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Modality effects in implicit artificial grammar learning: An EEG study

2018-05Journal article Open access
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dc.contributor.authorSilva, Susana
dc.contributor.authorFolia, Vasiliki
dc.contributor.authorInácio, Filomena
dc.contributor.authorCastro, Sao Luis
dc.contributor.authorPetersson, Karl Magnus
dc.date.accessioned2018-12-07T14:57:51Z
dc.date.available2018-12-07T14:57:51Z
dc.date.issued2018-05
dc.description.abstractRecently, it has been proposed that sequence learning engages a combination of modality-specific operating networks and modality-independent computational principles. In the present study, we compared the behavioural and EEG outcomes of implicit artificial grammar learning in the visual vs. auditory modality. We controlled for the influence of surface characteristics of sequences (Associative Chunk Strength), thus focusing on the strictly structural aspects of sequence learning, and we adapted the paradigms to compensate for known frailties of the visual modality compared to audition (temporal presentation, fast presentation rate). The behavioural outcomes were similar across modalities. Favouring the idea of modality-specificity, ERPs in response to grammar violations differed in topography and latency (earlier and more anterior component in the visual modality), and ERPs in response to surface features emerged only in the auditory modality. In favour of modality-independence, we observed three common functional properties in the late ERPs of the two grammars: both were free of interactions between structural and surface influences, both were more extended in a grammaticality classification test than in a preference classification test, and both correlated positively and strongly with theta event-related-synchronization during baseline testing. Our findings support the idea of modality-specificity combined with modality-independence, and suggest that memory for visual vs. auditory sequences may largely contribute to cross-modal differences. (C) 2018 Elsevier B.V. All rights reserved.
dc.description.sponsorshipMax Planck Institute for Psycholinguistics; Donders Institute for Brain, Cognition and Behaviour; Fundacao para a Ciencia e Tecnologia [PTDC/PSI-PC0/110734/2009, UID/BIM/04773/2013, CBMR 1334, PEst-OE/EQB/1A0023/2013, UM/PSI/00050/2013]
dc.identifier.doi10.1016/j.brainres.2018.02.020
dc.identifier.issn0006-8993
dc.identifier.issn1872-6240
dc.identifier.urihttp://hdl.handle.net/10400.1/11729
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier Science
dc.relationIncentive
dc.relationSearch for new physics phenomena at the Large Hadron Collider at CERN and development of a new analysis group in LIP-Minho
dc.subjectFrontal Midline Theta
dc.subjectEvent-Related Potentials
dc.subjectWorking-Memory
dc.subjectBrain Potentials
dc.subjectEntrainment
dc.subjectAttention
dc.subjectTask
dc.subjectErp
dc.subjectRepresentations
dc.subjectSynchronization
dc.titleModality effects in implicit artificial grammar learning: An EEG study
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleIncentive
oaire.awardTitleSearch for new physics phenomena at the Large Hadron Collider at CERN and development of a new analysis group in LIP-Minho
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FPSI-PCO%2F110734%2F2009/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FBIM%2F04773%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/Incentivo%2FEQB%2FLA0023%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00050%2F2013%2FCP1172%2FCT0002/PT
oaire.citation.endPage59
oaire.citation.startPage50
oaire.citation.titleBrain Research
oaire.citation.volume1687
oaire.fundingStream3599-PPCDT
oaire.fundingStream5876
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamInvestigador FCT
person.familyNameSilva
person.familyNameInácio
person.familyNamePetersson
person.givenNameSusana
person.givenNameFilomena
person.givenNameKarl Magnus
person.identifier287376
person.identifier1506096
person.identifier13089
person.identifier.ciencia-idBB18-CDC1-228F
person.identifier.ciencia-idB211-E17C-4954
person.identifier.ciencia-id6D14-B1D1-1532
person.identifier.orcid0000-0003-2240-1828
person.identifier.orcid0000-0003-4387-0578
person.identifier.orcid0000-0002-8245-0392
person.identifier.ridA-4440-2013
person.identifier.ridE-8188-2012
person.identifier.scopus-author-id58205577900
person.identifier.scopus-author-id37112275500
person.identifier.scopus-author-id7006470225
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
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