Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kroczek, Leon O H, Gunter, Thomas C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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
_version_ 1783698716951052288
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
work_keys_str_mv AT kroczekleonoh distinctneuralnetworksrelatetocommonandspeakerspecificlanguagepriors
AT gunterthomasc distinctneuralnetworksrelatetocommonandspeakerspecificlanguagepriors