Figure 7.

Distribution of decoding performance across 32 frequency bands for both 1D-CNN (A) and wavelet-ALFF (B). Each dot in the figure represents the AUC results of 1D-CNN (A) or wavelet-ALFF (B) for each peak voxel at each frequency band, in total of 25 (peak voxels) × 32 (frequency bands) = 800 dots. The read dashed lines indicate the efficient predictions with a threshold of AUC > 0.61 (corresponding to |T| > 4.08 and p < 0.0001). The 1D-CNN showed better predictions on high frequency bands (>0.1 Hz), while wavelet-ALFF showed more uniform distribution with a preference on low frequency bands (<0.1 Hz).