Statistical Considerations for Subjective Visual Vertical and Subjective Visual Horizontal Assessment in Normal Subjects

Author:

Balaban Carey D.1,Williams Erin23,Holland Cynthia L.4,Kiderman Alexander5,Kontos Anthony P.4,Hoffer Michael E.267

Affiliation:

1. Departments of Otolaryngology, Neurobiology, Communication Sciences and Disorders, Bioengineering, and Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA

2. Departments of Otolaryngology

3. Biomedical Engineering

4. Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA and Concussion Research Laboratory, UPMC Sports Medicine Concussion Program, University of Pittsburgh Medical Center, Pittsburgh, PA

5. Neurolign USA, Inc., Pittsburgh, PA

6. Neurological Surgery

7. Sports Performance and Wellness Institute, University of Miami, Miami, FL.

Abstract

Objectives: Judgments of the subjective visual vertical (SVV) and subjective visual horizontal (SVH) while seated upright are commonly included in standard clinical test batteries for vestibular function. We examined SVV and SVH data from retrospective control to assess their statistical distributions and normative values for magnitudes of the preset effect, sex differences, and fixed-head versus head-free device platforms for assessment. Methods: Retrospective clinical SVV and SVH data from 2 test platforms, Neuro-otologic Test Center (NOTC) and the Neurolign Dx 100 (I-Portal Portable Assessment System Nystagmograph) were analyzed statistically (SPSS and MATLAB software) for 408 healthy male and female civilians and military service members, aged 18–50 years. Results: No prominent age-related effects were observed. The preset angle effects for both SVV and SVH, and their deviations from orthogonality, agree in magnitude with previous reports. Differences attributable to interactions with device type and sex are of small magnitude. Analyses confirmed that common clinical measure for SVV and SVH, the average of equal numbers of clockwise and counterclockwise preset trials, was not significantly affected by the test device or sex of the subject. Finally, distributional analyses failed to reject the hypothesis of underlying Gaussian distributions for the clinical metrics. Conclusions: z scores based on these normative findings can be used for objective detection of outliers from normal functional limits in the clinic.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference29 articles.

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