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Utilizing Eye Tracking Metrics to Detect Concussion-Related Visual Disorders

Utilizing Eye Tracking Metrics to Detect Concussion-Related Visual Disorders

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Innovative eye-tracking technology offers promising advancements in diagnosing concussion-related visual disorders, enabling early intervention and improved recovery outcomes.

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A recent study conducted by researchers at Children's Hospital of Philadelphia (CHOP) reveals that innovative eye-tracking metrics can aid in the accurate detection of vision problems associated with concussion. These vision disorders are common among patients experiencing symptoms that persist beyond 28 days after their initial head injury. Published in the Journal of Sport and Health Science, the research indicates that objective infrared eye tracking could play a crucial role in identifying which individuals need specialized concussion treatment and referrals.

In the United States, nearly two million children suffer from concussions annually. While most recover within a month, a significant proportion—up to 30%—continue to face symptoms like blurred vision, double vision, eye strain, and headaches, which can adversely affect their school performance and physical activities. Early detection of these concussion-related visual issues is vital for improving recovery outcomes.

Traditional diagnosis involves clinical visio-vestibular examinations (VVE), which consist of simple tests assessing eye movements and balance to detect visual and vestibular deficits. However, these can be complemented by infrared eye tracking, providing more objective data that enhances diagnosis accuracy, especially since comprehensive eye examinations by eye care professionals remain the gold standard.

The study evaluated 108 adolescents with persistent concussion symptoms lasting over 28 days. Participants underwent VVE, thorough vision assessments, and eye-tracking analysis. Of these, 67 (62%) were diagnosed with vision disorders linked to concussion, with convergence insufficiency—the inability to maintain proper eye alignment during near work—being the most prevalent.

A key tool used in the study was the EyeBOX device, which measures gaze patterns over multiple cycles while the patient watches a video. Higher BOX scores suggest a greater likelihood of concussion. Results demonstrated that patients with vision disorders had significantly higher average BOX scores than those without, and each 1-point increase in the score raised the odds of having a concussion-related visual issue by 15%. This underscores the potential of eye-tracking technology to augment current concussion evaluations, ensuring prompt and accurate identification of patients needing specialized intervention.

Overall, this research highlights the importance of integrating objective eye-tracking metrics into concussion assessments, facilitating earlier recognition and treatment of vision disorders that can hinder recovery and quality of life.

Source: https://medicalxpress.com/news/2025-07-eye-tracking-metrics-concussion-vision.html

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