Fig. 5: Dominant nodes identified by the nodal rank-based approach.
a Schematic of the method used to identify dominant brain region. A dominant likelihood distribution map was obtained by a nodal rank-based approach introduced by Shafiei et al., 53 which calculated the mean maturation extents (t value from Statistical Model I) in both the focal node and its directly connected neighbors. Regions with significantly higher mean ranks (pspin < 0.05) were identified as the dominant nodes. b Dominant likelihood distribution map obtained from the nodal rank-based approach. c The dominant likelihood maps obtained using the nodal rank-based approach were spatially correlated with the map from our network-based diffusion analysis (Spearman’s r = 0.81, pspin < 0.001 against the null model, one-sided). d Dominant region map (left panel, pspin < 0.05 against the null model, one-sided) shows a high similarity to the map at the 1st neighboring scale in our network-based diffusion analysis (right panel, pspin < 0.05 against the null model, one-sided).
