Citation

Sadnicka A, Galea J, Edwards MJ. Prog. Brain Res. 2019; 249: 251-260.

Affiliation

Motor Control and Movement Disorder Group, Institute of Molecular and Clinical Sciences, St George's University of London, London, United Kingdom.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/bs.pbr.2019.04.032

PMID

31325984

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.

© 2019 Elsevier B.V. All rights reserved.

Language: en

Keywords

Adaptation; Dystonia; Motor learning; Rehabilitation; Variability