Topographic ERP Analyses: A Step-by-Step Tutorial Review
Open accessAbstract
In this tutorial review, we detail both the rationale for as well as the implementation of a set of analyses of surface-recorded event-related potentials (ERPs) that uses the reference-free spatial (i.e. topographic) information available from high-density electrode montages to render statistical information concerning modulations in response strength, latency, and topography both between and within experimental conditions. In these and other ways these topographic analysis methods allow the experimenter to glean additional information and neurophysiologic interpretability beyond what is available from canonical waveform analyses. In this tutorial we present the example of somatosensory evoked potentials (SEPs) in response to stimulation of each hand to illustrate these points. For each step of these analyses, we provide the reader with both a conceptual and mathematical description of how the analysis is carried out, what it yields, and how to interpret its statistical outcome. We show that these topographic analysis methods are intuitive and easy-to-use approaches that can remove much of the guesswork often confronting ERP researchers and also assist in identifying the information contained within high-density ERP datasets.
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?
Overall global field power (GFP) was calculated to specify and/or validate a predefined timeframe of interest via assessing overall peak latency of the components of interest.
“First, we calculated overall global field power (GFP)65–67 to specify and/or validate a predefined timeframe of interest via assessing overall peak latency of the components of interest.”
From Event-related potentials of automatic imitation are modulated by ethnicity during stimulus processing, but not during motor execution (2018) · cites this paper as [67]
The “Global Field Power” section describes GFP as a waveform over time that can be assessed using peak measures, supporting its use to examine peak latency. It does not explicitly say that GFP peaks specify or validate a predefined timeframe of interest. Page numbers are unavailable in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured
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
(2005) · Cited by 5,977 · see citing works
Statistical Parametric Mapping: The Analysis of Functional Brain Images
Penny, W. D., Friston, K. J., Ashburner, J., Kiebel, S. J., & Thomas, N. (2007) · UCL Discovery (University College London) · Cited by 3,339 · 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
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
McCarthy, G., & Wood, C. C. (1985) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(85)90015-2 · Cited by 1,765 · 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
Self-citationRandomization and Monte Carlo Methods in Biology.
Foutz, R. V., & Manly, B. F. J. (1992) · Journal of the American Statistical Association · doi:10.2307/2290299 · Cited by 1,627 · see citing works
Reference-free identification of components of checkerboard-evoked multichannel potential fields
Lehmann, D., & Skrandies, W. (1980) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(80)90419-8 · Cited by 1,556 · see citing works
Randomization and Monte Carlo Methods in Biology
Manly, B. F. J. (1991) · Springer eBooks · doi:10.1007/978-1-4899-2995-2 · Cited by 1,251 · see citing works
Segmentation of brain electrical activity into microstates: model estimation and validation
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.391164 · Cited by 991 · see citing works
Self-citationMillisecond by Millisecond, Year by Year: Normative EEG Microstates and Developmental Stages
Koenig, T. W., Prichep, L. S., Lehmann, D., Valdes-Sosa, P. A., Bräker, E., Kleinlogel, H., Isenhart, R., & John, E. R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1070 · Cited by 797 · see citing works
Event-Related Potentials: A Methods Handbook
Loiselle, D. L. (2006) · Neurology · doi:10.1212/01.wnl.0000217365.45426.9a · Cited by 772 · see citing works
Event-related potentials : a methods handbook
Handy, T. C. (2005) · Medical Entomology and Zoology · Cited by 753 · see citing works
Significance Testing of Difference Potentials
Guthrie, D., & Buchwald, J. S. (1991) · Psychophysiology · doi:10.1111/j.1469-8986.1991.tb00417.x · Cited by 751 · see citing works
Endogeneous brain potentials associated with selective auditory attention
Hansen, J. C., & Hillyard, S. A. (1980) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(80)90222-9 · Cited by 669 · see citing works
Cluster Validation by Prediction Strength
Tibshirani, R. J., & Walther, G. (2005) · Journal of Computational and Graphical Statistics · doi:10.1198/106186005x59243 · Cited by 662 · see citing works
Mapping of scalp potentials by surface spline interpolation
Perrin, F., Pernier, J., Bertnard, O., Giard, M., & Echallier, J. F. (1987) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(87)90141-6 · Cited by 623 · see citing works
