Extended Data Fig. 6 |. RCCA and clustering analysis using the Craddock 200 atlas yields ASD subgroups with clinical symptoms and atypical connectivity consistent when analyzed using the Power atlas.

We reparcellated the brains using the Craddock 200 atlas⁶⁹, recalculated functional connectivity for each subject, and repeated the full analysis following the original pipeline (feature selection, RCCA, clustering, and PLS). Key findings from the primary analysis using the Power parcellation replicate in this secondary analysis using the Craddock atlas. Here we plot the clinical symptom scores (boxplots as in Extended Data Fig. 5) for each subgroup when (a-d) we used the Craddock 200 parcellation for functional connectivity versus (i-l) the Power parcellation for functional connectivity (main text analysis). Next, we measured atypical connectivity using the Craddock parcellation and mapped it onto the Power atlas for visual comparison between the two parcellations. We plot the atypical connectivity for each subgroup for (e-h) the analysis in the Craddock 200 parcellation thresholded the significant connections from the Power parcellation, and (m-p) the analysis in the Power atlas. Heatmaps show patterns of atypical connectivity in each subgroup across brain regions (rows) and functional networks (columns). Thresholded for significant atypical connectivity (two-sided Welch’s t-test, FDR < 0.05), each evaluated separately relative to N = 907 neurotypical controls. For additional results, see Supplementary Figs. 15, 16.