Figure 4

Behavioral relevance of region-specific changes using meta-analysis decoding. Visual representations of nodes or regions in different resting state networks (RSNs) that are significantly different (p < 0.05, FDR-corrected) between individuals with autism spectrum disorder (ASD) and typically developing individuals (TD) as captured by Forman–Ricci curvature (FRC) of the nodes, and the corresponding word clouds depicting the behavioral relevance of the nodes identified in each RSN. The size of the terms in each word cloud indicates their frequency count. Note that size of the terms in each word cloud are scaled separately and thus the frequency counts cannot be compared across word clouds. (a) Nodes in the default network that show significant differences in FRC, and the corresponding word cloud. The nodes identified in the default network are associated with tasks related to social cognition and memory. (b) Nodes in the somatomotor network that show significant differences in FRC, and the corresponding word cloud. The nodes identified in the somatomotor network are associated with tasks related to movement. (c) Nodes in the salient ventral attention network that show significant differences in FRC, and the corresponding word cloud. The nodes identified in the salient ventral attention network are associated with tasks related to movement and language. In this figure, the visualizations of brain regions are created using BrainNet Viewer¹⁰³ and the word clouds are generated using wordclouds.com (https://www.wordclouds.com).