Aggressive vocal expressions : an investigation of their underlying neural network
Détails
ID Serval
serval:BIB_E6B09D2D4CA0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Aggressive vocal expressions : an investigation of their underlying neural network
Périodique
Frontiers in Behavioral Neuroscience
ISSN
1662-5153 (Electronic)
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
9
Numéro
121
Pages
NA
Langue
anglais
Résumé
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.
Mots-clé
emotion, voice, vocal production, neural network, fMRI
Pubmed
Open Access
Oui
Création de la notice
09/07/2015 14:49
Dernière modification de la notice
20/08/2019 16:09