Literature DB >> 29709500

Maturation of vocal emotion recognition: Insights from the developmental and neuroimaging literature.

Michele Morningstar1, Eric E Nelson2, Melanie A Dirks3.   

Abstract

Emotions are implicitly expressed in both facial expressions and prosodic components of vocal communication. The ability to recognize nonverbal cues of emotion is an important feature of social competence that matures gradually across childhood and adolescence. Compared to the extensive knowledge about the development of emotion recognition (ER) from facial displays of emotion, relatively little is known about the maturation of this ability in the auditory domain. The current review provides an overview of knowledge about the development of vocal emotion recognition from behavioural studies, and neural mechanisms that might contribute to this maturational process. Youth are thought to reach adult-like vocal ER ability in early or late adolescence. At a neural level, several structural and functional changes occur in the adolescent brain that may impact the representation of emotional information. However, there is a paucity of developmental neuroimaging work directly examining neural prosody processing in youth. We speculate that brain areas relevant to vocal perception in adults may undergo age-related changes that map onto increased vocal ER capacity.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Affect; Auditory processing; Development; Emotion recognition; Neuroimaging; Prosody; Temporal voice area; Vocal expression

Mesh:

Year:  2018        PMID: 29709500     DOI: 10.1016/j.neubiorev.2018.04.019

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  8 in total

1.  Age-related differences in neural activation and functional connectivity during the processing of vocal prosody in adolescence.

Authors:  Michele Morningstar; Whitney I Mattson; Joseph Venticinque; Stanley Singer; Bhavani Selvaraj; Houchun H Hu; Eric E Nelson
Journal:  Cogn Affect Behav Neurosci       Date:  2019-12       Impact factor: 3.282

Review 2.  Listening in: An Alternative Method for Measuring the Family Emotional Environment.

Authors:  Tawni B Stoop; Pamela M Cole
Journal:  Clin Child Fam Psychol Rev       Date:  2022-02-24

3.  EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model.

Authors:  Hong Zeng; Zhenhua Wu; Jiaming Zhang; Chen Yang; Hua Zhang; Guojun Dai; Wanzeng Kong
Journal:  Brain Sci       Date:  2019-11-14

4.  Categorization of Vocal Emotion Cues Depends on Distributions of Input.

Authors:  Kristina Woodard; Rista C Plate; Michele Morningstar; Adrienne Wood; Seth D Pollak
Journal:  Affect Sci       Date:  2021-04-10

5.  A bottom-up model of functional outcome in schizophrenia.

Authors:  Hongge Luo; Yanli Zhao; Fengmei Fan; Hongzhen Fan; Yunhui Wang; Wei Qu; Zhiren Wang; Yunlong Tan; Xiujun Zhang; Shuping Tan
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

6.  Emotional prosody recognition enhances and progressively complexifies from childhood to adolescence.

Authors:  M Filippa; D Lima; A Grandjean; C Labbé; S Y Coll; E Gentaz; D M Grandjean
Journal:  Sci Rep       Date:  2022-10-13       Impact factor: 4.996

7.  Pediatric anxiety associated with altered facial emotion recognition.

Authors:  Lance M Rappaport; Nicole Di Nardo; Melissa A Brotman; Daniel S Pine; Ellen Leibenluft; Roxann Roberson-Nay; John M Hettema
Journal:  J Anxiety Disord       Date:  2021-06-07

8.  Longitudinal change in neural response to vocal emotion in adolescence.

Authors:  Michele Morningstar; Whitney I Mattson; Eric E Nelson
Journal:  Soc Cogn Affect Neurosci       Date:  2022-10-03       Impact factor: 4.235

  8 in total

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