Figure 3
From: A visual representation of the hand in the resting somatomotor regions of the human brain
The empirical cumulative distribution functions (ECDFs) represent the correlation between rest and task category (hand/robot/glove/food) in the left somatomotor (A), right somatomotor (B), and early visual areas (C). (A) Using the KS statistic, the ANOVA shows that the distributions of correlation (red, yellow, green, blue) are significantly higher for the hand category (red distribution) in the left somatomotor area (F(3,54) = 4.194, p = .01, ηp2 = 0.189). The ANOVA does not show any significant effects for the (B) right somatomotor area (F(3,54) = 0.847, p = .47, ηp2 = 0.45) or (C) early visual area (F(3,54) = 1.133, p = .34, ηp2 = 0.059). (D–E–F). We further used the approach of19, who used the upper 90% cutoff (U90) of the distribution of correlation values to measure task-rest multivoxel pattern similarity. The boxplots represent subjects’ U90 z-scored values for the four categories. Specifically, the y-axis shows the z scores at the 90th percentile cutoff of the correlation between task and rest in the multivoxel patterns analysis, and the x-axis shows the different category groups. Each dot represents a subject. Results are shown in the left somatomotor (D), right somatomotor (E), and early visual areas (F). In the right somatomotor hand region (E), and early visual areas (F), the ANOVA showed no significant main effect of conditions (right somatomotor hand region (F(3,54) = 0.664, p = .578, ηp2 = 0.036) early visual area (F(3,54) = 1.266, p = .295, ηp2 = .066). Instead, in the left somatomotor area (D), the ANOVA shows a similar significant main effect of visual categories (F(3,54) = 4.932, p = .004, ηp2 = 0.215), where the hand stimuli yielded the strongest rest-task similarity.
