Kaohsiung Medical University
Kaohsiung City, Sanmin District, 807378, Taiwan
NCT Number: NCT06634576
Background and Purpose: The assessment of ocular motor control through the manipulation of diverse sensory stimuli can facilitate the diagnosis of dizziness. However, the testing process typically encompasses a single rotational axis. This study aims to investigate the performance of ocular motor control under multi-axis neck rotation postures. To verify the data quality performance and reliability of the custom-made ocular motor features detection system, validate the consistency of system eye movement parameters, and investigate the effect of different neck plane positions on tracking performance. Methods: A total of seven healthy volunteers participated in this study. The study involved ocular motor tracking tasks in different neck positions with all seven subjects, A total of seven subjects were examined, comprising neutral neck posture, left lateral flexion posture, right lateral flexion posture, neck extension posture, neck flexion posture, left neck torsion posture, and right neck torsion posture. The study evaluated eye movement parameters in different planes, including Gain (representing pursuit speed), SPNTD (representing pursuit differences across planes), Accuracy (representing pursuit accuracy), and Latency (representing pursuit latency), as well as the reliability of these parameters. The reliability of the parameters was verified using the intraclass coefficient (ICC). Non-parametric tests (Friedman test) were used to verify the performance of ocular motor tracking in different neck positions, and post-hoc analysis (Wilcoxon sign test) was used to verify statistical differences.
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Notify Me20 year–60 year
All sexes
Interventional
Not applicable
Kaohsiung City, Sanmin District, 807378, Taiwan
The assessment of ocular motor control through the manipulation of various sensory stimuli helps diagnose dizziness. However, most existing tests focus solely on a single rotational axis. This study aims to evaluate the performance of ocular motor control under multi-axis neck rotation postures. The research objective was integrated the desktop eye tracker with a six-axis Stewart platform to establish an ocular motor features detection system. This system will be used to validate the consistency of the system in ocular motor parameters and explore how different neck plane positions affect tracking performance.
Methods:
The smooth pursuit task was conducted under seven different neck postures:
Participants were asked to track a light point moving horizontally across the screen in a sinusoidal trajectory. The target's movement was designed based on Simple Harmonic Motion (SHM) to allow for smooth, continuous movement that minimizes abrupt stops, which can trigger saccadic eye movements (quick, jerky movements). SHM was chosen because it better matches the natural movement of smooth pursuit eye tracking.
The target speed was set at 30° per second, and the amplitude of the target's movement ranged from 30° to 40°, based on previous studies indicating that these values were optimal for distinguishing between healthy individuals and those with vestibular or cervical dysfunction. The task required participants to follow the moving target as closely and smoothly as possible, while their eye movements were recorded using the Gaze-point 3 (GP3) eye tracker, which sampled at 60Hz.
Key Parameters Recorded:
Data Analysis:
The reliability of the system and the parameters mentioned above were evaluated using the Intraclass Correlation Coefficient (ICC). The ICC was calculated for gain, SPNTD, accuracy, and latency to assess how consistently the participants; smooth pursuit performance could be measured across different neck postures.
Additionally, a Friedman test (a non-parametric test) was conducted to determine whether there were statistically significant differences in smooth pursuit performance across the various neck postures. For positions that showed significant differences, Wilcoxon signed-rank tests (a post-hoc analysis) were applied to identify which specific neck postures resulted in significant changes in smooth pursuit performance.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Used custom-made system to stimulate the procedure of smooth pursuit neck torsion test in the current study, the multiple axis motion platform can adjust the neck postures to three different neck motion planes, seven different neck postures.
Time frame: From enrollment to the end of research at 1 day.
The custom-made system would output four parameters in this study. Used Intraclass correlation coefficient (ICC) to examine the reliability of pursuit parameters.
Time frame: From enrollment to the end of treatment at 1 day
A custom-made system would change the neck posture in seven different neck postures. Used nonparametric(Friedman test) to analyze the pursuit ability in seven different neck postures, if the results were significant(p-value less than 0.05), used Wilcoxon sign rank to be the posthoc test.
Kaohsiung Medical University
Other
Acronym: Ocular motor
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