled to 63 and 31 electrodes, and a distributed source model (EPIFOCUS) was used to reconstruct the sources with the 3 different electrode configurations. The localization accuracy with the 3 electrode setups was then assessed, by determining the distance from the inverse solution, maximum of each single spike to the epileptogenic lesion.Results In 9/14 patients, the distance from the EEG source to the lesion was significantly smaller with 63 than with 31 electrodes, and increasing the number of electrodes to 123 increased this number of patients from 9 to 11. Simulations confirmed the relation between the number of electrodes and localization accuracy.Conclusions The results illustrate the necessity of multichannel EEG recordings for high source location accuracy in epileptic patients.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Third, the analysis of EEG oscillations did not explore the relationships with brain structure as well as source analysis (Lantz et al. 2003).”
From Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness (2024) · cites this paper as Lantz et al. 2003
In the citing paper
“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 [18]
Citations
Cites
Multiple emitter location and signal parameter estimation
Schmidt, R. (1986) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.1986.1143830 · Cited by 14,718
Random Data-Analysis and Measurement Procedures
Bendat, J. S., Piersol, A. G., & Saunders, H. (1989) · Journal of vibration and acoustics · doi:10.1115/1.3269865 · Cited by 6,401
Random data: Analysis and measurement procedures
Braun, S. (1987) · Mechanical Systems and Signal Processing · doi:10.1016/0888-3270(87)90088-4 · Cited by 2,371
Presurgical evaluation of epilepsy.
Rosenow, F., & Lüders, H. (2001) · Brain : a journal of neurology · doi:10.1093/brain/124.9.1683 · Cited by 1,684
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
Methods of Analysis of Brain Electrical and Magnetic Signals
Gevins, A. S., & Rémond, A. (1987) · Medical Entomology and Zoology · Cited by 451
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
Menéndez, R. G. D. P., Andino, S. L. G., Lantz, G., Michel, C. M., & Landis, T. (2001) · Brain Topography · doi:10.1023/a:1012944913650 · Cited by 347
Self-citationLocation of Sources of Evoked Scalp Potentials: Corrections for Skull and Scalp Thicknesses
Ary, J. P., Klein, S. A., & Fender, D. H. (1981) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1981.324817 · Cited by 320
A new interpretation of the generators of BAEP waves I-V: results of a spatio-temporal dipole model.
Scherg, M., & von Cramon, D. (1985) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0168-5597(85)90006-1 · Cited by 308
Cited by
Sorted by citations
Michel, C., 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 1,771
Self-citationTopographic ERP Analyses: A Step-by-Step Tutorial Review
Murray, M. M., Brunet, D., & Michel, C. M. (2008) · Brain Topography · doi:10.1007/s10548-008-0054-5 · Cited by 1,127
Self-citationKeil, A., Debener, S., Gratton, G., Junghöfer, M., Kappenman, E. S., Luck, S. J., Luu, P., Miller, G. A., & Yee, C. M. (2013) · Psychophysiology · doi:10.1111/psyp.12147 · Cited by 702
Koessler, L., Maillard, L. G., Benhadid, A., Vignal, J., Felblinger, J., Vespignani, H., & Braun, M. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.006 · Cited by 586
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
Self-citation
Metadata
- Authors
- Lantz, G., Grave de Peralta, R., Spinelli, L., Seeck, M., & Michel, C. M.
- Affiliations
- University of Geneva (CH)
- University Hospital of Geneva (CH)
- Corresponding author
- Lantz, G
- ORCID
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2003-01
- Volume
- 114
- Issue
- 1
- Pages
- 63-69
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2153208799
- Cited by
- 413
- References
- 30
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 17 · 2023: 25 · 2022: 24 · 2021: 20 · 2020: 27 · 2019: 30 · 2018: 21 · 2017: 27 · 2016: 21 · 2015: 25 · 2014: 26 · 2013: 15 · 2012: 17
- FWCI
- 3.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Clinical Neurology › Epilepsy research and treatment
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Keywords
- high-density EEG, electrode number, interictal epileptiform activity, preoperative assessment, distributed source model, inverse solution, epileptogenic lesions, positioning accuracy, multichannel EEG
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Child, Electrodes, Electroencephalography, Epilepsy, Female, Humans, Male, Middle Aged
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