Principles of spatial analysis
Lehmann, D. (1987) · Medical Entomology and Zoology · Cited by 494 · see citing works
Issues in the application of the average reference: Review, critiques, and recommendations
Dien, J. (1998) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03209414 · Cited by 430 · 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
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
Self-citationProcessing speed in the cerebral cortex and the neurophysiology of visual masking
Rolls, E. T., & Tovée, M. J. (1994) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1994.0087 · Cited by 398 · see citing works
Global field power and topographic similarity
Skrandies, W. (1990) · Brain Topography · doi:10.1007/bf01128870 · Cited by 376 · see citing works
Electrical neuroimaging based on biophysical constraints
Menéndez, R. G. D. P., Murray, M. M., Michel, C. M., Martuzzi, R., & Andino, S. L. G. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.051 · Cited by 364 · see citing works
Self-citationSpatial 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
Rapid discrimination of visual and multisensory memories revealed by electrical neuroimaging
Murray, M. M., Michel, C. M., de Peralta, R. G., Ortigue, S., Brunet, D., Andino, S. L. G., & Schnider, A. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.035 · Cited by 244 · see citing works
Self-citationElectric source imaging of human brain functions
Michel, C. M., Thut, G., Morand, S. M., Khateb, A., Pegna, A. J., de Peralta, R. G., Gonzalez, S., Seeck, M., & Landis, T. (2001) · Brain Research Reviews · doi:10.1016/s0165-0173(01)00086-8 · Cited by 244 · see citing works
Self-citationHuman event-related potentials
Picton, T. (1988) · Elsevier eBooks · Cited by 215 · see citing works
Event-related potentials of the brain and cognitive processes: Approaches and applications
Brandeis, D., & Lehmann, D. (1986) · Neuropsychologia · doi:10.1016/0028-3932(86)90049-7 · Cited by 208 · see citing works
Pourtois, G., Thut, G., de Peralta, R. G., Michel, C. M., & Vuilleumier, P. O. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.015 · Cited by 168 · see citing works
Self-citationMicrostates in Language-Related Brain Potential Maps Show Noun–Verb Differences
Koenig, T. W., & Lehmann, D. (1996) · Brain and Language · doi:10.1006/brln.1996.0043 · Cited by 166 · see citing works
Human Neuroelectric Patterns Predict Performance Accuracy
Gevins, A. S., Morgan, N. H., Bressler, S. L., Cutillo, B. A., White, R., Illes, J., Greer, D. S., Doyle, J. C., & Zeitlin, G. M. (1987) · Science · doi:10.1126/science.3810158 · Cited by 164 · see citing works
Murray, M. M., Foxe, J. J., Higgins, B. A., Javitt, D. C., & Schroeder, C. E. (2001) · Neuropsychologia · doi:10.1016/s0028-3932(01)00004-5 · Cited by 158 · see citing works
Self-citationTHE NEURAL ORIGINS OF HUMAN EVENT‐RELATED POTENTIALS*
Vaughan, H. G. (1982) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1982.tb50788.x · Cited by 150 · see citing works
Pourtois, G., Delplanque, S., Michel, C. M., & Vuilleumier, P. O. (2008) · Brain Topography · doi:10.1007/s10548-008-0053-6 · Cited by 138 · see citing works
Self-citationSpatiotemporal Dynamics of Human Cognition
Michel, C. M., Seeck, M., & Landis, T. (1999) · Physiology · doi:10.1152/physiologyonline.1999.14.5.206 · Cited by 128 · see citing works
Self-citationMapping event-related brain potential microstates to sentence endings
Brandeis, D., Lehmann, D., Michel, C. M., & Mingrone, W. B. (1995) · Brain Topography · doi:10.1007/bf01199778 · Cited by 124 · see citing works
Self-citationBoundary Completion Is Automatic and Dissociable from Shape Discrimination
Murray, M. M., Imber, M. L., Javitt, D. C., & Foxe, J. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3225-06.2006 · Cited by 118 · see citing works
Self-citationClasses of Multichannel EEG Microstates in Light and Deep Hypnotic Conditions
Katayama, H., Gianotti, L. R. R., Isotani, T., Faber, P. L., Sasada, K., Kinoshita, T., & Lehmann, D. (2007) · Brain Topography · doi:10.1007/s10548-007-0024-3 · Cited by 112 · see citing works
Santis, L. M. D., Clarke, S., & Murray, M. M. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj119 · Cited by 99 · see citing works
Self-citationWikswo, J. P., Gevins, A. S., & Williamson, S. J. (1993) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(93)90169-v · Cited by 96 · see citing works
Geselowitz, D. B. (1998) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.646230 · Cited by 96 · see citing works
Duffy, F. H. (1982) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1982.tb50791.x · Cited by 92 · see citing works
Karniski, W. M., Blair, R. C., & Snider, A. D. (1994) · Brain Topography · doi:10.1007/bf01187710 · Cited by 89 · see citing works
Magnetoencephalography in presurgical epilepsy evaluation
