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  Predicting vocal emotion expressions from the human brain

Kotz, S. A., Kalberlah, C., Bahlmann, J., Friederici, A. D., & Haynes, J.-D. (2013). Predicting vocal emotion expressions from the human brain. Human Brain Mapping, 34(8), 1971-1981. doi:10.1002/hbm.22041.

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Kotz_2012_Predicting.pdf (Verlagsversion), 2MB
 
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 Urheber:
Kotz, Sonja A.1, Autor           
Kalberlah, Christian2, 3, Autor           
Bahlmann, Jörg1, 4, Autor           
Friederici, Angela D.1, 5, Autor           
Haynes, John-Dylan3, 5, 6, Autor           
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
4Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA, ou_persistent22              
5Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
6Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634553              

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Schlagwörter: Emotion; Vocal expressions; Prosody; Multivariate pattern analysis; fMRI
 Zusammenfassung: Speech is an important carrier of emotional information. However, little is known about how different vocal emotion expressions are recognized in a receiver's brain. We used multivariate pattern analysis of functional magnetic resonance imaging data to investigate to which degree distinct vocal emotion expressions are represented in the receiver's local brain activity patterns. Specific vocal emotion expressions are encoded in a right fronto-operculo-temporal network involving temporal regions known to subserve suprasegmental acoustic processes and a fronto-opercular region known to support emotional evaluation, and, moreover, in left temporo-cerebellar regions covering sequential processes. The right inferior frontal region, in particular, was found to differentiate distinct emotional expressions. The present analysis reveals vocal emotion to be encoded in a shared cortical network reflected by distinct brain activity patterns. These results shed new light on theoretical and empirical controversies about the perception of distinct vocal emotion expressions at the level of large-scale human brain signals.

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Sprache(n): eng - English
 Datum: 2011-12-132011-09-192011-12-202012-02-272013-08
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/hbm.22041
PMID: 22371367
Anderer: Epub 2012
 Art des Abschluß: -

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Titel: Human Brain Mapping
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: New York : Wiley-Liss
Seiten: - Band / Heft: 34 (8) Artikelnummer: - Start- / Endseite: 1971 - 1981 Identifikator: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686