Same music, different emotions: assessing emotions and EEG correlates of music perception in children with ASD and typically developing peers
ISSN: 2056-3868
Article publication date: 2 July 2018
Issue publication date: 16 October 2018
Abstract
Purpose
The purpose of this paper is to assess emotional response to music and its EEG correlates in children with autism spectrum disorders (ASD).
Design/methodology/approach
Six musical fragments eliciting emotional states of calmness/serenity, sadness and anxiety/fear were presented to children with ASD (n=21, aged 5–9) and typically developing (TD) peers (n=21), while 19-channel EEG was recorded. Emotion self-reports were assessed using visual analogous scales.
Findings
Children with ASD assessed most music fragments similarly to their TD peers, with likelihood of EEG oscillatory patterns closely corresponding to emotion self-reports. Somewhat contrary to the expectations, a major difference was observed for one fragment only, which was identified as sad by TD children and adult neurotypical raters, but found “angry and frightening” by children with ASD, with EEG oscillatory response confirming greater cortical activation, particularly for the right hemisphere.
Research limitations/implications
The data suggest that children with ASD may have emotional reactions to music either similar or highly aberrant compared to TD peers, rather than having general difficulties in assessing emotions. The data should be confirmed by further studies, ideally involving high functioning adult autists.
Practical implications
The findings may increase the understanding of autists’ difficulties in perceiving prosodic nuances and reading emotional cues. The results can be taken into consideration when developing music-based interventions.
Originality/value
The findings show that music may be perceived by children with ASD in a unique way, which may be difficult to predict by neurotypical raters.
Keywords
Acknowledgements
The authors would like to thank Mikhail Atanov and Olga Kashevarova for their input into EEG signal analysis, Ksenia Gladun for assistance during EEG recordings and clinical assessment of EEG, Valeria Gusarova and Evgenia Mironova for assisting with EEG data and psychometric data collection, and the team of NGO Psychological Center “Equalize“ and, in particular, its Director Elena Filimonova for making this research possible. This study was supported by Grant from the Russian fund of fundamental research No. 16-04-00092 and the Russian Academy of Sciences.
Citation
Portnova, G., Maslennikova, A. and Varlamov, A. (2018), "Same music, different emotions: assessing emotions and EEG correlates of music perception in children with ASD and typically developing peers", Advances in Autism, Vol. 4 No. 3, pp. 85-94. https://doi.org/10.1108/AIA-01-2018-0001
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited