Intraindividual Variability in Perceptual-Motor Performance Measured with Virtual Reality Among Military Veterans

<b>Background/Objectives:</b> Concussions produce a wide array of symptoms that are often subtle and difficult to quantify. One such symptom involves reaction or response time (RT), consisting of perceptual latency time (LT) and movement time (MT). This pilot study examined the relationship between concussion history, mental health, and perceptual-motor performance among military veterans using a virtual reality (VR)-based assessment. The primary outcome was intraindividual variability (IIV), defined as the standard deviation of an individual's responses across repeated trials. <b>Methods:</b> Of 78 veterans who volunteered, 29 (22 males, 7 females) provided complete VR data. Participants completed surveys assessing concussion and combat history, mental health issues, and suicide ideation. During VR testing, participants responded to 40 trials requiring neck rotation, arm reach, and a step toward left or right virtual targets. Associations between predictors (e.g., concussion, mental health) and VR outcomes (RT, LT, IIV) were evaluated using Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) values. <b>Results:</b> Concussion history was the strongest predictor of performance deficits. IIV metrics were sensitive indicators of both concussion and mental health issues. Univariable analyses yielded AUC values of 0.944-0.806 all of which were statistically significant (<i>p</i> ≤ 0.001), and multivariable analyses produced AUCs of 0.950-0.870 all of which were also statistically significant (<i>p</i> ≤ 0.001). Incongruent movements and longer LT values were especially discriminative. <b>Conclusions:</b> Veterans with concussion and mental health histories demonstrated quantifiable perceptual-motor impairments in VR environments. Findings support VR assessment as a feasible, sensitive tool for detecting subtle residual effects of concussion.

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Publication Details

Journal
Brain Sciences
Published
2026-02-03
DOI
https://doi.org/10.3390/brainsci16020185
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
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article

Intraindividual Variability in Perceptual-Motor Performance Measured with Virtual Reality Among Military Veterans

Rachel Wilkins, Cheryl Knight, Kendall Youngman, S. L. Bruce et al.
Brain Sciences
Traumatic Brain Injury Research
article

Intraindividual Variability in Perceptual-Motor Performance Measured with Virtual Reality Among Military Veterans

Rachel Wilkins, Cheryl Knight, Kendall Youngman, S. L. Bruce, Audrey M. Folsom, Michael N. Cooper, Amy Shollenbarger, Roshan Wade, Stacy E. Walz, Carlitta M. Moore, Carly Farmer, Rebbecca Wellborn, Johnathon A. Mullins, Melanie Fulton, Jana Haskins
article en

Abstract

<b>Background/Objectives:</b> Concussions produce a wide array of symptoms that are often subtle and difficult to quantify. One such symptom involves reaction or response time (RT), consisting of perceptual latency time (LT) and movement time (MT). This pilot study examined the relationship between concussion history, mental health, and perceptual-motor performance among military veterans using a virtual reality (VR)-based assessment. The primary outcome was intraindividual variability (IIV), defined as the standard deviation of an individual's responses across repeated trials. <b>Methods:</b> Of 78 veterans who volunteered, 29 (22 males, 7 females) provided complete VR data. Participants completed surveys assessing concussion and combat history, mental health issues, and suicide ideation. During VR testing, participants responded to 40 trials requiring neck rotation, arm reach, and a step toward left or right virtual targets. Associations between predictors (e.g., concussion, mental health) and VR outcomes (RT, LT, IIV) were evaluated using Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) values. <b>Results:</b> Concussion history was the strongest predictor of performance deficits. IIV metrics were sensitive indicators of both concussion and mental health issues. Univariable analyses yielded AUC values of 0.944-0.806 all of which were statistically significant (<i>p</i> ≤ 0.001), and multivariable analyses produced AUCs of 0.950-0.870 all of which were also statistically significant (<i>p</i> ≤ 0.001). Incongruent movements and longer LT values were especially discriminative. <b>Conclusions:</b> Veterans with concussion and mental health histories demonstrated quantifiable perceptual-motor impairments in VR environments. Findings support VR assessment as a feasible, sensitive tool for detecting subtle residual effects of concussion.

Brain SciencesVol. 16(2)
Arkansas State University (US)
Reduced inequalities
Openalex Percentile: Top 67%
Traumatic Brain Injury Research
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