Extended Data Fig. 3: Robustness of synergy and redundancy network results (efficiency, modularity, and within- vs between-resting state subnetwork comparison) to alternative node and edge definitions.
From: A synergistic core for human brain evolution and cognition
(a-d) Robustness of network results to the use of the 308-ROI cortical parcellation. (e-h) Robustness of network results to using synergy and redundancy normalised by TDMI. (i-l) Robustness of network results to using synergy and redundancy obtained from discretised signals. For all violin plots: each colored circle represents one subject; white circle: median; central line: mean; box limits, upper and lower quartiles; whiskers, 1.5x inter-quartile range; *** p < 0.001 from paired-sample non-parametric permutation t-test (two-sided); n = 100 unrelated HCP subjects. For all box-plots: white circle, median; box limits, upper and lower quartiles; whiskers, 1.5x inter-quartile range; *** p < 0.001 from two-sample non-parametric permutation t-test (two-sided). For (c-d) and (k-l), Within-RSN n=7178 connections; Between-RSN n=46414 connections. For (g) and (h), Within-RSN n=14784 connections; Between-RSN n=79772 connections.
