Fig. 3: The generated Nogo signal at pooled electrodes Cz, FCz, FC1, FC2, FC3, and FC4. | Communications Biology

Fig. 3: The generated Nogo signal at pooled electrodes Cz, FCz, FC1, FC2, FC3, and FC4.

From: Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level

Fig. 3

a Pooled and EEG signal for real Nogo and generated Nogo signal (top). Cohen’s effect sizes are based on a t-test comparing each sample point between generated and real Nogo signal (middle). Bayes factor bf01 (gray) and bf10 (green) for each sample point compared between generated and real Nogo signal. The dotted purple line depicts bf10 with a cut-off value of 30 (i.e., values above 30 were set to 30). Gray boxes indicate the time window of the N2 and the P3. b Real (blue) and generated (orange) Nogo signal as well as real Go signal (dotted gray) at pooled electrodes Cz, FCz, FC1, FC2, FC3, and FC4. The blue and orange shadings indicate the standard deviation. Timepoint zero denotes the time point of stimulus onset. Gray boxes indicate time windows of N2 and P3 analysis. Topography plots showing the voltage distribution are given for real and generated Nogo signals in the N2 peak time windows and in the P3 time window. Colors denote amplitude differences. c Results of sLORETA analysis. In the N2 time window, comparing the Nogo real signal against zero, sLORETA revealed sources in BA24. Comparing the generated Nogo signal against 0, sources in BA24 were found. For the P3 time window, comparing the real Nogo signal against 0 showed sources in BA24. Comparing the generated Nogo signal against 0, sources in BA24 and BA31 were revealed. Contrasting real and generated Nogo signal, sLORETA revealed sources in BA13. The figures show normalized amplitudes. For the sLORETA, t-values are given.

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