How Eye Tracking Technology can Detect Prodromal Psychosis in Adolescents with Autism Spectrum Disorder
Year: 2025
Type: dataset
Abstract: 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
Author: Ethan Terman
Institution: New York University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4409654757