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  The sound of emotions: Towards a unifying neural network perspective of affective sound processing

Frühholz, S., Trost, W., & Kotz, S. A. (2016). The sound of emotions: Towards a unifying neural network perspective of affective sound processing. Neuroscience and Biobehavioral Reviews, 68, 96-110. doi:10.1016/j.neubiorev.2016.05.002.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-0BAB-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1BC7-F
Genre: Journal Article

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 Creators:
Frühholz, Sascha1, 2, 3, Author
Trost, Wiebke4, Author
Kotz, Sonja A.5, 6, Author              
Affiliations:
1Department of Psychology, University of Zurich, Switzerland, ou_persistent22              
2Neuroscience Center Zurich, University of Zurich, Switzerland, ou_persistent22              
3Zurich Center for Integrative Human Physiology (ZIHP), University of Zurich, Switzerland, ou_persistent22              
4Swiss Center for Affective Sciences, University of Geneva, Switzerland, ou_persistent22              
5Department of Neuropsychology and Psychopharmacology, Maastricht University, the Netherlands, ou_persistent22              
6Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Affect; Sound; Voice; Music; Limbic system; Auditory cortex; Basal ganglia; Cerebellum
 Abstract: Affective sounds are an integral part of the natural and social environment that shape and influence behavior across a multitude of species. In human primates, these affective sounds span a repertoire of environmental and human sounds when we vocalize or produce music. In terms of neural processing, cortical and subcortical brain areas constitute a distributed network that supports our listening experience to these affective sounds. Taking an exhaustive cross-domain view, we accordingly suggest a common neural network that facilitates the decoding of the emotional meaning from a wide source of sounds rather than a traditional view that postulates distinct neural systems for specific affective sound types. This new integrative neural network view unifies the decoding of affective valence in sounds, and ascribes differential as well as complementary functional roles to specific nodes within a common neural network. It also highlights the importance of an extended brain network beyond the central limbic and auditory brain systems engaged in the processing of affective sounds.

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Language(s): eng - English
 Dates: 2016-05-012016-01-072016-05-042016-05-142016-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neubiorev.2016.05.002
PMID: 27189782
Other: Epub 2016
 Degree: -

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Title: Neuroscience and Biobehavioral Reviews
Source Genre: Journal
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Publ. Info: New York [etc.] : Pergamon
Pages: - Volume / Issue: 68 Sequence Number: - Start / End Page: 96 - 110 Identifier: ISSN: 0149-7634
CoNE: /journals/resource/954928536106