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      Same music, different emotions: assessing emotions and EEG correlates of music perception in children with ASD and typically developing peers

      research-article
      Galina Portnova , Alexandra Maslennikova , Anton Varlamov
      Advances in Autism
      Emerald Publishing
      Autism, Emotion perception, Empathy, EEG, Autism spectrum disorder, Music perception

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          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.

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          Most cited references49

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          EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

          We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
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            Approach to an irregular time series on the basis of the fractal theory

            T Higuchi (1988)
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              Toward objective classification of childhood autism: Childhood Autism Rating Scale (CARS)

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                Author and article information

                Contributors
                Journal
                AIA
                10.1108/AIA
                Advances in Autism
                AIA
                Emerald Publishing
                2056-3868
                02 July 2018
                16 October 2018
                : 4
                : 3
                : 85-94
                Affiliations
                [1]Institut Vyssej Nervnoj Deatel’nosti i Nejrofiziologii RAN, Moscow, Russian Federation
                [2]Pushkin State Russian Language Institute, Moscow, Russian Federation
                [3]Institute of Higher Nervous Activity and Neurophysiology of RAS and the Pushkin State Russian Language Institute, Moscow, Russian Federation
                Author notes
                Galina Portnova can be contacted at: caviter@list.ru
                Article
                612477 AIA-01-2018-0001.pdf AIA-01-2018-0001
                10.1108/AIA-01-2018-0001
                82d0068b-027f-4f2d-b210-2dd158e655fd
                © Emerald Publishing Limited
                History
                : 06 January 2018
                : 09 March 2018
                : 01 May 2018
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 47, Pages: 10, Words: 4625
                Categories
                research-article, Research paper
                cat-HSC, Health & social care
                cat-LID, Learning & intellectual disabilities
                Custom metadata
                yes
                yes
                JOURNAL
                included

                Health & Social care
                Emotion perception,Autism,EEG,Empathy,Music perception,Autism spectrum disorder
                Health & Social care
                Emotion perception, Autism, EEG, Empathy, Music perception, Autism spectrum disorder

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