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Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP).
Open accessAbstract
We review the discovery, characterization, and evolving use of the N400, an event-related brain potential response linked to meaning processing. We describe the elicitation of N400s by an impressive range of stimulus types—including written, spoken, and signed words or pseudowords; drawings, photos, and videos of faces, objects, and actions; sounds; and mathematical symbols—and outline the sensitivity of N400 amplitude (as its latency is remarkably constant) to linguistic and nonlinguistic manipulations. We emphasize the effectiveness of the N400 as a dependent variable for examining almost every aspect of language processing and highlight its expanding use to probe semantic memory and to determine how the neurocognitive system dynamically and flexibly uses bottom-up and top-down information to make sense of the world. We conclude with different theories of the N400's functional significance and offer an N400-inspired reconceptualization of how meaning processing might unfold.
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“N400 is related to semantic processing that is elicited by various kinds of stimuli, such as words, speech, and pictures (for a review, see Kutas and Federmeier, 2011).”
From Advantage of Handwriting Over Typing on Learning Words: Evidence From an N400 Event-Related Potential Index (2021) · cites this paper as Kutas and Federmeier, 2011
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“We draw on evidence from an electrophysiological measure that has been shown to be extremely useful for studying the timeline of semantic processing: the N400 (already mentioned in Section 2; for reviews see Hagoort & van Berkum, 2007;Kutas and Federmeier, 2011;van Berkum et al., 2005).”
From Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension (2018) · cites this paper as Kutas and Federmeier, 2011
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Citations
Cites
Reading Senseless Sentences: Brain Potentials Reflect Semantic Incongruity
Marta Kutas, A., & Hillyard, S. A. (1980) · Science · doi:10.1126/science.7350657 · Cited by 5,029
Electrophysiology reveals semantic memory use in language comprehension.
Kutas, M., & Federmeier, K. D. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01560-6 · Cited by 2,124
Self-citationA cortical network for semantics: (de)constructing the N400
Lau, E. F., Phillips, C., & Poeppel, D. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2532 · Cited by 1,779
Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time
Kutas, M., McCarthy, G., & Donchin, E. (1977) · Science · doi:10.1126/science.887923 · Cited by 1,714
The Handbook of Psycholinguistics
(2017) · Wiley eBooks · doi:10.1002/9781118829516 · Cited by 1,615
Integration of word meaning and world knowledge in language comprehension
Hagoort, P., Hald, L., Bastiaansen, M., & Petersson, K. M. (2004) · Science · doi:10.1126/science.1095455 · Cited by 1,396
Event-related potentials and recognition memory
Rugg, M. D., & Curran, T. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.004 · Cited by 1,283
DeLong, K. A., Urbach, T. P., & Marta Kutas, A. (2005) · Nature Neuroscience · doi:10.1038/nn1504 · Cited by 1,236
Event-related potential studies of attention.
Luck, S., Woodman, G., & Vogel, E. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01545-x · Cited by 1,209
The E-Z Reader model of eye-movement control in reading: Comparisons to other models
Reichle, E. D., Rayner, K., & Pollatsek, A. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000104 · Cited by 1,130
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Voss, J. L., Federmeier, K. D., & Paller, K. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr315 · Cited by 71
Self-citationAnderson, A. J., Kiela, D., Binder, J. R., Fernandino, L., Humphries, C. J., Conant, L. L., Raizada, R. D. S., Grimm, S., & Lalor, E. C. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1152-20.2021 · Cited by 70
Distinguish between focus and newness: An ERP study
Chen, L., Wang, L., & Yang, Y. (2014) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2014.06.002 · Cited by 70
van der Auwera, J., & Krasnoukhova, O. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198830528.013.3 · Cited by 71
Higby, E., Kim, J., & Obler, L. K. (2013) · Annual Review of Applied Linguistics · doi:10.1017/s0267190513000081 · Cited by 76
Online processing of moral transgressions: ERP evidence for spontaneous evaluation
Leuthold, H., Kunkel, A., Mackenzie, I. G., & Filik, R. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu151 · Cited by 72
Schendan, H. E., & Ganis, G. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00329 · Cited by 73
Pragmatic skills predict online counterfactual comprehension: Evidence from the N400
Kulakova, E., & Nieuwland, M. S. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0433-4 · Cited by 77
Michaelov, J. A., Seana Coulson, A., & Bergen, B. K. (2022) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2022.3176783 · Cited by 77
