The present study aims at identifying the brain response for auditory/visual stimuli in typically developing (TD) and children with autism through electroencephalography (EEG). Early diagnoses do help in customized training and progressing the children in regular stream. To reveal the underlying brain dynamics, non-linear analysis was employed. In the current study, Recurrent Quantification Analysis (RQA) with varying parameters was analyzed. For better information retrieval, cosine distance metric is additionally considered for analysis and compared with other distance metrics in RQA. Each computational combination of RQA is measured and the responding channels were analyzed and discussed. It was observed that the FAN neighborhood with cosine distance parameters was able to discriminate between ASD and TD prominently.

中文翻译：

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ASD儿童脑电信号的复发量化分析

本研究旨在通过脑电图 (EEG) 确定典型发育 (TD) 和自闭症儿童对听觉/视觉刺激的大脑反应。早期诊断确实有助于定制培训和定期让孩子进步。为了揭示潜在的大脑动力学，采用了非线性分析。在当前的研究中，分析了具有不同参数的循环定量分析 (RQA)。为了更好地检索信息，还考虑了余弦距离度量以进行分析，并与 RQA 中的其他距离度量进行比较。测量 RQA 的每个计算组合，并分析和讨论响应通道。观察到具有余弦距离参数的 FAN 邻域能够显着区分 ASD 和 TD。