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• W4280496866 abstract "While standard graph-theoretic measures have been widely used to characterize atypical resting-state functional connectivity in autism spectrum disorder (ASD), geometry-inspired network measures have not been applied. In this study, we apply Forman-Ricci and Ollivier-Ricci curvatures to compare networks of ASD and typically developing individuals (N = 1112) from the Autism Brain Imaging Data Exchange I (ABIDE-I) dataset. We find brain-wide and region-specific ASD-related differences for both Forman-Ricci and Ollivier-Ricci curvatures, with region-specific differences concentrated in Default Mode, Somatomotor and Ventral Attention networks for Forman-Ricci curvature. We use meta-analysis decoding to demonstrate that brain regions with curvature differences are associated to those cognitive domains known to be impaired in ASD. Further, we show that brain regions with curvature differences overlap with those brain regions whose non-invasive stimulation improves ASD-related symptoms. These results suggest the utility of graph Ricci curvatures in characterizing atypical connectivity of clinically relevant regions in ASD and other neurodevelopmental disorders." @default.
• W4280496866 created "2022-05-22" @default.
• W4280496866 creator A5003277513 @default.
• W4280496866 creator A5031877647 @default.
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• W4280496866 creator A5072990982 @default.
• W4280496866 creator A5082683740 @default.
• W4280496866 creator A5086332166 @default.
• W4280496866 date "2022-05-18" @default.
• W4280496866 modified "2023-09-30" @default.
• W4280496866 title "Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder" @default.
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