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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/60826
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dc.creatorDaniel M. R. Silvapt_BR
dc.creatorRui Rothe-Nevespt_BR
dc.creatorDanilo Barbosa Melgespt_BR
dc.date.accessioned2023-11-10T23:51:37Z-
dc.date.available2023-11-10T23:51:37Z-
dc.date.issued2020-12-19-
dc.citation.volume148pt_BR
dc.citation.spage93pt_BR
dc.citation.epage102pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ijpsycho.2019.11.010pt_BR
dc.identifier.issn1872-7697pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/60826-
dc.description.resumoThe N1-P2 complex of the auditory event-related potential (ERP) has been used to examine neural activity associated with speech sound perception. Since it is thought to reflect multiple generator processes, its functional significance is difficult to infer. In the present study, a temporospatial principal component analysis (PCA) was used to decompose the N1-P2 response into latent factors underlying covariance patterns in ERP data recorded during passive listening to pairs of successive vowels. In each trial, one of six sounds drawn from an /i/−/e/ vowel continuum was followed either by an identical sound, a different token of the same vowel category, or a token from the other category. Responses were examined as to how they were modulated by within- and across-category vowel differences and by adaptation (repetition suppression) effects. Five PCA factors were identified as corresponding to three well-known N1 subcomponents and two P2 subcomponents. Results added evidence that the N1 peak reflects both generators that are sensitive to spectral information and generators that are not. For later latency ranges, different patterns of sensitivity to vowel quality were found, including category-related effects. Particularly, a subcomponent identified as the Tb wave showed release from adaptation in response to an /i/ followed by an /e/ sound. A P2 subcomponent varied linearly with spectral shape along the vowel continuum, while the other was stronger the closer the vowel was to the category boundary, suggesting separate processing of continuous and category-related information. Thus, the PCA-based decomposition of the N1-P2 complex was functionally meaningful, revealing distinct underlying processes at work during speech sound perception.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICApt_BR
dc.publisher.departmentFALE - FACULDADE DE LETRASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofLanguage Learning and Developmentpt_BR
dc.rightsAcesso Restritopt_BR
dc.subjectPrincipal component analysispt_BR
dc.subjectEvent-related potentialpt_BR
dc.subjectN1pt_BR
dc.subjectP2pt_BR
dc.subjectSpeech perceptionpt_BR
dc.subjectCategorizationpt_BR
dc.subject.otherPercepção da falapt_BR
dc.subject.otherCategorização (Linguística)pt_BR
dc.subject.otherCircuitos neuraispt_BR
dc.titleLong-latency event-related responses to vowels: N1-P2 decomposition by two-step principal component analysispt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7884-9205pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8896-8862pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5419-3827pt_BR
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