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. Author manuscript; available in PMC: 2024 Mar 18.
Published in final edited form as: Biol Psychiatry. 2022 Apr 25;92(8):626–642. doi: 10.1016/j.biopsych.2022.04.008

Figure 4.

Figure 4.

Dimensional prediction of autism symptoms. (A) Models predictive of autism symptoms are built on training data and then validated on left-out testing data within the same dataset. Predicted symptom scores from this process are shown on the y-axis; observed symptom scores are shown on the x-axis. (B) Post hoc visualization of predictive functional features (data are summarized at the node level and are shaded according to degree). (C) Application of the predictive model derived from autism symptoms to an external dataset to predict attention-deficit/hyperactivity disorder (ADHD) symptoms in young children. ADOS, Autism Diagnostic Observation Schedule; BA, Brodmann area; ROI, region of interest [as defined in (33)]; SRS, Social Responsiveness Scale. Adapted with permission from (27).