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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...

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Autores principales: Gao, Zhiyao, Zheng, Li, Chiou, Rocco, Gouws, André, Krieger-Redwood, Katya, Wang, Xiuyi, Varga, Dominika, Ralph, Matthew A. Lambon, Smallwood, Jonathan, Jefferies, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2021
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.
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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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