Long-latency event-related responses to vowels: N1-P2 decomposition by two-step principal component analysis

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dc.creatorDaniel Márcio Rodrigues Silva
dc.creatorRui Rothe-Neves
dc.creatorDanilo Barbosa Melges
dc.date.accessioned2023-11-10T23:51:37Z
dc.date.accessioned2025-09-09T00:55:59Z
dc.date.available2023-11-10T23:51:37Z
dc.date.issued2020-12-19
dc.identifier.doihttps://doi.org/10.1016/j.ijpsycho.2019.11.010
dc.identifier.issn1872-7697
dc.identifier.urihttps://hdl.handle.net/1843/60826
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational journal of psychophysiology
dc.rightsAcesso Restrito
dc.subjectPercepção da fala
dc.subjectCategorização (Linguística)
dc.subjectCircuitos neurais
dc.subject.otherPrincipal component analysis
dc.subject.otherEvent-related potential
dc.subject.otherN1
dc.subject.otherP2
dc.subject.otherSpeech perception
dc.subject.otherCategorization
dc.titleLong-latency event-related responses to vowels: N1-P2 decomposition by two-step principal component analysis
dc.typeArtigo de periódico
local.citation.epage102
local.citation.spage93
local.citation.volume148
local.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.
local.identifier.orcidhttps://orcid.org/0000-0001-7884-9205
local.identifier.orcidhttps://orcid.org/0000-0002-8896-8862
local.identifier.orcidhttps://orcid.org/0000-0002-5419-3827
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICA
local.publisher.departmentFALE - FACULDADE DE LETRAS
local.publisher.initialsUFMG

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