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Distinct and common neural coding of semantic and non-semantic control demands
The flexible retrieval of knowledge is critical in everyday situations involving problem solving, reasoning and social interaction. Current theories emphasise the importance of a left-lateralised semantic control network (SCN) in supporting flexible semantic behaviour, while a bilateral multiple-dem...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271095/ https://www.ncbi.nlm.nih.gov/pubmed/34089873 http://dx.doi.org/10.1016/j.neuroimage.2021.118230 |
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author | Gao, Zhiyao Zheng, Li Chiou, Rocco Gouws, André Krieger-Redwood, Katya Wang, Xiuyi Varga, Dominika Ralph, Matthew A. Lambon Smallwood, Jonathan Jefferies, Elizabeth |
author_facet | Gao, Zhiyao Zheng, Li Chiou, Rocco Gouws, André Krieger-Redwood, Katya Wang, Xiuyi Varga, Dominika Ralph, Matthew A. Lambon Smallwood, Jonathan Jefferies, Elizabeth |
author_sort | Gao, Zhiyao |
collection | PubMed |
description | The flexible retrieval of knowledge is critical in everyday situations involving problem solving, reasoning and social interaction. Current theories emphasise the importance of a left-lateralised semantic control network (SCN) in supporting flexible semantic behaviour, while a bilateral multiple-demand network (MDN) is implicated in executive functions across domains. No study, however, has examined whether semantic and non-semantic demands are reflected in a common neural code within regions specifically implicated in semantic control. Using functional MRI and univariate parametric modulation analysis as well as multivariate pattern analysis, we found that semantic and non-semantic demands gave rise to both similar and distinct neural responses across control-related networks. Though activity patterns in SCN and MDN could decode the difficulty of both semantic and verbal working memory decisions, there was no shared common neural coding of cognitive demands in SCN regions. In contrast, regions in MDN showed common patterns across manipulations of semantic and working memory control demands, with successful cross-classification of difficulty across tasks. Therefore, SCN and MDN can be dissociated according to the information they maintain about cognitive demands. |
format | Online Article Text |
id | pubmed-8271095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82710952021-08-01 Distinct and common neural coding of semantic and non-semantic control demands Gao, Zhiyao Zheng, Li Chiou, Rocco Gouws, André Krieger-Redwood, Katya Wang, Xiuyi Varga, Dominika Ralph, Matthew A. Lambon Smallwood, Jonathan Jefferies, Elizabeth Neuroimage Article The flexible retrieval of knowledge is critical in everyday situations involving problem solving, reasoning and social interaction. Current theories emphasise the importance of a left-lateralised semantic control network (SCN) in supporting flexible semantic behaviour, while a bilateral multiple-demand network (MDN) is implicated in executive functions across domains. No study, however, has examined whether semantic and non-semantic demands are reflected in a common neural code within regions specifically implicated in semantic control. Using functional MRI and univariate parametric modulation analysis as well as multivariate pattern analysis, we found that semantic and non-semantic demands gave rise to both similar and distinct neural responses across control-related networks. Though activity patterns in SCN and MDN could decode the difficulty of both semantic and verbal working memory decisions, there was no shared common neural coding of cognitive demands in SCN regions. In contrast, regions in MDN showed common patterns across manipulations of semantic and working memory control demands, with successful cross-classification of difficulty across tasks. Therefore, SCN and MDN can be dissociated according to the information they maintain about cognitive demands. Academic Press 2021-08-01 /pmc/articles/PMC8271095/ /pubmed/34089873 http://dx.doi.org/10.1016/j.neuroimage.2021.118230 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Gao, Zhiyao Zheng, Li Chiou, Rocco Gouws, André Krieger-Redwood, Katya Wang, Xiuyi Varga, Dominika Ralph, Matthew A. Lambon Smallwood, Jonathan Jefferies, Elizabeth Distinct and common neural coding of semantic and non-semantic control demands |
title | Distinct and common neural coding of semantic and non-semantic control demands |
title_full | Distinct and common neural coding of semantic and non-semantic control demands |
title_fullStr | Distinct and common neural coding of semantic and non-semantic control demands |
title_full_unstemmed | Distinct and common neural coding of semantic and non-semantic control demands |
title_short | Distinct and common neural coding of semantic and non-semantic control demands |
title_sort | distinct and common neural coding of semantic and non-semantic control demands |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271095/ https://www.ncbi.nlm.nih.gov/pubmed/34089873 http://dx.doi.org/10.1016/j.neuroimage.2021.118230 |
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