Citation

Bonnette S, Diekfuss JA, Grooms DR, Myer GD, Meehan WP, Howell DR. Neurosci. Lett. 2020; ePub(ePub): ePub.

Affiliation

Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave Cincinnati, 3018520639, United States.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.neulet.2020.134975

PMID

32298725

Abstract

Postural sway is significantly affected by a mild traumatic brain injury, or concussion, and myriad methods have been developed to quantify the severity of concussion symptoms. The current manuscript quantifies postural sway-as measured by an inertial sensor-in youth athletes with concussion (n = 43, age = 14.4 ± 2.3 years, 56% female, tested median 7 days post-concussion) and healthy controls (n = 38, age = 14.9 ± 2.0 years, 55% female) during single-task and dual-task postural sway. A nonlinear analysis (i.e., recurrence quantification analysis [RQA]) and several common linear measures were used to quantify postural sway. Respectively, the two complementary types of analyses describe the structure and magnitude of postural sway. We hypothesized that participants who recently experienced a concussion would display differing postural sway dynamics (i.e., different in structure and magnitude) than control participants who had not experienced a concussion. Additionally, a logistic regression was performed to determine which combination of variables (nonlinear and linear) and task (single and dual) would best differentiate concussion and control participants. Significant differences between concussion and control participants were found in percent determinism, laminarity, and standard deviation of postural sway acceleration in both the single and the dual task. In the single task alone, mean diagonal line length and trapping time were additionally significantly different between groups. Moreover, the logistic regression model revealed that a mixture of linear and nonlinear measures across both single and dual tasks best classified concussed and non-concussed participants. Additionally, history of concussion was found to be a significant covariate in the model. These results extend past observations by demonstrating that a combination of posture sway tasks and measurements best differentiate participants with a concussion. These results highlight the need for future studies to replicate the findings in different populations and further determine which combinations of postural sway tasks and measurements best classify participants with concussions.

Copyright © 2020. Published by Elsevier B.V.

Language: en

Keywords

Inertial Sensors; Mild Traumatic Brain Injury (mTBI); Postural Control; Recurrence Quantification Analysis (RQA)