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dc.contributor.authorChen, Changming
dc.contributor.authorLou, Yixue
dc.contributor.authorLi, Hong
dc.contributor.authorYuan, Jiajin
dc.contributor.authorYang, Jiemin
dc.contributor.authorWinskel, Heather
dc.contributor.authorQin, Shaozheng
dc.date.accessioned2021-12-10T11:18:32Z
dc.date.available2021-12-10T11:18:32Z
dc.date.issued2022
dc.identifier.citationChen, C., Lou, Y., Li, H., Yuan, J., Yang, J., Winskel, H., & Qin, S. (2022). Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect. <i>Neuroimage</i>, <i>246</i>, Article 118756. <a href="https://doi.org/10.1016/j.neuroimage.2021.118756" target="_blank">https://doi.org/10.1016/j.neuroimage.2021.118756</a>
dc.identifier.otherCONVID_102340843
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/78940
dc.description.abstractThe composite face effect (CFE) is recognized as a hallmark for holistic face processing, but our knowledge remains sparse about its cognitive and neural loci. Using functional magnetic resonance imaging with independent localizer and complete composite face task, we here investigated its neural-behavioral correspondence within face processing and attention networks. Complementing classical comparisons, we adopted a dimensional reduction approach to explore the core cognitive constructs of the behavioral CFE measurement. Our univariate analyses found an alignment effect in regions associated with both the extended face processing network and attention networks. Further representational similarity analyses based on the Euclidian distances among all experimental conditions were used to identify cortical regions with reliable neural-behavioral correspondences. Multidimensional scaling and hierarchical clustering analyses for neural-behavioral correspondence data revealed two principal components underlying the behavioral CFE effect, which fit best to the neural responses in the bilateral insula and medial frontal gyrus. These findings highlight the distinct neurocognitive contributions of both face processing and attentional networks to the behavioral CFE outcome, which bridge the gaps between face recognition and attentional control models.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesNeuroimage
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherrepresentational similarity analysis
dc.subject.otherinsula
dc.subject.otherfusiform gyrus
dc.subject.othercomposite face effect
dc.titleDistinct neural-behavioral correspondence within face processing and attention networks for the composite face effect
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202112105927
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1053-8119
dc.relation.volume246
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 The Authors. Published by Elsevier Inc.
dc.rights.accesslevelopenAccessfi
dc.subject.ysokasvontunnistus (kognitio)
dc.subject.ysotoiminnallinen magneettikuvaus
dc.subject.ysotarkkaavaisuus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p39330
jyx.subject.urihttp://www.yso.fi/onto/yso/p24211
jyx.subject.urihttp://www.yso.fi/onto/yso/p9105
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.neuroimage.2021.118756
jyx.fundinginformationThis work was supported by the National Natural Science Foundation of China ( 31871110 , 32130045 , 31971018 , 81571056 , 31671150 , 31871103 ), the Natural Science Foundation of Henan Province ( 182300410366 ), Guangdong Key Project in “Development of new tools for diagnosis and treatment of Autism ” (2018B030335001) and Humanities and Social Sciences Project of Education Department of Henan Province (2018-ZZJH-480).
dc.type.okmA1


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