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A Tri-network Model of Human Semantic Processing
Humans process the meaning of the world via both verbal and nonverbal modalities. It has been established that widely distributed cortical regions are involved in semantic processing, yet the global wiring pattern of this brain system has not been considered in the current neurocognitive semantic mo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600905/ https://www.ncbi.nlm.nih.gov/pubmed/28955266 http://dx.doi.org/10.3389/fpsyg.2017.01538 |
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author | Xu, Yangwen He, Yong Bi, Yanchao |
author_facet | Xu, Yangwen He, Yong Bi, Yanchao |
author_sort | Xu, Yangwen |
collection | PubMed |
description | Humans process the meaning of the world via both verbal and nonverbal modalities. It has been established that widely distributed cortical regions are involved in semantic processing, yet the global wiring pattern of this brain system has not been considered in the current neurocognitive semantic models. We review evidence from the brain-network perspective, which shows that the semantic system is topologically segregated into three brain modules. Revisiting previous region-based evidence in light of these new network findings, we postulate that these three modules support multimodal experiential representation, language-supported representation, and semantic control. A tri-network neurocognitive model of semantic processing is proposed, which generates new hypotheses regarding the network basis of different types of semantic processes. |
format | Online Article Text |
id | pubmed-5600905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56009052017-09-27 A Tri-network Model of Human Semantic Processing Xu, Yangwen He, Yong Bi, Yanchao Front Psychol Psychology Humans process the meaning of the world via both verbal and nonverbal modalities. It has been established that widely distributed cortical regions are involved in semantic processing, yet the global wiring pattern of this brain system has not been considered in the current neurocognitive semantic models. We review evidence from the brain-network perspective, which shows that the semantic system is topologically segregated into three brain modules. Revisiting previous region-based evidence in light of these new network findings, we postulate that these three modules support multimodal experiential representation, language-supported representation, and semantic control. A tri-network neurocognitive model of semantic processing is proposed, which generates new hypotheses regarding the network basis of different types of semantic processes. Frontiers Media S.A. 2017-09-12 /pmc/articles/PMC5600905/ /pubmed/28955266 http://dx.doi.org/10.3389/fpsyg.2017.01538 Text en Copyright © 2017 Xu, He and Bi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Xu, Yangwen He, Yong Bi, Yanchao A Tri-network Model of Human Semantic Processing |
title | A Tri-network Model of Human Semantic Processing |
title_full | A Tri-network Model of Human Semantic Processing |
title_fullStr | A Tri-network Model of Human Semantic Processing |
title_full_unstemmed | A Tri-network Model of Human Semantic Processing |
title_short | A Tri-network Model of Human Semantic Processing |
title_sort | tri-network model of human semantic processing |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600905/ https://www.ncbi.nlm.nih.gov/pubmed/28955266 http://dx.doi.org/10.3389/fpsyg.2017.01538 |
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