English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-10E2-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-AD56-A
Genre: Journal Article

Files

show Files
hide Files
:
Kotz_2012_Predicting.pdf (Publisher version), 2MB
 
File Permalink:
-
Name:
Kotz_2012_Predicting.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Kotz, Sonja A.1, Author              
Kalberlah, Christian2, 3, Author              
Bahlmann, Jörg1, 4, Author              
Friederici, Angela D.1, 5, Author              
Haynes, John-Dylan3, 5, 6, Author              
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              

Content

show
hide
Free keywords: Emotion; Vocal expressions; Prosody; Multivariate pattern analysis; fMRI
 Abstract: 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.

Details

show
hide
Language(s): eng - English
 Dates: 2011-12-132011-09-192011-12-202012-02-272013-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/hbm.22041
PMID: 22371367
Other: Epub 2012
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Human Brain Mapping
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 34 (8) Sequence Number: - Start / End Page: 1971 - 1981 Identifier: ISSN: 1065-9471
CoNE: /journals/resource/954925601686