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FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance
Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803954/ https://www.ncbi.nlm.nih.gov/pubmed/33436825 http://dx.doi.org/10.1038/s41598-020-79922-7 |
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author | Aglieri, Virginia Cagna, Bastien Velly, Lionel Takerkart, Sylvain Belin, Pascal |
author_facet | Aglieri, Virginia Cagna, Bastien Velly, Lionel Takerkart, Sylvain Belin, Pascal |
author_sort | Aglieri, Virginia |
collection | PubMed |
description | Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysis (MVPA) applied to fMRI data from a relatively large group of participants, and (2) at investigating the relationship across participants between fMRI-based classification and the group’s variable behavioural performance at the speaker recognition task. A cohort of subjects (N = 40, 28 females) selected to present a wide distribution of voice recognition abilities underwent an fMRI speaker identification task during which they were asked to recognize three previously learned speakers with finger button presses. The results showed that speaker identity could be significantly decoded based on fMRI patterns in voice-sensitive regions including bilateral temporal voice areas (TVAs) along the superior temporal sulcus/gyrus but also in bilateral parietal and left inferior frontal regions. Furthermore, fMRI-based classification accuracy showed a significant correlation with individual behavioural performance in left anterior STG/STS and left inferior frontal gyrus. These results highlight the role of both temporal and extra-temporal regions in performing a speaker identity recognition task with motor responses. |
format | Online Article Text |
id | pubmed-7803954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78039542021-01-13 FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance Aglieri, Virginia Cagna, Bastien Velly, Lionel Takerkart, Sylvain Belin, Pascal Sci Rep Article Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysis (MVPA) applied to fMRI data from a relatively large group of participants, and (2) at investigating the relationship across participants between fMRI-based classification and the group’s variable behavioural performance at the speaker recognition task. A cohort of subjects (N = 40, 28 females) selected to present a wide distribution of voice recognition abilities underwent an fMRI speaker identification task during which they were asked to recognize three previously learned speakers with finger button presses. The results showed that speaker identity could be significantly decoded based on fMRI patterns in voice-sensitive regions including bilateral temporal voice areas (TVAs) along the superior temporal sulcus/gyrus but also in bilateral parietal and left inferior frontal regions. Furthermore, fMRI-based classification accuracy showed a significant correlation with individual behavioural performance in left anterior STG/STS and left inferior frontal gyrus. These results highlight the role of both temporal and extra-temporal regions in performing a speaker identity recognition task with motor responses. Nature Publishing Group UK 2021-01-12 /pmc/articles/PMC7803954/ /pubmed/33436825 http://dx.doi.org/10.1038/s41598-020-79922-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Aglieri, Virginia Cagna, Bastien Velly, Lionel Takerkart, Sylvain Belin, Pascal FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
title | FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
title_full | FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
title_fullStr | FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
title_full_unstemmed | FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
title_short | FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
title_sort | fmri-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803954/ https://www.ncbi.nlm.nih.gov/pubmed/33436825 http://dx.doi.org/10.1038/s41598-020-79922-7 |
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