FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance
Abstract 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 patter...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-79922-7 |
| _version_ | 1818347038758141952 |
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| author | Virginia Aglieri Bastien Cagna Lionel Velly Sylvain Takerkart Pascal Belin |
| author_facet | Virginia Aglieri Bastien Cagna Lionel Velly Sylvain Takerkart Pascal Belin |
| author_sort | Virginia Aglieri |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-13T17:27:49Z |
| format | Article |
| id | doaj.art-a0a17f0cc1d142df864513649eab5736 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-13T17:27:49Z |
| publishDate | 2021-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-a0a17f0cc1d142df864513649eab57362022-12-21T23:37:08ZengNature PortfolioScientific Reports2045-23222021-01-0111111310.1038/s41598-020-79922-7FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performanceVirginia Aglieri0Bastien Cagna1Lionel Velly2Sylvain Takerkart3Pascal Belin4Institut de Neurosciences de La Timone, UMR 7289, CNRS and Aix-Marseille UniversitéInstitut de Neurosciences de La Timone, UMR 7289, CNRS and Aix-Marseille UniversitéInstitut de Neurosciences de La Timone, UMR 7289, CNRS and Aix-Marseille UniversitéInstitut de Neurosciences de La Timone, UMR 7289, CNRS and Aix-Marseille UniversitéInstitut de Neurosciences de La Timone, UMR 7289, CNRS and Aix-Marseille UniversitéAbstract 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.https://doi.org/10.1038/s41598-020-79922-7 |
| spellingShingle | Virginia Aglieri Bastien Cagna Lionel Velly Sylvain Takerkart Pascal Belin FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-020-79922-7 |
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