Sadnicka, A; Stevenson, A; Bhatia, KP; Rothwell, JC; Edwards, MJ; Galea, JM
(2018)
High motor variability in DYT1 dystonia is associated with impaired visuomotor adaptation.
Sci Rep, 8 (1).
p. 3653.
ISSN 2045-2322
https://doi.org/10.1038/s41598-018-21545-0
SGUL Authors: Sadnicka, Anna
Abstract
For the healthy motor control system, an essential regulatory role is maintaining the equilibrium between keeping unwanted motor variability in check whilst allowing informative elements of motor variability. Kinematic studies in children with generalised dystonia (due to mixed aetiologies) show that movements are characterised by increased motor variability. In this study, the mechanisms by which high motor variability may influence movement generation in dystonia were investigated. Reaching movements in the symptomatic arm of 10 patients with DYT1 dystonia and 12 age-matched controls were captured using a robotic manipulandum and features of motor variability were extracted. Given that task-relevant variability and sensorimotor adaptation are related in health, markers of variability were then examined for any co-variance with performance indicators during an error-based learning visuomotor adaptation task. First, we confirmed that motor variability on a trial-by-trial basis was selectively increased in the homogenous and prototypical dystonic disorder DYT1 dystonia. Second, high baseline variability predicted poor performance in the subsequent visuomotor adaptation task offering insight into the rules which appear to govern dystonic motor control. The potential mechanisms behind increased motor variability and its corresponding implications for the rehabilitation of patients with DYT1 dystonia are highlighted.
Item Type: |
Article
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Additional Information: |
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
© The Author(s) 2018 |
SGUL Research Institute / Research Centre: |
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) > Neuroscience (INCCNS) |
Journal or Publication Title: |
Sci Rep |
ISSN: |
2045-2322 |
Language: |
eng |
Dates: |
Date | Event |
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26 February 2018 | Published | 6 February 2018 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
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PubMed ID: |
29483592 |
Web of Science ID: |
WOS:000426045700074 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/109672 |
Publisher's version: |
https://doi.org/10.1038/s41598-018-21545-0 |
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