Literature DB >> 23707706

Finger-specific loss of independent control of movements in musicians with focal dystonia.

S Furuya1, E Altenmüller.   

Abstract

The loss of independent control of finger movements impairs the dexterous use of the hand. Focal hand dystonia is characterised by abnormal structural and functional changes at the cortical and subcortical regions responsible for individuated finger movements and by the loss of surround inhibition in the finger muscles. However, little is known about the pathophysiological impact of focal dystonia on the independent control of finger movements. Here we addressed this issue by asking pianists with and without focal dystonia to repetitively strike a piano key with one of the four fingers as fast as possible while the remaining digits kept the adjacent keys depressed. Using principal component analysis and cluster analysis to the derived keystroke data, we successfully classified pianists according to the presence or absence of dystonic symptoms with classification rates and cross-validation scores of approximately 90%. This confirmed the effects of focal dystonia on the individuated finger movements. Interestingly, the movement features that contributed to successful classification differed across fingers. Compared to healthy pianists, pianists with an affected index finger were characterised predominantly by stronger keystrokes, whereas pianists with affected middle or ring fingers exhibited abnormal temporal control of the keystrokes, such as slowness and rhythmic inconsistency. The selective alternation of the movement features indicates a finger-specific loss of the independent control of finger movements in focal dystonia of musicians.
Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ANOVA; IKI; LDA; LOOCV; MD; MIDI; Musical Instrument Digital Interface; NBC; PC1; PCA; PCs; SD; SVM; analysis of variance; fine motor control; first principal component; hand dexterity; inter-keystroke interval; leave-one-out cross-validation; linear discriminant analysis; machine learning; movement disorder; music; musicians’ dystonia; naïve Bayesian classifier; neuroplasticity; principal component analysis; principal components; standard deviation; support vector machine

Mesh:

Year:  2013        PMID: 23707706     DOI: 10.1016/j.neuroscience.2013.05.025

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  16 in total

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