Visualization and quantification of eye tracking data for the evaluation of oculomotor function.

Area of Science:

• Neuroscience
• Ophthalmology
• Psychiatry

Background:

• Oculomotor dysfunction can indicate various physical, physiological, or psychological conditions, including schizophrenia.
• Current observational tests are subjective and lack quantitative metrics.
• Existing video-based eye tracking systems fail to provide an integrated overview of gaze data, stimulus, and quantitative feedback.

Purpose of the Study:

• To develop an advanced system for objective and quantitative assessment of oculomotor dysfunction.
• To integrate eye-tracking data, visual stimuli, and quantitative metrics for comprehensive analysis.
• To aid clinicians in diagnosing disorders by identifying abnormal gaze patterns.

Main Methods:

• Development of a novel system featuring an interactive timeline for frame-by-frame analysis.
• Integration of eye video recordings, stimulus data, and gaze metrics.
• Quantitative feedback comparing patient data against typical values.

Main Results:

• The system allows for precise localization and quantification of saccadic abnormalities (under- and overshoots).
• It enables determination of the frequency and amplitude of catch-up and anticipatory saccades.
• Clinicians can objectively quantify deviations in reaction time, saccadic accuracy, and smooth pursuit gain.

Conclusions:

• The developed system offers a visual and integrated approach for analyzing oculomotor function.
• It provides objective, quantitative metrics to support clinical diagnosis of various disorders.
• The system enhances diagnostic accuracy by differentiating gaze behavior deviations from systemic errors.