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Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease

BACKGROUND: Involuntary central oscillations at single and double tremor frequencies drive the peripheral neuromechanical system of muscles and joints to cause tremor in Parkinson’s disease (PD). The central signal of double tremor frequency was found to correlate more directly to individual muscle...

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Autores principales: He, Xin, Hao, Man-Zhao, Wei, Ming, Xiao, Qin, Lan, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666195/
https://www.ncbi.nlm.nih.gov/pubmed/26628267
http://dx.doi.org/10.1186/s12984-015-0101-x
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author He, Xin
Hao, Man-Zhao
Wei, Ming
Xiao, Qin
Lan, Ning
author_facet He, Xin
Hao, Man-Zhao
Wei, Ming
Xiao, Qin
Lan, Ning
author_sort He, Xin
collection PubMed
description BACKGROUND: Involuntary central oscillations at single and double tremor frequencies drive the peripheral neuromechanical system of muscles and joints to cause tremor in Parkinson’s disease (PD). The central signal of double tremor frequency was found to correlate more directly to individual muscle EMGs (Timmermann et al. 2003). This study is aimed at investigating what central components of oscillation contribute to inter-muscular synchronization in a group of upper extremity muscles during tremor in PD patients. METHODS: 11 idiopathic, tremor dominant PD subjects participated in this study. Joint kinematics during tremor in the upper extremity was recorded along with EMGs of six upper arm muscles using a novel experimental apparatus. The apparatus provided support for the upper extremity on a horizontal surface with reduced friction, so that resting tremor in the arm can be recorded with a MotionMonitor II system. In each subject, the frequencies of rhythmic firings in upper arm muscles were determined using spectral analysis. Paired and pool-averaged coherence analyses of EMGs for the group of muscles were performed to correlate the level of inter-muscular synchronization to tremor amplitudes at shoulder and elbow. The phase shift between synchronized antagonistic muscle pairs was calculated to aid coherence analysis in the muscle pool. RESULTS: Recorded EMG revealed that rhythmic firings were present in most recorded muscles, which were either synchronized to form phase-locked bursting cycles at a subject specific frequency, or unsynchronized with a random phase distribution. Paired coherence showed a stronger synchronization among a subset of recorded arm muscles at tremor frequency than that at double tremor frequency. Furthermore, the number of synchronized muscles in the arm was positively correlated to tremor amplitudes at elbow and shoulder. Pool-averaged coherence at tremor frequency also showed a better correlation with the amplitude of resting tremor than that of double tremor frequency, indicating that the neuromechanical coupling in peripheral neuromuscular system was stronger at tremor frequency. CONCLUSIONS: Both paired and pool-averaged coherences are more consistent indexes to correlate to tremor intensity in a group of upper extremity muscles of PD patients. The central drive at tremor frequency contributes mainly to synchronize peripheral muscles in the modulation of tremor intensity.
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spelling pubmed-46661952015-12-02 Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease He, Xin Hao, Man-Zhao Wei, Ming Xiao, Qin Lan, Ning J Neuroeng Rehabil Research BACKGROUND: Involuntary central oscillations at single and double tremor frequencies drive the peripheral neuromechanical system of muscles and joints to cause tremor in Parkinson’s disease (PD). The central signal of double tremor frequency was found to correlate more directly to individual muscle EMGs (Timmermann et al. 2003). This study is aimed at investigating what central components of oscillation contribute to inter-muscular synchronization in a group of upper extremity muscles during tremor in PD patients. METHODS: 11 idiopathic, tremor dominant PD subjects participated in this study. Joint kinematics during tremor in the upper extremity was recorded along with EMGs of six upper arm muscles using a novel experimental apparatus. The apparatus provided support for the upper extremity on a horizontal surface with reduced friction, so that resting tremor in the arm can be recorded with a MotionMonitor II system. In each subject, the frequencies of rhythmic firings in upper arm muscles were determined using spectral analysis. Paired and pool-averaged coherence analyses of EMGs for the group of muscles were performed to correlate the level of inter-muscular synchronization to tremor amplitudes at shoulder and elbow. The phase shift between synchronized antagonistic muscle pairs was calculated to aid coherence analysis in the muscle pool. RESULTS: Recorded EMG revealed that rhythmic firings were present in most recorded muscles, which were either synchronized to form phase-locked bursting cycles at a subject specific frequency, or unsynchronized with a random phase distribution. Paired coherence showed a stronger synchronization among a subset of recorded arm muscles at tremor frequency than that at double tremor frequency. Furthermore, the number of synchronized muscles in the arm was positively correlated to tremor amplitudes at elbow and shoulder. Pool-averaged coherence at tremor frequency also showed a better correlation with the amplitude of resting tremor than that of double tremor frequency, indicating that the neuromechanical coupling in peripheral neuromuscular system was stronger at tremor frequency. CONCLUSIONS: Both paired and pool-averaged coherences are more consistent indexes to correlate to tremor intensity in a group of upper extremity muscles of PD patients. The central drive at tremor frequency contributes mainly to synchronize peripheral muscles in the modulation of tremor intensity. BioMed Central 2015-12-01 /pmc/articles/PMC4666195/ /pubmed/26628267 http://dx.doi.org/10.1186/s12984-015-0101-x Text en © He et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
He, Xin
Hao, Man-Zhao
Wei, Ming
Xiao, Qin
Lan, Ning
Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease
title Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease
title_full Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease
title_fullStr Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease
title_full_unstemmed Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease
title_short Contribution of inter-muscular synchronization in the modulation of tremor intensity in Parkinson’s disease
title_sort contribution of inter-muscular synchronization in the modulation of tremor intensity in parkinson’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666195/
https://www.ncbi.nlm.nih.gov/pubmed/26628267
http://dx.doi.org/10.1186/s12984-015-0101-x
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