@ARTICLE{Askari, author = {Askari, Elham and Sheikhani, Ali and Mohammadi, Mohammad Reza and Teshnehlab, Mohammad and }, title = {Modelling the Autistics Connections of Brain Regions Based on Cellular Neural Networks }, volume = {20}, number = {2}, abstract ={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. }, URL = {http://icssjournal.ir/article-1-730-en.html}, eprint = {http://icssjournal.ir/article-1-730-en.pdf}, journal = {Advances in Cognitive Sciences}, doi = {}, year = {2018} }