Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis.

We may note that in these additional channels, the median power also shows differences between the ASD and TD children, but those differences did not reach statistical significance.

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What is interesting, while in TD subjects we observed an increasing trend in power from frontal to posterior electrodes, for ASD ones the level of activity in those frequency bands remains similar across electrodes.

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