SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

What can kinematic studies tell us about the mechanisms of dystonia?

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

[img] Microsoft Word (.docx) Accepted Version
Restricted to Repository staff only

Download (75kB)
[img] 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:
DateEvent
21 June 2019Published
PubMed ID: 31325984
Go to PubMed abstract
URI: http://sgultest.da.ulcc.ac.uk/id/eprint/111086
Publisher's version: https://doi.org/10.1016/bs.pbr.2019.04.032

Actions (login required)

Edit Item Edit Item