The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Language-Related ERPs: Scalp Distributions and Modulation by Word Type and Semantic Priming
Abstract
Event-related potentials (ERPs) were recorded from the scalp to investigate the processing of word stimuli. Three tasks were used: (1) a task comparing words that provided an anomalous or normal sentence ending, (2) a word-list task in which different word types were examined, and (3) a word-list task in which semantic priming was examined. ERPs were recorded from a 50-channel montage in an attempt to dissociate overlapping ERP features by their scalp distributions. The focus of these studies was the N400, an ERP previously associated with language processing (Kutas & Hillyard, 1980). The temporal interval typically associated with N400 (250–500 msec) was found to contain overlapping ERP features. Two of these features were common to both sentence and word-list tasks—but one appeared different. Anomalous sentence endings and words with semantic content in lists both showed coincident negative left frontotemporal and midline-anterior ERP foci, peaking at 332 msec for sentences and 316 msec for word lists. The most negative voltage obtained in the sentence task peaked at 386 msec and had a midline-posterior focus. A right frontotemporal focus developed after the midline-posterior focus and outlasted its duration. The most negative voltage for content words in lists was reached at 364 msec. The distribution of this ERP was extensive over the midline and appeared to differ from that observed in the sentence task. Modulation of language-related ERPs by word type and semantic priming was investigated using the word-list tasks, which required category-detection responses. Two novel findings were obtained: (1) The ERP distributions for words serving grammatical function and content words differed substantially in word lists. Even when devoid of any sentence context, function words presented significantly attenuated measures of N400 compared to content words. These findings support hypotheses that suggest a differential processing of content and function words. (2) Semantic priming functionally dissociated two ERP features in the 250–500 msec range. The later and most negative midline ERP feature (peaking at 364 msec) was attenuated by semantic priming. However, the earlier left frontotemporal feature (peaking at 316 msec) was enhanced by semantic priming. The isolation of this novel language-related ERF' that is sensitive to semantic manipulations has important consequences for temporal and mechanistic aspects of theories of language processing.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Large-scale neurocognitive networks and distributed processing for attention, language, and memory
Mesulam, M. (1990) · Annals of Neurology · doi:10.1002/ana.410280502 · Cited by 2,684
The anatomic basis of pure alexia
Damasio, A. R., & Damasio, H. (1983) · Neurology · doi:10.1212/wnl.33.12.1573 · Cited by 492
Cited by
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Pulvermüller, F. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9900182x · Cited by 1,284
Puce, A., Allison, T., Asgari, M., Gore, J. C., & McCarthy, G. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-16-05205.1996 · Cited by 987
“Intracranial recordings also have revealed a left dominant asymmetry (our unpublished observations), and evoked potential studies have shown that a letterstring N180 is larger over the left than the right temporal scalp (Nobre and McCarthy, 1994), complementary to the distribution obtained by Bentin et al.”
BackgroundResultBentin, S., Mouchetant-Rostaing, Y., Giard, M. H., Echallier, J. F., & Pernier, J. (1999) · Journal of Cognitive Neuroscience · doi:10.1162/089892999563373 · Cited by 725
Vigliocco, G., Vinson, D. P., Druks, J., Barber, H., & Cappa, S. F. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.04.007 · Cited by 594
Metadata
- Authors
- Nobre, A. C., & McCarthy, G.
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 1994
- Volume
- 6
- Issue
- 3
- Pages
- 233-255
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2110617696
- Cited by
- 318
- References
- 2
- FWCI
- 8.86
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Language-Related ERPs: Scalp Distributions and Modulation by Word Type and Semantic Priming. https://app.cochat.ai/papers/10.1162/jocn.1994.6.3.233
- The paper
- Nobre, A. C., & McCarthy, G. (1994). Language-Related ERPs: Scalp Distributions and Modulation by Word Type and Semantic Priming. Journal of Cognitive Neuroscience. https://doi.org/10.1162/jocn.1994.6.3.233
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.