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Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces

Recognizing people from their voices may be facilitated by a voice’s distinctiveness, in a manner similar to that which has been reported for faces. However, little is known about the neural time-course of voice learning and the role of facial information in voice learning. Based on evidence for aud...

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Autores principales: Zäske, Romi, Kaufmann, Jürgen M., Schweinberger, Stefan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136676/
https://www.ncbi.nlm.nih.gov/pubmed/37190602
http://dx.doi.org/10.3390/brainsci13040637
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author Zäske, Romi
Kaufmann, Jürgen M.
Schweinberger, Stefan R.
author_facet Zäske, Romi
Kaufmann, Jürgen M.
Schweinberger, Stefan R.
author_sort Zäske, Romi
collection PubMed
description Recognizing people from their voices may be facilitated by a voice’s distinctiveness, in a manner similar to that which has been reported for faces. However, little is known about the neural time-course of voice learning and the role of facial information in voice learning. Based on evidence for audiovisual integration in the recognition of familiar people, we studied the behavioral and electrophysiological correlates of voice learning associated with distinctive or non-distinctive faces. We repeated twelve unfamiliar voices uttering short sentences, together with either distinctive or non-distinctive faces (depicted before and during voice presentation) in six learning-test cycles. During learning, distinctive faces increased early visually-evoked (N170, P200, N250) potentials relative to non-distinctive faces, and face distinctiveness modulated voice-elicited slow EEG activity at the occipito–temporal and fronto-central electrodes. At the test, unimodally-presented voices previously learned with distinctive faces were classified more quickly than were voices learned with non-distinctive faces, and also more quickly than novel voices. Moreover, voices previously learned with faces elicited an N250-like component that was similar in topography to that typically observed for facial stimuli. The preliminary source localization of this voice-induced N250 was compatible with a source in the fusiform gyrus. Taken together, our findings provide support for a theory of early interaction between voice and face processing areas during both learning and voice recognition.
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spelling pubmed-101366762023-04-28 Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces Zäske, Romi Kaufmann, Jürgen M. Schweinberger, Stefan R. Brain Sci Article Recognizing people from their voices may be facilitated by a voice’s distinctiveness, in a manner similar to that which has been reported for faces. However, little is known about the neural time-course of voice learning and the role of facial information in voice learning. Based on evidence for audiovisual integration in the recognition of familiar people, we studied the behavioral and electrophysiological correlates of voice learning associated with distinctive or non-distinctive faces. We repeated twelve unfamiliar voices uttering short sentences, together with either distinctive or non-distinctive faces (depicted before and during voice presentation) in six learning-test cycles. During learning, distinctive faces increased early visually-evoked (N170, P200, N250) potentials relative to non-distinctive faces, and face distinctiveness modulated voice-elicited slow EEG activity at the occipito–temporal and fronto-central electrodes. At the test, unimodally-presented voices previously learned with distinctive faces were classified more quickly than were voices learned with non-distinctive faces, and also more quickly than novel voices. Moreover, voices previously learned with faces elicited an N250-like component that was similar in topography to that typically observed for facial stimuli. The preliminary source localization of this voice-induced N250 was compatible with a source in the fusiform gyrus. Taken together, our findings provide support for a theory of early interaction between voice and face processing areas during both learning and voice recognition. MDPI 2023-04-07 /pmc/articles/PMC10136676/ /pubmed/37190602 http://dx.doi.org/10.3390/brainsci13040637 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zäske, Romi
Kaufmann, Jürgen M.
Schweinberger, Stefan R.
Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces
title Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces
title_full Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces
title_fullStr Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces
title_full_unstemmed Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces
title_short Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces
title_sort neural correlates of voice learning with distinctive and non-distinctive faces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136676/
https://www.ncbi.nlm.nih.gov/pubmed/37190602
http://dx.doi.org/10.3390/brainsci13040637
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