Temporal Changes in Fixational Eye Movements After Concussion in Adolescents and Adults: Preliminary Findings
Abstract
Concussions often involve ocular impairment and symptoms such as convergence insufficiency, accommodative insufficiency, blurred vision, diplopia, eye strain, and pain. Current clinical assessments of ocular function and symptoms rely on subjective symptom reporting and/or involve lengthy administration time. More objective, brief assessments of ocular function following concussion are warranted. The purpose of this study was to evaluate changes in fixational eye movements (FEMs) and their association with clinical outcomes including recovery time, symptoms, cognitive and vestibular/ocular motor impairment. Thirty-three athletes (13–27 years of age; 54.5% female) within 21 days of a diagnosed concussion participated in the study. A tracking scanning laser ophthalmoscope (TSLO) evaluated FEMs metrics during fixation on a center and corner target. Participants completed symptom (Post-Concussion Symptom Scale [PCSS]), cognitive (Immediate Post-concussion Assessment and Cognitive Testing [ImPACT], and Vestibular/Ocular Motor Screening (VOMS) evaluations. All measures were administered at the initial visit and following medical clearance, which was defined as clinical recovery. Changes in FEMs were calculated using paired-samples t tests. Linear regression (LR) models were used to evaluate the association of FEMs with clinical recovery. Pearson product-moment correlations were used to evaluate the associations among FEMs and clinical outcomes. On the center task, changes across time were supported for average microsaccade amplitude (p = 0.005; Cohen's d = 0.53), peak velocity of microsaccades (p = 0.01; d = 0.48), peak acceleration of microsaccades (p = 0.02; d = 0.48), duration of microsaccade (p < 0.001; d = 0.72), and drift vertical (p = 0.017; d = -0.154). The LR model for clinical recovery was significant (R2 = 0.37; p = 0.023) and retained average instantaneous drift amplitude (β = 0.547) and peak acceleration of microsaccade (β = 0.414). On the corner task, changes across time were supported for drift proportion (p = 0.03; d = 0.43). The LR model to predict clinical recovery was significant (R2 = 0.85; p = 0.004) and retained average amplitude of microsaccades (β = 2.66), peak velocity of microsaccades (β = -15.11), peak acceleration of microsaccades (β = 12.56), drift horizontal (β = 7.95), drift vertical (β = 1.29), drift amplitude (β = -8.34), drift proportion (β = 0.584), instantaneous drift direction (β = -0.26), and instantaneous drift amplitude (β = 0.819). FEMs metrics were also associated with reports of nausea and performance within the domain of visual memory. The FEMs metric were also associated with PCSS, ImPACT, and VOMS clinical concussion outcomes, with the highest magnitude correlations between average saccade amplitude and VOMS symptoms of nausea and average instantaneous drift speed and ImPACT visual memory, respectively. FEMs metrics changed across time following concussion, were useful in predicting clinical recovery, and were correlated with clinical outcomes. FEMs measurements may provide objective data to augment clinical assessments and inform prognosis following this injury.
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Funding Information
This research was supported by a grant from the National Institute of Neurological Disorders and Stroke (R44NS095090) to C. Light Technologies and the University of Pittsburgh and by a grant from C. Light Technologies, Inc., to EAR and by departmental startup funds from the University of Pittsburgh to EAR. This project was also supported by the University of Pittsburgh Clinical and Translational Science Institute, through grants from the National Institutes of Health (UL TR001857, KL2 TR001856, TL1 TR001858). This work was also supported by a National Institutes of Health Core Grant (P30 EY08098) to the University of Pittsburgh Department of Ophthalmology and an unrestricted grant to the University of Pittsburgh Department of Ophthalmology from Research to Prevent Blindness.
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Copyright 2024, Mary Ann Liebert, Inc., publishers.
History
Published in print: January 2024
Published online: 29 December 2023
Published ahead of print: 17 October 2023
Published ahead of production: 11 August 2023
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The authors contributed as follows: Ted J. Albrecht was responsible for conceptualization, statistical analysis, and writing – original draft; Bindal Makwana Mehmel was responsible for writing – review and editing; Ethan A. Rossi was responsible for conceptualization, investigation, writing – review and editing, and funding acquisition; Alicia M. Trbovich was responsible for writing - review and editing; Shawn R. Eagle was responsible for statistical analysis and methodology; and Anthony P. Kontos was responsible for conceptualization, writing – abstract, review and editing, and supervision. Bianca T. Leonard, Gregory F. Marchetti, Min Zhang, Hope M. Reecher, Valerie Snyder, and Cyndi L. Holland were participating investigators.
Author Disclosure Statement
No competing financial interests exist. Dr. Kontos receives book royalties from APA Books, and funding for his research through the University of Pittsburgh from the Centers for Disease Control and Prevention, Chuck Noll Foundation for Brain Injury Research, Department of Defense (CDMRP, USAMRAA, USUHS), National Football League, National Institutes of Health (NICHD, NIMH, NINDS), and private donors.
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