How Eye Tracking Technology can Detect Prodromal Psychosis in Adolescents with Autism Spectrum Disorder

Key Findings: Eye tracking shows strong potential for differentiating ASD vs. Prodromal psychosis through distinct gaze patterns (fixation duration and saccadic errors) Current diagnostic challenges remain due to symptom overlap: eye tracking offers an objective and quantifiable way to differentiate between symptoms Limitations and Challenges: There is a need for more sensitive and specific biomarkers in early-stage detection Barriers to clinical adoption such as cost, accessibility, and need for large scale validation through research findings Most studies are cross sectional: longitudinal data is critical to help validate these findings Future Research Priorities: 1. multi model integration: Combine eye tracking with neuroimaging and genetic and biochemical biomarkers Machine learning and AI to help with diagnostic accuracy 2. Longitudinal Studies: Tracking biomarker progression from at risk to clinical stages 3. Clinical Translation: Scientists should develop standardized and cost-effective protocols for real world use REFERENCES