Distinct and common neural coding of semantic and non-semantic control demands
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Author
Gao, ZhiyaoZheng, Li
Chiou, Rocco
Gouws, André
Krieger-Redwood, Katya
Wang, Xiuyi
Varga, Dominika
Ralph, Matthew A Lambon
Smallwood, Jonathan
Jefferies, Elizabeth
Affiliation
Department of Psychology, University of ArizonaIssue Date
2021-06-02
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Academic Press Inc.Citation
Gao, Z., Zheng, L., Chiou, R., Gouws, A., Krieger-Redwood, K., Wang, X., Varga, D., Ralph, M. A. L., Smallwood, J., & Jefferies, E. (2021). Distinct and common neural coding of semantic and non-semantic control demands. NeuroImage.Journal
NeuroImageRights
Copyright © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.Note
Open access articleEISSN
1095-9572PubMed ID
34089873Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1016/j.neuroimage.2021.118230
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Except where otherwise noted, this item's license is described as Copyright © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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