Pataraia, E., Baumgartner, C., Lindinger, G., & Deecke, L. (2002) · Neurosurgical Review · doi:10.1007/s10143-001-0197-2 · Cited by 80 · see citing works
Distinct Neurophysiological Mechanisms Mediate Mixing Costs and Switch Costs
Wylie, G. R., Murray, M. M., Javitt, D. C., & Foxe, J. J. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21009 · Cited by 70 · see citing works
Self-citationLearning-Induced Plasticity in Auditory Spatial Representations Revealed by Electrical Neuroimaging
Spierer, L., Tardif, É., Sperdin, H. F., Murray, M. M., & Clarke, S. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0764-07.2007 · Cited by 65 · see citing works
Self-citationTo scale or not to scale: McCarthy and Wood revisited
Haig, A. R., Gordon, E., & Hook, S. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00009-6 · Cited by 59 · see citing works
Arzy, S., Möhr, C., Michel, C. M., & Blanke, O. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.027 · Cited by 58 · see citing works
Self-citationPeripherally Presented Emotional Scenes: A Spatiotemporal Analysis of Early ERP Responses
Rigoulot, S., Delplanque, S., Despretz, P., Defoort‐Dhellemmes, S., Honoré, J., & Sequeira, H. (2008) · Brain Topography · doi:10.1007/s10548-008-0050-9 · Cited by 58 · see citing works
High-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
Very high frequency oscillations (VHFO) as a predictor of movement intentions
Gonzalez, S., de Peralta, R. G., Thut, G., Millán, J. D. R., Morier, P., & Landis, T. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.041 · Cited by 55 · see citing works
Ruchkin, D. S., Johnson, R., & Friedman, D. S. (1999) · Psychophysiology · doi:10.1111/1469-8986.3660832 · Cited by 55 · see citing works
Martuzzi, R., Murray, M. M., Meuli, R. A., Thiran, J., Maeder, P. P., Michel, C. M., Menéndez, R. G. D. P., & Andino, S. L. G. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90335.2008 · Cited by 55 · see citing works
Self-citationAdvantages and limitations of magnetic source imaging
Williamson, S., Lu, Z.-L., Karron, D., & Kaufman, L. (2005) · Brain Topography · doi:10.1007/bf01132773 · Cited by 54 · see citing works
How single-trial electrical neuroimaging contributes to multisensory research
Andino, S. L. G., Murray, M. M., Foxe, J. J., & Menéndez, R. G. D. P. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-2371-1 · Cited by 49 · see citing works
Self-citationPlasticity in representations of environmental sounds revealed by electrical neuroimaging
Murray, M. M., Camen, C., Spierer, L., & Clarke, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.002 · Cited by 49 · see citing works
Self-citationMichel, C. M., Henggeler, B., & Lehmann, D. (1992) · International Journal of Psychophysiology · doi:10.1016/0167-8760(92)90004-u · Cited by 45 · see citing works
Self-citationCerebral processes in mental transformations of body parts: Recognition prior to rotation
Overney, L. S., Michel, C. M., Harris, I. M., & Pegna, A. J. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.09.024 · Cited by 45 · see citing works
Self-citationVisual activation of frontal cortex: segregation from occipital activity
Saron, C. D., Schroeder, C. E., Foxe, J. J., & Vaughan, H. G. (2001) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00036-2 · Cited by 44 · see citing works
A bootstrap method to compare the shapes of two scalp fields
Srebro, R. (1996) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(95)00205-7 · Cited by 41 · see citing works
Event-related potential map differences depend on the prestimulus microstates
Kondákor, I., Pascual-Marqui, R. D., Michel, C. M., et al. (1995) · Journal of Medical Engineering & Technology · doi:10.3109/03091909509030277 · Cited by 41 · see citing works
Self-citationSantis, L. M. D., Spierer, L., Clarke, S., & Murray, M. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.052 · Cited by 36 · see citing works
Self-citationSkrandies, W. (2007) · Brain Topography · doi:10.1007/s10548-007-0026-1 · Cited by 34 · see citing works
Sensory mapping in a congenitally deaf subject: MEG and fRMI studies of cross-modal non-plasticity
Hickok, G. S., Poeppel, D., Clark, K., Buxton, R. B., Rowley, H. A., & Roberts, T. P. L. (1997) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1997)5:6 · Cited by 32 · see citing works
Skrandies, W. (1993) · Brain Topography · doi:10.1007/bf01128688 · Cited by 21 · see citing works
Pascual-Marqui, R. D., & Lehmann, D. (1993) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(93)90042-n · Cited by 18 · see citing works
Beware of the Average Reference in Brain Mapping
Desmedt, J. E., Tomberg, C., NOËL, P., et al. (1990) · Elsevier eBooks · doi:10.1016/b978-0-444-81352-7.50007-8 · Cited by 15 · see citing works
Andino, S. L. G., de Peralta, R. G., Khateb, A., Pegna, A. J., Thut, G., & Landis, T. (2006) · Human Brain Mapping · doi:10.1002/hbm.20302 · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- Baillet S, Mosher JC, Leahy RM. Electromagnetic brain map- ping. IEEE Signal Process Mag. 2001;18(16):14-30.
