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Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language

Language has been modeled as a rule governed behavior for generating an unlimited number of novel utterances using phonological, syntactic, and lexical processes. This view of language as essentially propositional is expanding as a contributory role of formulaic expressions (e.g., you know, have a n...

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Autores principales: Sidtis, John J., Van Lancker Sidtis, Diana, Dhawan, Vijay, Eidelberg, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5899291/
https://www.ncbi.nlm.nih.gov/pubmed/29357680
http://dx.doi.org/10.1089/brain.2017.0573
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author Sidtis, John J.
Van Lancker Sidtis, Diana
Dhawan, Vijay
Eidelberg, David
author_facet Sidtis, John J.
Van Lancker Sidtis, Diana
Dhawan, Vijay
Eidelberg, David
author_sort Sidtis, John J.
collection PubMed
description Language has been modeled as a rule governed behavior for generating an unlimited number of novel utterances using phonological, syntactic, and lexical processes. This view of language as essentially propositional is expanding as a contributory role of formulaic expressions (e.g., you know, have a nice day, how are you?) is increasingly recognized. The basic features of the functional anatomy of this language system have been described by studies of brain damage: left lateralization for propositional language and greater right lateralization and basal ganglia involvement for formulaic expressions. Positron emission tomography (PET) studies of cerebral blood flow (CBF) have established a cortical–subcortical pattern of brain activity predictive of syllable rate during phonological/lexical repetition. The same analytic approach was applied to analyzing brain images obtained during spontaneous monologues. Sixteen normal, right-handed, native English speakers underwent PET scanning during several language tasks. Speech rate for the repetition of phonological/lexical items was predicted by increased CBF in the left inferior frontal region and decreased CBF in the head of the right caudate nucleus, replicating previous results. A complementary cortical–subcortical pattern (CBF increased in the right inferior frontal region and decreased in the left caudate) was predictive of the use of speech formulas during monologue speech. The use of propositional language during the monologues was associated with strong left lateralization (increased CBF at the left inferior frontal region and decreased CBF at the right inferior frontal region). Normal communication involves the integration of two language modes, formulaic and novel, that have different neural substrates.
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spelling pubmed-58992912018-04-16 Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language Sidtis, John J. Van Lancker Sidtis, Diana Dhawan, Vijay Eidelberg, David Brain Connect Original Articles Language has been modeled as a rule governed behavior for generating an unlimited number of novel utterances using phonological, syntactic, and lexical processes. This view of language as essentially propositional is expanding as a contributory role of formulaic expressions (e.g., you know, have a nice day, how are you?) is increasingly recognized. The basic features of the functional anatomy of this language system have been described by studies of brain damage: left lateralization for propositional language and greater right lateralization and basal ganglia involvement for formulaic expressions. Positron emission tomography (PET) studies of cerebral blood flow (CBF) have established a cortical–subcortical pattern of brain activity predictive of syllable rate during phonological/lexical repetition. The same analytic approach was applied to analyzing brain images obtained during spontaneous monologues. Sixteen normal, right-handed, native English speakers underwent PET scanning during several language tasks. Speech rate for the repetition of phonological/lexical items was predicted by increased CBF in the left inferior frontal region and decreased CBF in the head of the right caudate nucleus, replicating previous results. A complementary cortical–subcortical pattern (CBF increased in the right inferior frontal region and decreased in the left caudate) was predictive of the use of speech formulas during monologue speech. The use of propositional language during the monologues was associated with strong left lateralization (increased CBF at the left inferior frontal region and decreased CBF at the right inferior frontal region). Normal communication involves the integration of two language modes, formulaic and novel, that have different neural substrates. Mary Ann Liebert, Inc. 2018-04-01 2018-04-01 /pmc/articles/PMC5899291/ /pubmed/29357680 http://dx.doi.org/10.1089/brain.2017.0573 Text en © John J. Sidtis et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Sidtis, John J.
Van Lancker Sidtis, Diana
Dhawan, Vijay
Eidelberg, David
Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language
title Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language
title_full Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language
title_fullStr Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language
title_full_unstemmed Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language
title_short Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language
title_sort switching language modes: complementary brain patterns for formulaic and propositional language
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5899291/
https://www.ncbi.nlm.nih.gov/pubmed/29357680
http://dx.doi.org/10.1089/brain.2017.0573
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