Welcome to the UPF Digital Repository

Early detection of language categories in face perception

Show simple item record

dc.contributor.author Baus, Cristina
dc.contributor.author Ruiz Tada, Elisa, 1984-
dc.contributor.author Escera, Carles
dc.contributor.author Costa, Albert, 1970-
dc.date.accessioned 2021-05-21T08:22:09Z
dc.date.available 2021-05-21T08:22:09Z
dc.date.issued 2021
dc.identifier.citation Baus C, Ruiz-Tada E, Escera C, Costa A. Early detection of language categories in face perception. Sci Rep. 2021;11:9715. DOI: 10.1038/s41598-021-89007-8
dc.identifier.issn 2045-2322
dc.identifier.uri http://hdl.handle.net/10230/47638
dc.description.abstract Does language categorization influence face identification? The present study addressed this question by means of two experiments. First, to establish language categorization of faces, the memory confusion paradigm was used to create two language categories of faces, Spanish and English. Subsequently, participants underwent an oddball paradigm, in which faces that had been previously paired with one of the two languages (Spanish or English), were presented. We measured EEG perceptual differences (vMMN) between standard and two types of deviant faces: within-language category (faces sharing language with standards) or between-language category (faces paired with the other language). Participants were more likely to confuse faces within the language category than between categories, an index that faces were categorized by language. At the neural level, early vMMN were obtained for between-language category faces, but not for within-language category faces. At a later stage, however, larger vMMNs were obtained for those faces from the same language category. Our results showed that language is a relevant social cue that individuals used to categorize others and this categorization subsequently affects face perception.
dc.description.sponsorship This work was supported by different projects from the Spanish Government (PSI2017-84539-P and RTI2018-096238-A-I00). Cristina Baus was supported by the Beatriu de Pinòs fellowship (BP00381, AGAUR) and the Ramon y Cajal research program (RYC2018-026174-I). Elisa Ruiz-Tada was supported by the Early Stage Research Grant (FI-DGR) from the Agency for Management of University and Research Funds (AGAUR) and the Catalan Government. Carles Escera was supported by the Generalitat de Catalunya (SGR2017-974) and the ICREA Acadèmia Distinguished Professorship.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Nature Research
dc.relation.ispartof Scientific Reports. 2021;11:9715
dc.rights This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Early detection of language categories in face perception
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1038/s41598-021-89007-8
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PSI2017-84539-P
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-096238-A-I00
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

In collaboration with Compliant to Partaking