Eye tracking correlated with concussion symptoms and detected convergence and accommodative abnormalities associated with concussion in the pediatric population. It demonstrates utility as a rapid, objective, noninvasive aid in the diagnosis of concussion.

Sport Concussion Assessment Tool version 3 (SCAT-3) is one of the most widely researched concussion assessment tools in athletes. Here normative data for SCAT3 in nonathletes are presented. The SCAT3 was administered to 98 nonathlete healthy controls, as well as 118 participants with head-injury and 46 participants with other body trauma (OI) presenting to the ED. Reference values were derived and classifier functions were built to assess the accuracy of SCAT3. The control population had a mean of 2.30 (SD = 3.62) symptoms, 4.38 (SD = 8.73) symptom severity score (SSS), and 26.02 (SD = 2.52) standardized assessment of concussion score (SAC). Participants were more likely to be diagnosed with a concussion (from among healthy controls) if the SSS > 7; or SSS ≤ 7 and SAC ≤22 (sensitivity = 96%, specificity = 77%). Identification of head injury patients from among both, healthy controls and body trauma was possible using rule SSS > 7 and headache or pressure in head present, or SSS ≤ 7 and SAC ≤ 22 (sensitivity = 87%, specificity = 80%). In this current study, the SCAT-3 provided high sensitivity to discriminate acute symptoms of TBI in the ED setting. Individuals with a SSS > 7 and headache or pressure in head, or SSS ≤ 7 but with a SAC ≤ 22 within 48-hours of an injury should undergo further testing.

Objective The study aims to validate eye movement tracking performed without a baseline study as a biomarker for concussion in a paediatric population.DesignThis is a cross-sectional case control study of patients diagnosed with concussion in a referral centre compared to non-concussed controls.MethodsEye movements were recorded with an SR Research Eyelink 1000 eye tracker while a 220-second video was played. Eye tracking metrics were compared to Acute Concussion Evaluation (ACE) scores and clinical assessments of convergence and accommodation.Results56 children with concussions (mean age of 13 years), as defined by symptom presence following an impulsive injury to the brain were evaluated at a mean of 22 weeks post-injury. Twelve eye tracking metrics were significantly different between concussed children and 83 uninjured controls. A model built on a balanced sub-sample to classify concussion based on eye tracking achieved an AUC of 0.854 (sensitivity 71.9%; specificity 84.4%). Two metrics were significant predictors of abnormal near point convergence (NPC) and accommodation. The model built to classify concussion based on NPC status achieved a specificity of 95.8% and a sensitivity of 57.1%. Reduced binocular amplitude of accommodation had a spearman correlation of 0.752 (p-value<0.001) with NPC. Seven eye tracking metrics were found to have a strong correlation (R=0.781) with binocular amplitude of accommodation.ConclusionsEye tracking reliably detected concussion and convergence and accommodative abnormalities in the paediatric population. We propose that eye tracking without baseline assessment may serve as an objective measure of concussion in paediatric patients. Competing interestsUzma Samadani has submitted intellectual property describing the technology utilised in this paper.These patents are owned by NYU, the VA and HCMC and licensed to Oculogica Inc., a company in which all of the above parties have an equity interest