ArticleFrontiers in behavioral neuroscience2020
Oculomotor Behavior as a Biomarker for Differentiating Pediatric Patients With Mild Traumatic Brain Injury and Age Matched Controls.
Article in Frontiers in behavioral neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Age- and Sex-Based Developmental Biomarkers in Eye Movements.Brain sciences · 2024Article
- (The limits of) eye-tracking with iPads.Journal of vision · 2024Article
- Autonomic nervous system dysfunction in pediatric sport-related concussion: a systematic review.The Journal of the Canadian Chiropractic Association · 2023Article
- An update on pediatric traumatic brain injury.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2023Review
- Review: Emerging Eye-Based Diagnostic Technologies for Traumatic Brain Injury.IEEE reviews in biomedical engineering · 2023Review
- Long-Term Effects of Low-Level Blast Exposure and High-Caliber Weapons Use in Military Special Operators.Brain sciences · 2022Article
- Application of Eye Tracking Technology in Medicine: A Bibliometric Analysis.Vision (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
importanceChildren have the highest incidence of mild traumatic brain injury (mTBI) in the United States. However, mTBI, specifically pediatric patients with mTBI, are notoriously difficult to detect, and with a reliance on traditional, subjective measurements of eye movements, the subtle but key oculomotor deficits are often missed.
objectiveThe purpose of this project is to determine if the combined measurement of saccades, smooth pursuit, fixations and reaction time represent a biomarker for differentiating pediatric patients with mild traumatic brain injury compared to age matched controls.
designThis study used cross-sectional design. Each participant took part in a suite of tests collectively labeled the "Brain Health EyeQ" to measure saccades, smooth pursuit, fixations and reaction time.
participantsThe present study recruited 231 participants - 91 clinically diagnosed with a single incident mTBI in the last 2 days as assessed by both the Glasgow Coma Scale (GCS) and Graded Symptoms Checklist (GSC), and 140 age and gender-matched controls (
resultsOne-way univariate analyses of variance examined the differences in performance on the tests between participants with mTBI and controls. ROC curve analysis examined the sensitivity and specificity of the tests. Results indicated that together, the "Brain Health EyeQ" tests were successfully able to identify participants with mTBI 75.3% of the time, providing further validation to a growing body of literature supporting the use of eye tracking technology for mTBI identification and diagnosis.
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