- De Lucia M, Michel CM, Clarke S, Murray MM. Single-subject EEG analysis based on topographic information. Int J Bioelec- tromagnet. 2007;9:168-71.
- Fender DH. Source localisation of brain electrical activity. In: Gevins AS, Remond A, editors. Handbook of electroencepha- lography and clinical neurophysiology, vol. 1: methods of analysis of brain electrical and magnetic signals. Amsterdam: Elsevier; 1987. pp. 355-99.
- Martuzzi R, Murray MM, Meuli RA, Thiran JP, Maeder PP, Michel CM, Menendez RGP, Andino SLG. A new analytical method to investigate frequency-and region-dependant relation- ships between estimated LFPs and BOLD responses in humans; 2008. In review.
- Pegna AJ, Khateb A, Spinelli L, Seeck M, Landis T, Michel CM. Unravelling the cerebral dynamics of mental imagery. Hum Brain Mapp. 1997;5:410-21.
Cited by
Sorted by citations
BOLD correlates of EEG topography reveal rapid resting-state network dynamics
Britz, J., Van De Ville, D., & Michel, C. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.052 · Cited by 1,070 · see citing works
Self-citationEEG microstate sequences in healthy humans at rest reveal scale-free dynamics.
Van De Ville, D., Britz, J., & Michel, C. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007841107 · Cited by 606 · see citing works
Self-citationThe multisensory function of the human primary visual cortex
Murray, M. M., Thelen, A., Thut, G., Romei, V., Martuzzi, R., & Matusz, P. J. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.08.011 · Cited by 219 · see citing works
Self-citationStress Potentiates Early and Attenuates Late Stages of Visual Processing
Shackman, A. J., Maxwell, J. S., McMenamin, B. W., Greischar, L. L., & Davidson, R. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3384-10.2011 · Cited by 191 · see citing works
Looming Signals Reveal Synergistic Principles of Multisensory Integration
Cappe, C., Thelen, A., Romei, V., Thut, G., & Murray, M. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5517-11.2012 · Cited by 107 · see citing works
Self-citationManuel, A. L., Bernasconi, F., & Spierer, L. (2013) · Cortex · doi:10.1016/j.cortex.2012.12.009 · Cited by 78 · see citing works
Mapping the bilateral visual integration by EEG and fMRI
Liu, Z., Zhang, N., Chen, W., & He, B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.028 · Cited by 37 · see citing works
Similar Cerebral Motor Plans for Real and Virtual Actions
Bozzacchi, C., Giusti, M. A., Pitzalis, S., Spinelli, D., & Di Russo, F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047783 · Cited by 32 · see citing works
Food Perception and Categorization
Foroni, F., & Rumiati, R. I. (2017) · Handbook of Categorization in Cognitive Science · doi:10.1016/b978-0-08-101107-2.00012-9 · Cited by 13 · see citing works
Rauchbauer, B., Pfabigan, D. M., & Lamm, C. (2018) · Scientific Reports · doi:10.1038/s41598-018-30926-4 · Cited by 12 · see citing works
Zeng, X., Sun, Y. H., Gao, F., Hua, L., Xu, S., & Yuan, Z. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120726 · Cited by 10 · see citing works
Rauchbauer, B., Lorenz, C., Lamm, C., & Pfabigan, D. M. (2021) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-021-00878-w · Cited by 7 · see citing works
- Authors
- Murray, M. M., Brunet, D., & Michel, C. M.
- Affiliations
- Centre Hospitalier Universitaire Vaudois (CH)
- University of Geneva (CH)
- Corresponding author
- Murray, Micah M.
- Venue
- Brain Topography
- Published
- 2008-03-18
- Volume
- 20
- Issue
- 4
- Pages
- 249-264
- ISSN
- 0896-0267 (ISSN-L)
- 1573-6792
- OpenAlex
- W2098418070
- Cited by
- 1,127
- References
- 70
- Citations by year
- 2026: 60 · 2025: 90 · 2024: 72 · 2023: 80 · 2022: 78 · 2021: 85 · 2020: 80 · 2019: 73 · 2018: 60 · 2017: 61 · 2016: 47 · 2015: 59 · 2014: 56 · 2013: 54 · 2012: 43
- FWCI
- 21.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Brain Topography (publishedVersion)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, other-oa)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
- reroDoc Digital Library (submittedVersion)
- IRIS (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (118419, 111783)
- Fondation Leenaards
- Centre d'Imagerie BioMédicale
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- topographic analysis, event-related potentials, reference-free analysis, high-density electrode arrays, somatosensory evoked potentials, hand stimulation, ERP latency, ERP topography
- MeSH terms
- Brain Mapping, Electrodes, Electroencephalography, Evoked Potentials, Humans, Reaction Time, Reference Values
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