Evidence map›Paper›PMID 35333449›Full record

ArticleAnnals of clinical and translational neurology2022

Hold that pose: capturing cervical dystonia's head deviation severity from video.

Zheng Zhang, Elizabeth Cisneros, Ha Yeon Lee, Jeanne P Vu, Qiyu Chen, Casey N Benadof, Jacob Whitehill, Ryin Rouzbehani, Dominique T Sy, Jeannie S Huang and 12 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of clinical and translational neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Video-Based Data-Driven Models for Diagnosing Movement Disorders: Review and Future Directions.Movement disorders : official journal of the Movement Disorder Society · 2025
    Review
  7. Article
  8. Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 10 institutions in 1 country.

Zheng ZhangInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Elizabeth CisnerosInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.ORCID 0000-0001-9466-9116
Ha Yeon LeeInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Jeanne P VuInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Qiyu ChenInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Casey N BenadofInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Jacob WhitehillDepartment of Computer Science, Worcester Polytechnic Institute, Worcester, Massachusetts, USA.
Ryin RouzbehaniInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Dominique T SyInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
Jeannie S HuangDepartment of Pediatrics, University of California, San Diego, La Jolla, California, USA.
Terrence J SejnowskiComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, California, USA.
Joseph JankovicParkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, Texas, USA.
Stewart FactorDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Christopher G GoetzDepartment of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA.ORCID 0000-0003-1665-8205
Richard L BarbanoDepartment of Neurology, University of Rochester, Rochester, New York, USA.
Joel S PerlmutterDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Hyder A JinnahDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Brian D BermanDepartment of Neurology, Virginia Commonwealth University, Richmond, Virginia, USA.
Sarah Pirio RichardsonDepartment of Neurology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Glenn T StebbinsDepartment of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA.
Cynthia L ComellaDepartment of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA.
David A PetersonInstitute for Neural Computation, University of California, San Diego, La Jolla, California, USA.
University of California San Diego · USRush University Medical Center · USEmory University · USSalk Institute for Biological Studies · USBaylor College of Medicine · USUniversity of New Mexico · USUniversity of Rochester · USVirginia Commonwealth University · USWashington University in St. Louis · USWorcester Polytechnic Institute · US

Funding

Dystonia Coalition- Pilot ProjectU54NS116025 · NINDS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2019 to 2023
$7.1M
Dystonia CoalitionU54NS065701 · NINDS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2009 to 2014
$7.0M
Dystonia CoalitionU54TR001456 · NCATS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2015 to 2016
$2.5M
NCATS NIH HHS U54 TR001456NINDS NIH HHS U54 NS065701NINDS NIH HHS U54 NS116025
6 · The paper itself

Abstract

objectiveDeviated head posture is a defining characteristic of cervical dystonia (CD). Head posture severity is typically quantified with clinical rating scales such as the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS). Because clinical rating scales are inherently subjective, they are susceptible to variability that reduces their sensitivity as outcome measures. The variability could be circumvented with methods to measure CD head posture objectively. However, previously used objective methods require specialized equipment and have been limited to studies with a small number of cases. The objective of this study was to evaluate a novel software system-the Computational Motor Objective Rater (CMOR)-to quantify multi-axis directionality and severity of head posture in CD using only conventional video camera recordings.

methodsCMOR is based on computer vision and machine learning technology that captures 3D head angle from video. We used CMOR to quantify the axial patterns and severity of predominant head posture in a retrospective, cross-sectional study of 185 patients with isolated CD recruited from 10 sites in the Dystonia Coalition.

resultsThe predominant head posture involved more than one axis in 80.5% of patients and all three axes in 44.4%. CMOR's metrics for head posture severity correlated with severity ratings from movement disorders neurologists using both the TWSTRS-2 and an adapted version of the Global Dystonia Rating Scale (rho = 0.59-0.68, all p <0.001).

conclusionsCMOR's convergent validity with clinical rating scales and reliance upon only conventional video recordings supports its future potential for large scale multisite clinical trials.

Indexed as

Dystonic DisordersTorticollisCross-Sectional StudiesHumansPostureRetrospective Studies

Identifiers

PMID35333449
PMCPMC9082391
OpenAlexW4220663125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.