Aggressive vocal expressions : an investigation of their underlying neural network

Details

Serval ID
serval:BIB_E6B09D2D4CA0
Type
Article: article from journal or magazin.
Collection
Publications
Title
Aggressive vocal expressions : an investigation of their underlying neural network
Journal
Frontiers in Behavioral Neuroscience
Author(s)
Klaas H. S., Frühholz S., Grandjean D.
ISSN
1662-5153 (Electronic)
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
9
Number
121
Pages
NA
Language
english
Abstract
Recent neural network models for the production of primate vocalizations are largely based on research in nonhuman primates. These models seem yet not fully capable of explaining the neural network dynamics especially underlying different types of human vocalizations. Unlike animal vocalizations, human affective vocalizations might involve higher levels of vocal control and monitoring demands, especially in case of more complex vocal expressions of emotions superimposed on speech. Here we therefore investigated the functional cortico-subcortical network underlying different types (evoked vs. repetition) of producing human affective vocalizations in terms of affective prosody, especially examining the aggressive tone of a voice while producing meaningless speech-like utterances. Functional magnetic resonance imaging revealed, first, that bilateral auditory cortices showed a close functional interconnectivity during affective vocalizations pointing to a bilateral exchange of relevant acoustic information of produced vocalizations. Second, bilateral motor cortices (MC) that directly control vocal motor behavior showed functional connectivity to the right inferior frontal gyrus (IFG) and the right superior temporal gyrus (STG). Thus, vocal motor behavior during affective vocalizations seems to be controlled by a right lateralized network that provides vocal monitoring (IFG), probably based on auditory feedback processing (STG). Third, the basal ganglia (BG) showed both positive and negative modulatory connectivity with several frontal (ACC, IFG) and temporal brain regions (STG). Finally, the repetition of affective prosody compared to evoked vocalizations revealed a more extended neural network probably based on higher control and vocal monitoring demands. Taken together, the functional brain network underlying human affective vocalizations revealed several features that have been so far neglected in models of primate vocalizations.
Keywords
emotion, voice, vocal production, neural network, fMRI
Pubmed
Open Access
Yes
Create date
09/07/2015 15:49
Last modification date
20/08/2019 17:09
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