Literature DB >> 35945478

Disentangling emotional signals in the brain: an ALE meta-analysis of vocal affect perception.

Maël Mauchand1, Shuyi Zhang2.   

Abstract

Recent advances in neuroimaging research on vocal emotion perception have revealed voice-sensitive areas specialized in processing affect. Experimental data on this subject is varied, investigating a wide range of emotions through different vocal signals and task demands. The present meta-analysis was designed to disentangle this diversity of results by summarizing neuroimaging data in the vocal emotion perception literature. Data from 44 experiments contrasting emotional and neutral voices was analyzed to assess brain areas involved in vocal affect perception in general, as well as depending on the type of voice signal (speech prosody or vocalizations), the task demands (implicit or explicit attention to emotions), and the specific emotion perceived. Results reassessed a consistent bilateral network of Emotional Voices Areas consisting of the superior temporal cortex and primary auditory regions. Specific activations and lateralization of these regions, as well as additional areas (insula, middle temporal gyrus) were further modulated by signal type and task demands. Exploring the sparser data on single emotions also suggested the recruitment of other regions (insula, inferior frontal gyrus, frontal operculum) for specific aspects of each emotion. These novel meta-analytic results suggest that while the bulk of vocal affect processing is localized in the STC, the complexity and variety of such vocal signals entails functional specificities in complex and varied cortical (and potentially subcortical) response pathways.
© 2022. The Psychonomic Society, Inc.

Entities:  

Keywords:  Brain; Emotion; Neuroimaging; Prosody; fMRI

Year:  2022        PMID: 35945478     DOI: 10.3758/s13415-022-01030-y

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.526


  32 in total

1.  Perception of affective and linguistic prosody: an ALE meta-analysis of neuroimaging studies.

Authors:  Michel Belyk; Steven Brown
Journal:  Soc Cogn Affect Neurosci       Date:  2013-08-09       Impact factor: 3.436

2.  Emotional voice areas: anatomic location, functional properties, and structural connections revealed by combined fMRI/DTI.

Authors:  Thomas Ethofer; Johannes Bretscher; Markus Gschwind; Benjamin Kreifelts; Dirk Wildgruber; Patrik Vuilleumier
Journal:  Cereb Cortex       Date:  2011-05-30       Impact factor: 5.357

3.  Impact of personality on the cerebral processing of emotional prosody.

Authors:  Carolin Brück; Benjamin Kreifelts; Evangelia Kaza; Martin Lotze; Dirk Wildgruber
Journal:  Neuroimage       Date:  2011-06-13       Impact factor: 6.556

Review 4.  Mirror neuron system involvement in empathy: a critical look at the evidence.

Authors:  Amee D Baird; Ingrid E Scheffer; Sarah J Wilson
Journal:  Soc Neurosci       Date:  2011       Impact factor: 2.083

Review 5.  Emotional voices in context: a neurobiological model of multimodal affective information processing.

Authors:  Carolin Brück; Benjamin Kreifelts; Dirk Wildgruber
Journal:  Phys Life Rev       Date:  2011-10-19       Impact factor: 11.025

6.  Measuring emotion: the Self-Assessment Manikin and the Semantic Differential.

Authors:  M M Bradley; P J Lang
Journal:  J Behav Ther Exp Psychiatry       Date:  1994-03

7.  Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.

Authors:  Simon B Eickhoff; Danilo Bzdok; Angela R Laird; Christian Roski; Svenja Caspers; Karl Zilles; Peter T Fox
Journal:  Neuroimage       Date:  2011-05-14       Impact factor: 6.556

8.  Activation likelihood estimation meta-analysis revisited.

Authors:  Simon B Eickhoff; Danilo Bzdok; Angela R Laird; Florian Kurth; Peter T Fox
Journal:  Neuroimage       Date:  2011-09-22       Impact factor: 6.556

9.  Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.

Authors:  Simon B Eickhoff; Angela R Laird; Christian Grefkes; Ling E Wang; Karl Zilles; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

10.  Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRI.

Authors:  Freya Acar; Ruth Seurinck; Simon B Eickhoff; Beatrijs Moerkerke
Journal:  PLoS One       Date:  2018-11-30       Impact factor: 3.240

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