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dc.contributor.authorHernández, Doris
dc.contributor.authorPuupponen, Anna
dc.contributor.authorJantunen, Tommi
dc.date.accessioned2022-02-28T10:55:24Z
dc.date.available2022-02-28T10:55:24Z
dc.date.issued2022
dc.identifier.citationHernández, D., Puupponen, A., & Jantunen, T. (2022). The Contribution of Event-Related Potentials to the Understanding of Sign Language Processing and Production in the Brain : Experimental Evidence and Future Directions. <i>Frontiers in Communication</i>, <i>7</i>, Article 750256. <a href="https://doi.org/10.3389/fcomm.2022.750256" target="_blank">https://doi.org/10.3389/fcomm.2022.750256</a>
dc.identifier.otherCONVID_104358826
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/79995
dc.description.abstractFunctional neuroimaging allows investigation of the timing properties of the brain mechanisms underlying covert language processing. This paper presents a review of the use of the neuroimaging technique called Event-Related Potentials (ERPs) in sign language (SL) research. In the field of neurolinguistics, ERPs have been widely used in the study of spoken language, but their use in SL is still rare. Studying the neurocognitive aspects of SL could lead to a better understanding of the specific processing of SL in the brain. This review outlines the basic theoretical and methodological principles of ERPs. We focus on three groups of ERPs that are particularly relevant to SL processing and production: ERPs focusing on cognition, ERPs focusing on language, and ERPs focusing on movement aspects. We then summarize within each group some ERPs that we consider could be useful for studying the sequence of cognitive processes underlying SL processing and we discuss the current state of the use of ERPs within SL research. According to our analysis of the field, ERPs focusing on language aspects have been used more than ERPs focusing on cognitive and movement-related aspects to study SL. More variability in the type of SLs used is needed to expand the inferences made so far. For the development of the field, we recommend the more frequent use of videos and SL stimulation at a natural pace in order to understand how SL is processed in daily life. The use of a wider variety of ERPs in the study of SL is also recommended. We conclude that ERPs offer a useful tool to address unanswered questions in the field, especially those that call for measuring the building blocks of SL processing in real time. The study of SL cognitive processing in the brain is still in its infancy. One way of developing the field in the coming years would be the more frequent use of the ERP neuroimaging technique.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherFrontiers Media SA
dc.relation.ispartofseriesFrontiers in Communication
dc.rightsCC BY 4.0
dc.subject.otherevent-related potentials
dc.subject.othersign language
dc.subject.othercognitive processing
dc.subject.othercovert language processing
dc.subject.othercognitive neuroscience
dc.titleThe Contribution of Event-Related Potentials to the Understanding of Sign Language Processing and Production in the Brain : Experimental Evidence and Future Directions
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202202281716
dc.contributor.laitosKieli- ja viestintätieteiden laitosfi
dc.contributor.laitosDepartment of Language and Communication Studiesen
dc.contributor.oppiaineSuomalainen viittomakielifi
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineFinnish Sign Languageen
dc.contributor.oppiainePsychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_dcae04bc
dc.description.reviewstatuspeerReviewed
dc.relation.issn2297-900X
dc.relation.volume7
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 Hernández, Puupponen and Jantunen.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber339268
dc.subject.ysokognitiivinen neurotiede
dc.subject.ysokognitiiviset prosessit
dc.subject.ysoviittomakieli
dc.subject.ysokognitiivinen kielitiede
dc.subject.ysokuvantaminen
dc.subject.ysotutkimusmenetelmät
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p23133
jyx.subject.urihttp://www.yso.fi/onto/yso/p5283
jyx.subject.urihttp://www.yso.fi/onto/yso/p6834
jyx.subject.urihttp://www.yso.fi/onto/yso/p2173
jyx.subject.urihttp://www.yso.fi/onto/yso/p3532
jyx.subject.urihttp://www.yso.fi/onto/yso/p415
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3389/fcomm.2022.750256
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundinginformationThis review has been supported financially by the Academy of Finland under grant 339268.
datacite.isSupplementedBy.doi10.17011/jyx/dataset/89371
datacite.isSupplementedByJantunen, Tommi; Puupponen, Anna; Hernández Barros, Doris; Wainio, Tuija; Keränen, Jarkko. (2023). <i>Project data of ShowTell - EEG material</i>. University of Jyväskylä. <a href="https://doi.org/10.17011/jyx/dataset/89371" target="_blank">https://doi.org/10.17011/jyx/dataset/89371</a>. <a href="http://urn.fi/URN:NBN:fi:jyu-202310045391">https://urn.fi/URN:NBN:fi:jyu-202310045391</a>
dc.type.okmA2


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