Volume 20, Issue 2 (Summer 2018)                   Advances in Cognitive Sciences 2018, 20(2): 14-30 | Back to browse issues page

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Modelling the Autistics Connections of Brain Regions Based on Cellular Neural Networks
Elham Askari * 1, Ali Sheikhani2 , Mohammad Reza Mohammadi3 , Mohammad Teshnehlab4
1- Professor, Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, Tehran University, Tehran, Iran
2- Assistant Professor, Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
3- Professor, Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
4- Professor, Department of Control Engineering, K. N. Toosi University of Technology, Tehran, Iran
Abstract:   (3448 Views)
Introduction: Autism spectrum disorders (ASD) is a neurological disease with psychological symptoms and usually appears in the first three years of the life. It directly affects the human brain functions and connections. Method: This paper presents a model to show the connections of brain regions in children with autism and the control group based on electroencephalography. The model compared the brain connections of the two groups using cellular neural networks and wavelet transform. Results: The results showed that there were significant differences and abnormalities in the left hemisphere, (p<0.05) at the electrodes AF3, F3, P7, T7, O1 and AF4 in the children with autism compared with the control group. Also the evaluation of the obtained connections values between brain regions demonstrated that there were more abnormalities in the connectivity of frontal and parietal lobes and the relations of the neighboring regions in children with autism. Conclusion: Results are consistent with the previous experimental works and confirm this hypothesis, although the autistic brain is healthy but there are abnormalities in organization and connections of its regions.
Keywords: Autism, Electroencephalography, Cellular Neural Network, Wavelet Transform, Emotiv Epoch
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Type of Study: Research | Subject: Special
Received: 2017/07/2 | Accepted: 2017/10/10 | Published: 2018/09/11
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