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dc.contributor.authorGao, Zhiyao
dc.contributor.authorZheng, Li
dc.contributor.authorChiou, Rocco
dc.contributor.authorGouws, André
dc.contributor.authorKrieger-Redwood, Katya
dc.contributor.authorWang, Xiuyi
dc.contributor.authorVarga, Dominika
dc.contributor.authorRalph, Matthew A Lambon
dc.contributor.authorSmallwood, Jonathan
dc.contributor.authorJefferies, Elizabeth
dc.date.accessioned2021-06-24T20:43:58Z
dc.date.available2021-06-24T20:43:58Z
dc.date.issued2021-06-02
dc.identifier.citationGao, 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.en_US
dc.identifier.pmid34089873
dc.identifier.doi10.1016/j.neuroimage.2021.118230
dc.identifier.urihttp://hdl.handle.net/10150/660329
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc.en_US
dc.rightsCopyright © 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/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleDistinct and common neural coding of semantic and non-semantic control demandsen_US
dc.typeArticleen_US
dc.identifier.eissn1095-9572
dc.contributor.departmentDepartment of Psychology, University of Arizonaen_US
dc.identifier.journalNeuroImageen_US
dc.description.noteOpen access articleen_US
dc.description.collectioninformationThis 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.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleNeuroImage
dc.source.beginpage118230
dc.source.endpage
refterms.dateFOA2021-06-24T20:43:59Z
dc.source.countryUnited States


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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/).
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/).