Fig. 4: The regional prediction contribution of high-frequency eigenmodes. | Nature Communications

Fig. 4: The regional prediction contribution of high-frequency eigenmodes.

From: Enhanced brain structure-function tethering in transmodal cortex revealed by high-frequency eigenmodes

Fig. 4

a A wide distribution of node-wise Pearson correlation R across 1000 nodes. b The corresponding brain map where nodes are colored from blue to red in increasing order of R values. c Node-wide R values (n = 1000 nodes) aggregated by 7 resting-state networks (RSNs). The boxplot shows the medians (circles), interquartile ranges (boxes), and min to max range (whiskers). d The average R value of each RSN is compared with those calculated after random permutation of nodes’ assignments (10,000 repetitions). e The distribution of well-predicted nodes across seven RSNs is compared with the distribution of network size. f The spatial distribution of z scores within each RSN. Source data are provided as a Source Data file.

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