The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Right-Hemisphere Auditory Cortex Is Dominant for Coding Syllable Patterns in Speech
Open accessAbstract
Cortical analysis of speech has long been considered the domain of left-hemisphere auditory areas. A recent hypothesis poses that cortical processing of acoustic signals, including speech, is mediated bilaterally based on the component rates inherent to the speech signal. In support of this hypothesis, previous studies have shown that slow temporal features (3–5 Hz) in nonspeech acoustic signals lateralize to right-hemisphere auditory areas, whereas rapid temporal features (20–50 Hz) lateralize to the left hemisphere. These results were obtained using nonspeech stimuli, and it is not known whether right-hemisphere auditory cortex is dominant for coding the slow temporal features in speech known as the speech envelope. Here we show strong right-hemisphere dominance for coding the speech envelope, which represents syllable patterns and is critical for normal speech perception. Right-hemisphere auditory cortex was 100% more accurate in following contours of the speech envelope and had a 33% larger response magnitude while following the envelope compared with the left hemisphere. Asymmetries were evident regardless of the ear of stimulation despite dominance of contralateral connections in ascending auditory pathways. Results provide evidence that the right hemisphere plays a specific and important role in speech processing and support the hypothesis that acoustic processing of speech involves the decomposition of the signal into constituent temporal features by rate-specialized neurons in right- and left-hemisphere auditory cortex.
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
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Cited by
Why would Musical Training Benefit the Neural Encoding of Speech? The OPERA Hypothesis
Patel, A. D. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00142 · Cited by 703
Speech rhythms and multiplexed oscillatory sensory coding in the human brain
Gross, J., Hoogenboom, N., Thut, G., Schyns, P., Panzeri, S., Belin, P., & Garrod, S. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001752 · Cited by 643
A hierarchy of linguistic predictions during natural language comprehension
Heilbron, M., Armeni, K., Schoffelen, J.-M., Hagoort, P., & de Lange, F. P. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201968119 · Cited by 343
Meyer, L. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13748 · Cited by 328
Does Music Training Enhance Literacy Skills? A Meta-Analysis
Gordon, R. L., Fehd, H. M., & McCandliss, B. D. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01777 · Cited by 256
Metadata
- Authors
- Abrams, D. A., Nicol, T., Zecker, S., & Kraus, N.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2008-04-09
- Volume
- 28
- Issue
- 15
- Pages
- 3958-3965
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1987435081
- Cited by
- 282
- References
- 1
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Right-Hemisphere Auditory Cortex Is Dominant for Coding Syllable Patterns in Speech. https://app.cochat.ai/papers/10.1523/jneurosci.0187-08.2008
- The paper
- Abrams, D. A., Nicol, T., Zecker, S., & Kraus, N. (2008). Right-Hemisphere Auditory Cortex Is Dominant for Coding Syllable Patterns in Speech. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0187-08.2008
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.