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Updated: Jun 7, 2026

VisualEyes: A Modular Software System for Oculomotor Experimentation
Published on: March 25, 2011
Virtual reality-based oculography detects internuclear ophthalmoplegia in multiple sclerosis and other neurological
Emilie Reuter1, Justus Luerweg1, Melina Katsimpoura1
1Ruhr University Bochum, St. Josef-Hospital, Department of Neurology, Gudrunstrasse 56, 44791, Bochum, Germany.
Background:
Clinical-neurological examination may underestimate internuclear ophthalmoplegia (INO). We investigated immersive virtual reality (VR)-based eye-tracking in patients with multiple sclerosis (MS), other neurological disorders (ND), and healthy controls (HC) to detect INO.
Methods:
In this prospective monocentric study, 471 participants (243 MS, 104 ND, 124 HC) underwent horizontal prosaccade testing (± 10°, ± 20°) using VR-based oculography. INO was determined in a blinded manner based on software-generated reports comparing adduction and abduction velocities. VR-based and clinical assessments were compared using Cohen's kappa (κ). Associations with demographic and clinical variables were analyzed using logistic regression.
Results:
VR-based assessment identified 43 cases of INO (40 ND, 3 HC). Agreement between VR-based and clinical assessment was moderate (κ = 0.42; 92.5% observer agreement; n = 414). Three cases were identified clinically only, whereas 28 were detected by VR-based assessment only. Within MS, agreement was similar (κ = 0.45; 89.1% agreement; n = 238), with 23 cases detected by VR only and three clinically only. In MS, VR-based INO was associated with male sex (p = 0.035), higher expanded disability status scale (EDSS) and brainstem functional system scores (p < 0.001), longer disease duration and older age (p = 0.002), and visual complaints (p = 0.007). In multivariable analysis, disease duration (OR 1.12, 95% CI 1.01-1.24), brainstem involvement (OR 21.59, 1.30-358.07), and clinical INO (OR 8.18, 1.43-46.96) were associated with VR-based INO.
Conclusions:
VR-based eye-tracking showed moderate agreement with clinical assessment and identified additional cases of INO associated with markers of disease burden. These findings support further evaluation of VR-derived measures as complementary digital biomarkers of brainstem dysfunction.

