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1- Department of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Ave.,Tehran, Iran.
2- Department of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Ave.,Tehran, Iran.
Introduction: Many theories about the etiology of autism have been proposed. One is related to brain connectivity in individuals with autism. Several studies have reported brain connectivity changes in autism disease. This study was performed on EEG studies that evaluated patients with autism using functional brain connectivity and compared them with typically developing individuals.
Methods: Three scientific databases were systematically searched through their online search engines, ScienceDirect, Medline (PubMed) and BioMed Central. Comprehensive Meta-Analysis software was used to analyze the data.
Results: The systematic search led to 10 papers in which EEG coherence was used to obtain brain connectivity of people with autism. To determine the effect size, the Cohen's d parameter was utilized. In the first meta-analysis, the study of the maximum effect size has been considered and all significant effect sizes evaluation has been done in the second meta-analysis. Evaluating the effect size was done using a random-effects model in both meta-analysis. The results of the first meta-analysis indicated that heterogeneity is not present among the studies (Q = 13.345, p> 0.1). Evaluation of all effect sizes in the second meta-analysis showed a significant lack of homogeneity among the studies (Q = 56.984, p = 0.0001).
Conclusion: As a total result, autism was found to be related to neural connectivity, and the present research showed the difference in the EEG coherence of people with autism and healthy people. These conclusions require further studies involving larger data, considering different brain regions, and novel analysis techniques for calculating brain connectivity.
Type of Study: Review | Subject: Computational Neuroscience
Received: 2018/04/27 | Accepted: 2018/10/7

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