The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Identification of a pathway for intelligible speech in the left temporal lobe
Open accessAbstract
It has been proposed that the identification of sounds, including species-specific vocalizations, by primates depends on anterior projections from the primary auditory cortex, an auditory pathway analogous to the ventral route proposed for the visual identification of objects. We have identified a similar route in the human for understanding intelligible speech. Using PET imaging to identify separable neural subsystems within the human auditory cortex, we used a variety of speech and speech-like stimuli with equivalent acoustic complexity but varying intelligibility. We have demonstrated that the left superior temporal sulcus responds to the presence of phonetic information, but its anterior part only responds if the stimulus is also intelligible. This novel observation demonstrates a left anterior temporal pathway for speech comprehension.
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Cites
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Cited by
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Where do you know what you know? The representation of semantic knowledge in the human brain
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Hickok, G., & Poeppel, D. (2004) · Cognition · doi:10.1016/j.cognition.2003.10.011 · Cited by 2,212
The brain basis of language processing: from structure to function.
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Metadata
- Authors
- Scott, S. K.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-12-01
- Volume
- 123
- Issue
- 12
- Pages
- 2400-2406
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2124590545
- Cited by
- 1,160
- References
- 38
- FWCI
- 16.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
