Abstract Refining the classification of autism spectrum disorder (ASD) subtypes is essential for advancing personalized interventions strategies, given the substantial heterogeneity in phenotypic clinical symptoms among individuals with ASD. Thus, the current study integrated normative modeling, resting-state fMRI data, clinical assessment, and eye-gaze patterns to investigate potential ASD subtypes.