Figure 1.

Predictive modeling applications in autism. (A) Prediction-based approaches can serve two needs in autism research: they can help to disentangle the complex brain-based features giving rise to autism symptomatology (biological insight) or be used to potentially inform decisions related to providing care for individuals with autism (clinical utility). Because brain-based insights and clinically useful models are interdependent, their discussion is interwoven throughout the manuscript. (B) Three frameworks for prediction-based modeling using functional connectivity data that we discuss in this review: case-control classification, dimensional prediction, and subtyping. Dim., dimension.