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Fig. 2 | Journal of Neurodevelopmental Disorders

Fig. 2

From: Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months

Fig. 2

Information about features most correlated with autism diagnostic outcome for nearly overlapping 6- and 12-month analyses (n = 54). The bottom row visualizes the values for the 12-month dataset (middle row) minus the 6-month dataset (top row). A, D, G Average number of features selected from each channel. Color indicates number of features selected from a given channel. B, E, H Average count of each EEG measure across iterations (orange) and percentage of iterations that each measure was selected at least once (blue). C, F, I Average count of each wavelet across iterations (orange) and percentage of iterations that each wavelet was selected at least once (blue)

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