Szewczyk, J., & Federmeier, K. D. (2021) · Journal of Memory and Language · doi:10.1016/j.jml.2021.104311 · Cited by 83
Self-citationMultiple functions of the angular gyrus at high temporal resolution
Seghier, M. L. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02512-y · Cited by 73
Delaney-Busch, N., & Kuperberg, G. R. (2013) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-013-0159-5 · Cited by 71
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What does EEG tell us about arithmetic strategies? A review
Hinault, T., & Lemaire, P. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.05.006 · Cited by 75
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Cohn, N., & Marta Kutas, A. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.08.026 · Cited by 69
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Strijkers, K., Bertrand, D., & Grainger, J. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00797 · Cited by 71
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Sassenhagen, J., & Bornkessel‐Schlesewsky, I. (2015) · Cortex · doi:10.1016/j.cortex.2014.12.019 · Cited by 68
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Rabovsky, M., Sommer, W., & Rahman, R. A. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00011 · Cited by 68
Dídac Vidal-piñeiro, A., Martín-Trias, P., Arenaza‐Urquijo, E. M., Sala‐Llonch, R., Clemente, I. C., Mena-Sánchez, I., Bargalló, N., Falcón, C., Pascual‐Leone, Á., & Bartrés‐Faz, D. (2014) · Brain stimulation · doi:10.1016/j.brs.2013.12.016 · Cited by 70
A Direct Comparison of N400 Effects of Predictability and Incongruity in Adjective-Noun Combination
Lau, E. F., Namyst, A. M., Fogel, A. R., & Delgado, T. (2016) · Collabra · doi:10.1525/collabra.40 · Cited by 68
Neural evidence for Bayesian trial-by-trial adaptation on the N400 during semantic priming
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Yanılmaz, A., & Drury, J. E. (2017) · Language Cognition and Neuroscience · doi:10.1080/23273798.2017.1371779 · Cited by 67
Zivony, A., & Lamy, D. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-01973-2 · Cited by 72
Retrieval (N400) and integration (P600) in expectation-based comprehension
Aurnhammer, C., Delogu, F., Schulz, M., Brouwer, H., & Crocker, M. W. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257430 · Cited by 67
Ortells, J. J., Kiefer, M., Castillo, A., Megías, M., & Morillas, A. (2015) · Cognition · doi:10.1016/j.cognition.2015.09.012 · Cited by 67
On the road to somewhere: Brain potentials reflect language effects on motion event perception
Flecken, M., Athanasopoulos, P., Kuipers, J.-R., & Thierry, G. (2015) · Cognition · doi:10.1016/j.cognition.2015.04.006 · Cited by 67
Payne, B. R., & Federmeier, K. D. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01090 · Cited by 69
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Hung, Y.-C., & Schumacher, P. B. (2014) · Brain Research · doi:10.1016/j.brainres.2014.01.046 · Cited by 66
Concealed semantic and episodic autobiographical memory electrified
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Metalinguistically Negated Versus Descriptively Negated Adverbials: ERP and Other Evidence
Lee, C. (2015) · Language, cognition and mind · doi:10.1007/978-3-319-17464-8_10 · Cited by 66
Wang, L., Kuperberg, G. R., & Jensen, O. B. (2018) · eLife · doi:10.7554/elife.39061 · Cited by 66
Making ERP research more transparent: Guidelines for preregistration
Paul, M., Govaart, G., & Schettino, A. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.02.016 · Cited by 67
Kovalenko, L. Y., Chaumon, M., & Busch, N. A. (2012) · Brain Topography · doi:10.1007/s10548-011-0216-8 · Cited by 66
Boudewyn, M. A., Long, D. L., & Swaab, T. Y. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0340-0 · Cited by 73
Mellem, M. S., Friedman, R. B., & Medvedev, A. V. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.09.003 · Cited by 66
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Nuclear Stress and Information Structure
Zubizarreta, M. L. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199642670.013.008 · Cited by 68
Kasparian, K., & Steinhauer, K. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.10.007 · Cited by 65
Narrative Review: Quantitative EEG in Disorders of Consciousness
Wutzl, B., Golaszewski, S. M., Leibnitz, K., Langthaler, P. B., Kunz, A. B., Leis, S., Schwenker, K., Thomschewski, A. C., Bergmann, J., & Trinka, E. (2021) · Brain Sciences · doi:10.3390/brainsci11060697 · Cited by 65
Zhang, Y., Frassinelli, D., Tuomainen, J., Skipper, J. I., & Vigliocco, G. (2021) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.0500 · Cited by 65
Willits, J. A., Wojcik, E. H., Seidenberg, M. S., & Saffran, J. R. (2013) · Infancy · doi:10.1111/infa.12026 · Cited by 65
Molinaro, N., Barraza, P., & Carreiras, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.031 · Cited by 65
Separating the FN400 and N400 potentials across recognition memory experiments
