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Appl. Sci. 2017, 7(3), 257;

Global Synchronization of Multichannel EEG   Based on Rényi Entropy in Children with Autism  Spectrum Disorder

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
College of Electronic & Information Engineering, Hebei University, Baoding 071002, China
Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding 071002, China
Authors to whom correspondence should be addressed.
Academic Editor: U Rajendra Acharya
Received: 31 December 2016 / Accepted: 4 March 2017 / Published: 6 March 2017
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Autism spectrum disorder (ASD) has been defined as a pervasive neurodevelopmental disorder, involving communication, social interaction and repetitive behaviors. Currently, it is still challenging to understand the differences of brain activity between ASD and healthy children. In this study, we propose calculating the Rényi entropy of the eigenvalues derived from the signal correlation matrix to measure the global synchronization in multichannel electroencephalograph (EEG) from 16 children with ASD (aged 8–12 years) and 16 age‐ and sex‐matched healthy controls at the resting state. The results indicate that there is a significantly diminished global synchronization from ASD to healthy control. The proposed method can help to reveal the intrinsic characteristics of multichannel EEG signals in children with ASD and aspects that distinguish them from healthy children. View Full-Text
Keywords: autism spectrum disorder (ASD); EEG; global synchronization; Rényi entropy autism spectrum disorder (ASD); EEG; global synchronization; Rényi entropy

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Han, J.; Li, Y.; Kang, J.; Cai, E.; Tong, Z.; Ouyang, G.; Li, X. Global Synchronization of Multichannel EEG   Based on Rényi Entropy in Children with Autism  Spectrum Disorder. Appl. Sci. 2017, 7, 257.

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