Neural Correlates of Music and Emotion in ASD and Typical Children

TitleNeural Correlates of Music and Emotion in ASD and Typical Children
Publication TypeMaster Thesis
Year of Publication2017
AuthorsDelgado, N.
AbstractAutistic Spectrum Disorder (ASD) is characterized by a delay in expressing and interpreting other emotions as well as having difficulties with social abilities. It covers a very broad range of diagnosis and it affects 1% of the world population, the differences between the various types are not well defined and the reason behind this disease is not well understood. Therefore, studies such as this are being carried out towards better comprehending and explaining the unknown of this disease. In this work, a group of ASD children and a group of typical children were observed by recording their EEG signal and verbal answers while they were exposed to audio-visual stimuli with an emotional character and were asked to identify such emotion. First, correlation between EEG features and verbal and expected response was computed to confirm EEG may be used to interpret emotions. This was confirmed. Next, EEG features were correlated with audio features to observe which audio category (harmony, melody, rhythm, or timbre) is most relevant when interpreting an emotion. Results from this study suggest timbre being most relevant. This study is intended to obtain further information about the relationship between music and ASD patients that could be employed to improve music therapy.
KeywordsAudio features, Autistic Spectrum Disorder, correlation, EEG, EEG features, Machine learning
Final publicationhttps://doi.org/10.5281/zenodo.1098523
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