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Himmelstoß, N. A., Schuster, S., Hutzler, F., Moran, R., & Hawelka, S. (2019) · Language Cognition and Neuroscience · doi:10.1080/23273798.2019.1616102 · Cited by 64
The Neural Time Course of Semantic Ambiguity Resolution in Speech Comprehension
MacGregor, L. J., Rodd, J. M., Gilbert, R. A., Hauk, O., Sohoglu, E., & Davis, M. H. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01493 · Cited by 68
The Neurocognition of Translation and Interpreting
García, A. M. (2019) · Benjamins translation library · doi:10.1075/btl.147 · Cited by 68
The Electrophysiological Underpinnings of Processing Gender Stereotypes in Language
Siyanova‐Chanturia, A., Pesciarelli, F., & Cacciari, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048712 · Cited by 70
Developmental differences in beta and theta power during sentence processing
Schneider, J. M., Abel, A. D., Ogiela, D. A., Middleton, A. E., & Maguire, M. J. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.01.001 · Cited by 64
To electrify bilingualism: Electrophysiological insights into bilingual metaphor comprehension
Jankowiak, K., Rataj, K., & Naskręcki, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175578 · Cited by 64
Payne, B. R., & Federmeier, K. D. (2018) · Brain Research · doi:10.1016/j.brainres.2018.02.021 · Cited by 64
Self-citationGrisoni, L., Tomasello, R., & Friedemann Pulvermüller, A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa308 · Cited by 73
Shin, J., Rowley, J., Chowdhury, R. A., Jolicœur, P., Klein, D., Grova, C., Rosa‐Neto, P., & Kobayashi, E. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00875 · Cited by 63
Kriukova, O., Bridger, E. K., & Mecklinger, A. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.07.006 · Cited by 63
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Bendixen, A., Scharinger, M., Strauß, A., & Obleser, J. (2014) · Cortex · doi:10.1016/j.cortex.2014.01.001 · Cited by 68
Getting ahead of yourself: Parafoveal word expectancy modulates the N400 during sentence reading
Stites, M. C., Payne, B. R., & Federmeier, K. D. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0492-6 · Cited by 63
Self-citationvan Duinen, M. A., Sambeth, A., Heckman, P. R. A., de Smit, S., Tsai, M., Lahu, G., Uz, T., Blokland, A., & Prickaerts, J. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.12.019 · Cited by 63
Draschkow, D., Heikel, E., Võ, M. L. ‐., Fiebach, C. J., & Sassenhagen, J. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.09.016 · Cited by 63
Alday, P. M., Schlesewsky, M., & Bornkessel‐Schlesewsky, I. (2017) · eNeuro · doi:10.1523/eneuro.0311-16.2017 · Cited by 63
Yang, H., Laforge, G., Stojanoski, B. B., Nichols, E. S., McRae, K., & Köhler, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-45880-y · Cited by 63
DeLong, K. A., & Marta Kutas, A. (2020) · Language Cognition and Neuroscience · doi:10.1080/23273798.2019.1708960 · Cited by 63
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Piciucco, E., Masia, V., Maiorana, E., Vallauri, E. L., & Campisi, P. (2022) · Language and Cognition · doi:10.1017/langcog.2021.23 · Cited by 62
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Getzmann, S., Jasny, J., & Falkenstein, M. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.09.006 · Cited by 60
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Diéguez-Risco, T., Aguado, L., Albert, J., & Hinojosa, J. A. (2013) · Social Neuroscience · doi:10.1080/17470919.2013.834842 · Cited by 60
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Canal, P., Garnham, A., & Oakhill, J. V. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01953 · Cited by 60
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Metadata
- Authors
- Kutas, M., & Federmeier, K. D.
- Affiliations
- Departments of Cognitive Science and Neurosciences, Center for Research in Language, Kavli Institute for Brain and Mind, University of California, San Diego, California 92093;
- University of Illinois Urbana-Champaign (US)
- ORCID
- Federmeier, Kara D.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2011-01-10
- Volume
- 62
- Issue
- 1
- Pages
- 621-647
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- PMC
- PMC4052444
- OpenAlex
- W2141138276
- Cited by
- 4,377
- References
- 106
- Citations by year
- 2026: 317 · 2025: 354 · 2024: 323 · 2023: 302 · 2022: 312 · 2021: 358 · 2020: 434 · 2019: 346 · 2018: 276 · 2017: 274 · 2016: 237 · 2015: 266 · 2014: 220 · 2013: 166 · 2012: 136
- FWCI
- 8.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG008313, AG26308, R01AG026308, AG83013)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD022614, R01HD022614)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Keywords
- N400, event-related potentials, semantic processing, semantic memory, language processing, meaning processing, top-down processing, bottom-up processing, word recognition, pseudowords, mathematical symbols
- MeSH terms
- Brain, Brain Mapping, Electroencephalography, Evoked Potentials, Humans, Language, Memory
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 ›
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