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Assessment of Static Graviceptive Perception in the Roll-Plane using the Subjective Visual Vertical Paradigm
Published on: April 28, 2020
Static Subjective Visual Vertical in Healthy Volunteers: The Effects of Different Preset Angle Deviations and
J Venhovens1, J Meulstee2, W I M Verhagen2
1Department of Neurology and Clinical Neurophysiology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands; Department of Neurology and Clinical Neurophysiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
The static subjective visual vertical (SVV) is affected by the side of the preset angle but not its deviation. While stable in groups, individual SVV measurements show significant variability.
Area of Science:
- Neuroscience
- Ophthalmology
- Vestibular System
Background:
- The subjective visual vertical (SVV) is a key indicator of otolith function.
- Assessing the static SVV provides insights into spatial orientation and balance.
Purpose of the Study:
- To investigate the influence of preset angle side and deviation on static SVV measurements.
- To evaluate the test-retest reliability of static SVV in healthy volunteers.
- To describe a robust protocol for static SVV assessment.
Main Methods:
- Static SVV was assessed in 24 healthy volunteers using preset angles of 10, 20, and 30 degrees.
- Test-retest reliability was evaluated in 20 volunteers over a 1-week interval.
- Statistical analysis included the Wilcoxon test and intraclass correlation coefficient (ICC).
Main Results:
- Static SVV results were significantly influenced by the side of the preset angle (p ≤ 0.001).
- Preset angle deviation did not significantly affect static SVV outcomes.
- Group-level test-retest results were stable, but individual-level variability was statistically relevant (ICC range: -0.240 to 0.508).
Conclusions:
- The side of the preset angle is a critical factor in static SVV assessment.
- While reliable at a group level, individual static SVV measurements exhibit notable variability.
- A standardized protocol is essential for consistent and robust static SVV evaluation.
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