Figure 6

Correlations between classification accuracy and feature value. Scatter plots illustrating the correlations between the classification accuracies (%) and the averaged feature values over all trials for each subject (each dot represents one subject, only those subjects are shown for whom the feature was selected for classification). Separate plots are shown for the significant findings in two of the four feature: (Left) Δ[O₂Hb] variance was negatively correlated with classification accuracy in both conditions (MI-simple: r = -0.688*, p = 0.028; MI-complex: r = -0.701*, p = 0.024); (Right) Δ[O₂Hb] skewness was negatively correlated with classification accuracy in MI-simple (r = -0.850*, p = 0.032) and positively correlated in MI-complex (r = 0.854*, p = 0.031).