Sadnicka, A; Galea, J; Edwards, MJ
(2019)
What can kinematic studies tell us about the mechanisms of dystonia?
Prog Brain Res, 249.
pp. 251-260.
ISSN 1875-7855
https://doi.org/10.1016/bs.pbr.2019.04.032
SGUL Authors: Edwards, Mark John James Sadnicka, Anna
![]() |
Microsoft Word (.docx)
Accepted Version
Restricted to Repository staff only Download (75kB) |
![]() |
Image (PNG) (Figure 1)
Accepted Version
Restricted to Repository staff only Download (473kB) |
Abstract
Clinical movement disorders are classified by an algorithm implemented by a practising movement disorder specialist based on information extracted during the history and clinical examination of a patient. Most simply, dystonia, is a classifier which is reached when a predominant abnormality of posture is noted. In this chapter we summarize studies that have used a variety of techniques to probe beyond the clinical examination and study kinematic features experimentally. We also outline our experimental work in DYT1 dystonia, a group of patients that share a genetically homogenous etiology and can be considered a prototypical dystonic disorder. Our results build on previous studies, confirming that motor variability on a trial-by-trial basis is selectively increased and provide evidence that increases in variability are negatively related to forms of motor learning essential for healthy motor control. Potential neural correlates of increased motor variability are discussed and the implications such work has for the rehabilitation of patients with dystonia are also highlighted.
Item Type: | Article | ||||
---|---|---|---|---|---|
Keywords: | Adaptation, Dystonia, Motor learning, Rehabilitation, Variability, 1109 Neurosciences, 1702 Cognitive Science, Neurology & Neurosurgery | ||||
SGUL Research Institute / Research Centre: | Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) | ||||
Journal or Publication Title: | Prog Brain Res | ||||
ISSN: | 1875-7855 | ||||
Language: | eng | ||||
Dates: |
|
||||
PubMed ID: | 31325984 | ||||
Go to PubMed abstract | |||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/111086 | ||||
Publisher's version: | https://doi.org/10.1016/bs.pbr.2019.04.032 |
Statistics
Actions (login required)
![]() |
Edit Item |