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  Mean-based neural coding of voices

Andics, A., McQueen, J. M., & Petersson, K. M. (2013). Mean-based neural coding of voices. NeuroImage, 79, 351-360. doi:10.1016/j.neuroimage.2013.05.002.

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 Creators:
Andics, Attila1, 2, 3, 4, Author           
McQueen, James M.1, 2, 3, 5, Author           
Petersson, Karl Magnus3, 6, 7, Author           
Affiliations:
1Language Comprehension Department, MPI for Psycholinguistics, Max Planck Society, ou_792550              
2Mechanisms and Representations in Comprehending Speech, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_55215              
3Donders Institute for Brain, Cognition and Behaviour, ou_persistent22              
4Comparative Ethological Research Group, Hungarian Academy of Sciences – Eötvös Loránd University, Budapest, Hungary, ou_persistent22              
5Behavioural Science Institute, Radboud University Nijmegen,, ou_persistent22              
6Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792551              
7Cognitive Neuroscience Research Group, Institute for Biotechnology & Bioengineering, CBME, University of Algarve, Faro, Portugal, ou_persistent22              

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 Abstract: The social significance of recognizing the person who talks to us is obvious, but the neural mechanisms that mediate talker identification are unclear. Regions along the bilateral superior temporal sulcus (STS) and the inferior frontal cortex (IFC) of the human brain are selective for voices, and they are sensitive to rapid voice changes. Although it has been proposed that voice recognition is supported by prototype-centered voice representations, the involvement of these category-selective cortical regions in the neural coding of such "mean voices" has not previously been demonstrated. Using fMRI in combination with a voice identity learning paradigm, we show that voice-selective regions are involved in the mean-based coding of voice identities. Voice typicality is encoded on a supra-individual level in the right STS along a stimulus-dependent, identity-independent (i.e., voice-acoustic) dimension, and on an intra-individual level in the right IFC along a stimulus-independent, identity-dependent (i.e., voice identity) dimension. Voice recognition therefore entails at least two anatomically separable stages, each characterized by neural mechanisms that reference the central tendencies of voice categories.

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Language(s): eng - English
 Dates: 20132013
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2013.05.002
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 79 Sequence Number: - Start / End Page: 351 - 360 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166