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Oculomotor behavior as a biomarker for differentiating pediatric patients with mild traumatic brain injury and age matched controls.

dc.contributor.authorHunfalvay, M.
dc.contributor.authorMurray, N. P.
dc.contributor.authorRoberts, C.
dc.contributor.authorTyagi, A.
dc.contributor.authorBarclay, K. W.
dc.contributor.authorCarrick, F. R.
dc.date.accessioned2021-09-29T17:55:41Z
dc.date.available2021-09-29T17:55:41Z
dc.date.issued2020-11-12
dc.descriptionThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en_US
dc.description.abstractImportance: Children 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. Objective: The 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. Design: This 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. Participants: The 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 (n = 165 male, n = 66 female, M age = 14.20, SD = 2.78). Results: One-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.en_US
dc.description.sponsorshipECU Open Access Publishing Support Funden_US
dc.identifier.citationHunfalvay M, Murray NP, Roberts C-M, Tyagi A, Barclay KW and Carrick FR (2020) Oculomotor Behavior as a Biomarker for Differentiating Pediatric Patients With Mild Traumatic Brain Injury and Age Matched Controls. Front. Behav. Neurosci. 14:581819. doi: 10.3389/fnbeh.2020.581819en_US
dc.identifier.doi10.3389/fnbeh.2020.581819
dc.identifier.urihttp://hdl.handle.net/10342/9438
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fnbeh.2020.581819/fullen_US
dc.subjecteye-trackingen_US
dc.subjectoculomotoren_US
dc.subjectmTBIen_US
dc.subjectconcussionen_US
dc.subjectpediateric caseen_US
dc.titleOculomotor behavior as a biomarker for differentiating pediatric patients with mild traumatic brain injury and age matched controls.en_US
dc.typeArticleen_US
ecu.journal.issue581819en_US
ecu.journal.nameFrontiers in Behavioral Neuroscienceen_US
ecu.journal.volume14en_US

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