Postural Directionality and Head Tremor in Cervical Dystonia.


Journal

Tremor and other hyperkinetic movements (New York, N.Y.)
ISSN: 2160-8288
Titre abrégé: Tremor Other Hyperkinet Mov (N Y)
Pays: England
ID NLM: 101569493

Informations de publication

Date de publication:
2020
Historique:
received: 30 10 2019
accepted: 17 12 2019
entrez: 5 2 2020
pubmed: 6 2 2020
medline: 16 11 2021
Statut: epublish

Résumé

Although abnormal head and neck postures are defining features of cervical dystonia (CD), head tremor (HT) is also common. However, little is known about the relationship between abnormal postures and HT in CD. We analyzed clinical data and video recordings from 185 patients enrolled by the Dystonia Coalition. We calculated the likelihood of their HT and HT type ("regular" vs. "jerky") given directionality of abnormal head postures, disease duration, sex, and age. Patients with retrocollis were more likely to have HT than patients with anterocollis (X We found that HT is more likely for CD patients with a specific directionality in their predominant posture. Our finding that CD patients with longer disease duration have a higher likelihood of HT also raises the question of whether HT becomes more likely over time in individual patients.

Sections du résumé

Background
Although abnormal head and neck postures are defining features of cervical dystonia (CD), head tremor (HT) is also common. However, little is known about the relationship between abnormal postures and HT in CD.
Methods
We analyzed clinical data and video recordings from 185 patients enrolled by the Dystonia Coalition. We calculated the likelihood of their HT and HT type ("regular" vs. "jerky") given directionality of abnormal head postures, disease duration, sex, and age.
Results
Patients with retrocollis were more likely to have HT than patients with anterocollis (X
Discussion
We found that HT is more likely for CD patients with a specific directionality in their predominant posture. Our finding that CD patients with longer disease duration have a higher likelihood of HT also raises the question of whether HT becomes more likely over time in individual patients.

Identifiants

pubmed: 32015932
doi: 10.7916/tohm.v0.745
pii: tre-10-745
pmc: PMC6988138
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : U54 NS116025
Pays : United States
Organisme : NCATS NIH HHS
ID : U54 TR001456
Pays : United States

Informations de copyright

© 2020 Chen et al.

Déclaration de conflit d'intérêts

Funding: This research was conducted by the Dystonia Coalition, which is part of the Rare Diseases Clinical Research Network, an initiative funded by the Office of Rare Diseases Research at the National Center for Advancing Translational Sciences (U54 TR001456) in collaboration with the National Institute of Neurological Disorders and Stroke (U54 NS065701) at the National Institutes of Health (NIH). This work was supported by the Office of the Assistant Secretary of Defense for Health Affairs, through the Peer-Reviewed Medical Research Program under Award No. W81XWH-17-1-0393. Opinions, interpretations, conclusions, and recommendations made in this article are those of the author and are not necessarily endorsed by the Department of Defense. Conflicts of Interest: The authors report no conflicts of interest. Ethics Statement: This study was performed in accordance with the ethical standards detailed in the Declaration of Helsinki. The authors’ institutional ethics committee has approved this study and all patients have provided written informed consent.

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Auteurs

Qiyu Chen (Q)

Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA.

Jeanne P Vu (JP)

Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA.

Elizabeth Cisneros (E)

Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA.

Casey N Benadof (CN)

Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA.

Zheng Zhang (Z)

Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA.

Richard L Barbano (RL)

Department of Neurology, University of Rochester, Rochester, NY, USA.

Christopher G Goetz (CG)

Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.

Joseph Jankovic (J)

Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA.

Hyder A Jinnah (HA)

Departments of Neurology and Human Genetics, Emory University, Atlanta, GA, USA.

Joel S Perlmutter (JS)

Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Departments of Psychiatry, Radiology, Neurobiology, Physical Therapy, and Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA.

Mark I Appelbaum (MI)

Department of Psychology, University of California, San Diego, La Jolla, CA, USA.

Glenn T Stebbins (GT)

Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.

Cynthia L Comella (CL)

Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.

David A Peterson (DA)

Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA.
Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.

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Classifications MeSH