Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 705

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Processing Syntactic Relations in Language and Music: An Event-Related Potential Study

Patel, Aniruddh D., Gibson, Edward, Ratner, Jennifer, Besson, Mireille, Holcomb, Phillip J.·1998·Journal of Cognitive Neuroscience

Abstract

In order to test the language-specificity of a known neural correlate of syntactic processing [the P600 event-related brain potential (ERP) component], this study directly compared ERPs elicited by syntactic incongruities in language and music. Using principles of phrase structure for language and principles of harmony and key-relatedness for music, sequences were constructed in which an element was either congruous, moderately incongruous, or highly incongruous with the preceding structural context. A within-subjects design using 15 musically educated adults revealed that linguistic and musical structural incongruities elicited positivities that were statistically indistinguishable in a specified latency range. In contrast, a music-specific ERP component was observed that showed antero-temporal right-hemisphere lateralization. The results argue against the language-specificity of the P600 and suggest that language and music can be studied in parallel to address questions of neural specificity in cognitive 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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1162/089892998563121

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 705

Metadata

Authors
Patel, A. D., Gibson, E., Ratner, J., Besson, M., & Holcomb, P. J.
Venue
Journal of Cognitive Neuroscience
Publisher
MIT Press
Published
1998-11-01
Volume
10
Issue
6
Pages
717-733
ISSN
  • 0898-929X (ISSN-L)
  • 1530-8898
OpenAlex
W2154054118
Cited by
705
References
3
FWCI
6.96
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: Processing Syntactic Relations in Language and Music: An Event-Related Potential Study. https://app.cochat.ai/papers/10.1162/089892998563121
The paper
Patel, A. D., Gibson, E., Ratner, J., Besson, M., & Holcomb, P. J. (1998). Processing Syntactic Relations in Language and Music: An Event-Related Potential Study. Journal of Cognitive Neuroscience. https://doi.org/10.1162/089892998563121

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.