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Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors
Effective natural communication requires listeners to incorporate not only very general linguistic principles which evolved during a lifetime but also other information like the specific individual language use of a particular interlocutor. Traditionally, research has focused on the general linguist...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153046/ https://www.ncbi.nlm.nih.gov/pubmed/34296098 http://dx.doi.org/10.1093/texcom/tgaa021 |
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author | Kroczek, Leon O H Gunter, Thomas C |
author_facet | Kroczek, Leon O H Gunter, Thomas C |
author_sort | Kroczek, Leon O H |
collection | PubMed |
description | Effective natural communication requires listeners to incorporate not only very general linguistic principles which evolved during a lifetime but also other information like the specific individual language use of a particular interlocutor. Traditionally, research has focused on the general linguistic rules, and brain science has shown a left hemispheric fronto-temporal brain network related to this processing. The present fMRI research explores speaker-specific individual language use because it is unknown whether this processing is supported by similar or distinct neural structures. Twenty-eight participants listened to sentences of persons who used more easy or difficult language. This was done by manipulating the proportion of easy SOV vs. complex OSV sentences for each speaker. Furthermore, ambiguous probe sentences were included to test top-down influences of speaker information in the absence of syntactic structure information. We observed distinct neural processing for syntactic complexity and speaker-specific language use. Syntactic complexity correlated with left frontal and posterior temporal regions. Speaker-specific processing correlated with bilateral (right-dominant) fronto-parietal brain regions. Finally, the top-down influence of speaker information was found in frontal and striatal brain regions, suggesting a mechanism for controlled syntactic processing. These findings show distinct neural networks related to general language principles as well as speaker-specific individual language use. |
format | Online Article Text |
id | pubmed-8153046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81530462021-07-21 Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors Kroczek, Leon O H Gunter, Thomas C Cereb Cortex Commun Original Article Effective natural communication requires listeners to incorporate not only very general linguistic principles which evolved during a lifetime but also other information like the specific individual language use of a particular interlocutor. Traditionally, research has focused on the general linguistic rules, and brain science has shown a left hemispheric fronto-temporal brain network related to this processing. The present fMRI research explores speaker-specific individual language use because it is unknown whether this processing is supported by similar or distinct neural structures. Twenty-eight participants listened to sentences of persons who used more easy or difficult language. This was done by manipulating the proportion of easy SOV vs. complex OSV sentences for each speaker. Furthermore, ambiguous probe sentences were included to test top-down influences of speaker information in the absence of syntactic structure information. We observed distinct neural processing for syntactic complexity and speaker-specific language use. Syntactic complexity correlated with left frontal and posterior temporal regions. Speaker-specific processing correlated with bilateral (right-dominant) fronto-parietal brain regions. Finally, the top-down influence of speaker information was found in frontal and striatal brain regions, suggesting a mechanism for controlled syntactic processing. These findings show distinct neural networks related to general language principles as well as speaker-specific individual language use. Oxford University Press 2020-05-29 /pmc/articles/PMC8153046/ /pubmed/34296098 http://dx.doi.org/10.1093/texcom/tgaa021 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kroczek, Leon O H Gunter, Thomas C Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors |
title | Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors |
title_full | Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors |
title_fullStr | Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors |
title_full_unstemmed | Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors |
title_short | Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors |
title_sort | distinct neural networks relate to common and speaker-specific language priors |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153046/ https://www.ncbi.nlm.nih.gov/pubmed/34296098 http://dx.doi.org/10.1093/texcom/tgaa021 |
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