Fig. 5: Predictive-network features are similar within data-driven behavioral domains and across brain states. | Nature Communications

Fig. 5: Predictive-network features are similar within data-driven behavioral domains and across brain states.

From: Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

Fig. 5

Both panels (A) and (B) are the same as Fig. 4, except that behavioral measures are ordered and categorized based on the data-driven clusters of cognition, personality, and mental health. These data-driven clusters were obtained by hierarchical clustering of the predictive-feature matrices (Supplementary Figs. 3–6) as indicated by the dendrogram in panel A. Clustering was performed using hierarchical agglomerative average linkage (UPGMA) clustering as implemented in scipy 1.2.1153. Supplementary Fig. 11 shows the analog of this figure, but without collapsing across either dimension of brain state or behavior. MID: monetary-incentive delay; SST: stop-signal task.

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