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ERP Markers of Valence Coding in Emotional Speech Processing

How is auditory emotional information processed? The study's aim was to compare cerebral responses to emotionally positive or negative spoken phrases matched for structure and content. Twenty participants listened to 198 vocal stimuli while detecting filler phrases containing first names. EEG w...

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Detalles Bibliográficos
Autores principales: Proverbio, Alice Mado, Santoni, Sacha, Adorni, Roberta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063241/
https://www.ncbi.nlm.nih.gov/pubmed/32151976
http://dx.doi.org/10.1016/j.isci.2020.100933
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author Proverbio, Alice Mado
Santoni, Sacha
Adorni, Roberta
author_facet Proverbio, Alice Mado
Santoni, Sacha
Adorni, Roberta
author_sort Proverbio, Alice Mado
collection PubMed
description How is auditory emotional information processed? The study's aim was to compare cerebral responses to emotionally positive or negative spoken phrases matched for structure and content. Twenty participants listened to 198 vocal stimuli while detecting filler phrases containing first names. EEG was recorded from 128 sites. Three event-related potential (ERP) components were quantified and found to be sensitive to emotional valence since 350 ms of latency. P450 and late positivity were enhanced by positive content, whereas anterior negativity was larger to negative content. A similar set of markers (P300, N400, LP) was found previously for the processing of positive versus negative affective vocalizations, prosody, and music, which suggests a common neural mechanism for extracting the emotional content of auditory information. SwLORETA applied to potentials recorded between 350 and 550 ms showed that negative speech activated the right temporo/parietal areas (BA40, BA20/21), whereas positive speech activated the left homologous and inferior frontal areas.
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spelling pubmed-70632412020-03-16 ERP Markers of Valence Coding in Emotional Speech Processing Proverbio, Alice Mado Santoni, Sacha Adorni, Roberta iScience Article How is auditory emotional information processed? The study's aim was to compare cerebral responses to emotionally positive or negative spoken phrases matched for structure and content. Twenty participants listened to 198 vocal stimuli while detecting filler phrases containing first names. EEG was recorded from 128 sites. Three event-related potential (ERP) components were quantified and found to be sensitive to emotional valence since 350 ms of latency. P450 and late positivity were enhanced by positive content, whereas anterior negativity was larger to negative content. A similar set of markers (P300, N400, LP) was found previously for the processing of positive versus negative affective vocalizations, prosody, and music, which suggests a common neural mechanism for extracting the emotional content of auditory information. SwLORETA applied to potentials recorded between 350 and 550 ms showed that negative speech activated the right temporo/parietal areas (BA40, BA20/21), whereas positive speech activated the left homologous and inferior frontal areas. Elsevier 2020-02-24 /pmc/articles/PMC7063241/ /pubmed/32151976 http://dx.doi.org/10.1016/j.isci.2020.100933 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Proverbio, Alice Mado
Santoni, Sacha
Adorni, Roberta
ERP Markers of Valence Coding in Emotional Speech Processing
title ERP Markers of Valence Coding in Emotional Speech Processing
title_full ERP Markers of Valence Coding in Emotional Speech Processing
title_fullStr ERP Markers of Valence Coding in Emotional Speech Processing
title_full_unstemmed ERP Markers of Valence Coding in Emotional Speech Processing
title_short ERP Markers of Valence Coding in Emotional Speech Processing
title_sort erp markers of valence coding in emotional speech processing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063241/
https://www.ncbi.nlm.nih.gov/pubmed/32151976
http://dx.doi.org/10.1016/j.isci.2020.100933
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