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Neural responses in human superior temporal cortex support coding of voice representations

The ability to recognize abstract features of voice during auditory perception is an intricate feat of human audition. For the listener, this occurs in near-automatic fashion to seamlessly extract complex cues from a highly variable auditory signal. Voice perception depends on specialized regions of...

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Detalles Bibliográficos
Autores principales: Rupp, Kyle, Hect, Jasmine L., Remick, Madison, Ghuman, Avniel, Chandrasekaran, Bharath, Holt, Lori L., Abel, Taylor J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333263/
https://www.ncbi.nlm.nih.gov/pubmed/35900975
http://dx.doi.org/10.1371/journal.pbio.3001675
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author Rupp, Kyle
Hect, Jasmine L.
Remick, Madison
Ghuman, Avniel
Chandrasekaran, Bharath
Holt, Lori L.
Abel, Taylor J.
author_facet Rupp, Kyle
Hect, Jasmine L.
Remick, Madison
Ghuman, Avniel
Chandrasekaran, Bharath
Holt, Lori L.
Abel, Taylor J.
author_sort Rupp, Kyle
collection PubMed
description The ability to recognize abstract features of voice during auditory perception is an intricate feat of human audition. For the listener, this occurs in near-automatic fashion to seamlessly extract complex cues from a highly variable auditory signal. Voice perception depends on specialized regions of auditory cortex, including superior temporal gyrus (STG) and superior temporal sulcus (STS). However, the nature of voice encoding at the cortical level remains poorly understood. We leverage intracerebral recordings across human auditory cortex during presentation of voice and nonvoice acoustic stimuli to examine voice encoding at the cortical level in 8 patient-participants undergoing epilepsy surgery evaluation. We show that voice selectivity increases along the auditory hierarchy from supratemporal plane (STP) to the STG and STS. Results show accurate decoding of vocalizations from human auditory cortical activity even in the complete absence of linguistic content. These findings show an early, less-selective temporal window of neural activity in the STG and STS followed by a sustained, strongly voice-selective window. Encoding models demonstrate divergence in the encoding of acoustic features along the auditory hierarchy, wherein STG/STS responses are best explained by voice category and acoustics, as opposed to acoustic features of voice stimuli alone. This is in contrast to neural activity recorded from STP, in which responses were accounted for by acoustic features. These findings support a model of voice perception that engages categorical encoding mechanisms within STG and STS to facilitate feature extraction.
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spelling pubmed-93332632022-07-29 Neural responses in human superior temporal cortex support coding of voice representations Rupp, Kyle Hect, Jasmine L. Remick, Madison Ghuman, Avniel Chandrasekaran, Bharath Holt, Lori L. Abel, Taylor J. PLoS Biol Short Reports The ability to recognize abstract features of voice during auditory perception is an intricate feat of human audition. For the listener, this occurs in near-automatic fashion to seamlessly extract complex cues from a highly variable auditory signal. Voice perception depends on specialized regions of auditory cortex, including superior temporal gyrus (STG) and superior temporal sulcus (STS). However, the nature of voice encoding at the cortical level remains poorly understood. We leverage intracerebral recordings across human auditory cortex during presentation of voice and nonvoice acoustic stimuli to examine voice encoding at the cortical level in 8 patient-participants undergoing epilepsy surgery evaluation. We show that voice selectivity increases along the auditory hierarchy from supratemporal plane (STP) to the STG and STS. Results show accurate decoding of vocalizations from human auditory cortical activity even in the complete absence of linguistic content. These findings show an early, less-selective temporal window of neural activity in the STG and STS followed by a sustained, strongly voice-selective window. Encoding models demonstrate divergence in the encoding of acoustic features along the auditory hierarchy, wherein STG/STS responses are best explained by voice category and acoustics, as opposed to acoustic features of voice stimuli alone. This is in contrast to neural activity recorded from STP, in which responses were accounted for by acoustic features. These findings support a model of voice perception that engages categorical encoding mechanisms within STG and STS to facilitate feature extraction. Public Library of Science 2022-07-28 /pmc/articles/PMC9333263/ /pubmed/35900975 http://dx.doi.org/10.1371/journal.pbio.3001675 Text en © 2022 Rupp et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Short Reports
Rupp, Kyle
Hect, Jasmine L.
Remick, Madison
Ghuman, Avniel
Chandrasekaran, Bharath
Holt, Lori L.
Abel, Taylor J.
Neural responses in human superior temporal cortex support coding of voice representations
title Neural responses in human superior temporal cortex support coding of voice representations
title_full Neural responses in human superior temporal cortex support coding of voice representations
title_fullStr Neural responses in human superior temporal cortex support coding of voice representations
title_full_unstemmed Neural responses in human superior temporal cortex support coding of voice representations
title_short Neural responses in human superior temporal cortex support coding of voice representations
title_sort neural responses in human superior temporal cortex support coding of voice representations
topic Short Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333263/
https://www.ncbi.nlm.nih.gov/pubmed/35900975
http://dx.doi.org/10.1371/journal.pbio.3001675
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