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

## TL;DR

This study shows that virtual reality can detect subtle perceptual-motor impairments in veterans with concussion or mental health issues.

## Contribution

VR-based assessment is introduced as a sensitive and feasible tool for detecting residual effects of concussion in veterans.

## Key findings

- Concussion history was the strongest predictor of perceptual-motor performance deficits.
- Intraindividual variability metrics were sensitive to both concussion and mental health issues.
- VR assessments showed high statistical significance in distinguishing performance differences.

## Abstract

Background/Objectives: 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. Methods: 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. Results: 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 (p ≤ 0.001), and multivariable analyses produced AUCs of 0.950–0.870 all of which were also statistically significant (p ≤ 0.001). Incongruent movements and longer LT values were especially discriminative. Conclusions: 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.