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Updated: Sep 29, 2025
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Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
Published on: January 27, 2018
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Hold that pose: capturing cervical dystonia's head deviation severity from video.
Zheng Zhang1, Elizabeth Cisneros1, Ha Yeon Lee1
1Institute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Annals of Clinical and Translational Neurology
|March 25, 2022
Summary
A new software system, the Computational Motor Objective Rater (CMOR), objectively measures cervical dystonia (CD) head posture using video. This technology offers a reliable, accessible method for assessing CD severity in clinical trials.
Area of Science:
- Neurology
- Biomedical Engineering
- Medical Technology
Background:
- Cervical dystonia (CD) is characterized by deviated head posture.
- Clinical rating scales for CD are subjective and prone to variability.
- Objective measurement of CD head posture is needed for sensitive outcome measures.
Purpose of the Study:
- To evaluate the Computational Motor Objective Rater (CMOR) software for quantifying head posture in cervical dystonia.
- To assess CMOR's ability to measure multi-axis directionality and severity using conventional video recordings.
Main Methods:
- A retrospective, cross-sectional study of 185 patients with isolated CD.
- Utilized CMOR, a computer vision and machine learning system, to capture 3D head angles from video.
- Quantified axial patterns and severity of head posture.
Main Results:
- Most CD patients (80.5%) exhibited head posture involving multiple axes.
- CMOR's head posture severity metrics showed significant correlation with clinical ratings (TWSTRS-2, GDSR) (rho = 0.59–0.68, p < 0.001).
Conclusions:
- CMOR demonstrates convergent validity with established clinical rating scales.
- The system's reliance on conventional video supports its potential for large-scale, multisite clinical trials in CD.
