Recent neuroimaging studies have shown that main symptoms of Autism Spectrum Disorder (ASD) like deficits in social communication, speech as well as repetitive behaviors and etc. are associated with abnormalities in neural connectivity. Although a large body of literature has shown that under-connectivity is the main cause of autism as a cognitive and neurobiological disorder, the others related this disorder to hyper-connectivity. This issue has been studied by several methods. Among these, electroencephalogram (EEG) is an efficient, non-invasive tool that records brain electrical activity and helps us to gain information about brain connective and cognitive characters. Therefore, the purpose of this study was to analyze EEG resting state data to compare brain connectivity (coherence) patterns between ADS and typically children. This study was a descriptive analytical one. Thirty children aged between 6 to 13 years old participated in this study. A group of 15 children with Autism Spectrum Disorder (ASD) and a group of 15 typically control children were selected. In both groups the children were matched pairwise on chronological age and gender. QEEG data analyses showed a significant difference between two groups and indicating hyper connectivity in most frequency bands of ASD group. As the results have shown, QEEG patterns of individuals with ASD had increased coherence in delta (p= 0.05) and theta (p=0.04) powers in prefrontal region, theta (p=0.03) and alpha (p=0.05) powers in central region, in theta (p=0.005), alpha (p=0.001) and beta (p=0.003) powers in occipital region and delta (p=0.016), theta (p=0.007) and alpha (p=0.029) powers in temporal region. The findings indicate that there are abnormalities in brain connectivity (coherence) patterns of ASD children and lend support to disrupted cortical connectivity theory.