Literature DB >> 25727899

Signal features of surface electromyography in advanced Parkinson's disease during different settings of deep brain stimulation.

Saara M Rissanen1, Verneri Ruonala2, Eero Pekkonen3, Markku Kankaanpää4, Olavi Airaksinen5, Pasi A Karjalainen2.   

Abstract

OBJECTIVE: Electromyography (EMG) and acceleration (ACC) measurements are potential methods for quantifying efficacy of deep brain stimulation (DBS) treatment in Parkinson's disease (PD). The treatment efficacy depends on the settings of DBS parameters (pulse amplitude, frequency and width). This study quantified, if EMG and ACC signal features differ between different DBS settings and if DBS effect is unequal between different muscles.
METHODS: EMGs were measured from biceps brachii (BB) and tibialis anterior (TA) muscles of 13 PD patients. ACCs were measured from wrists. Measurements were performed during seven different settings of DBS and analyzed using methods based on spectral analysis, signal morphology and nonlinear dynamics.
RESULTS: The results showed significant within-subject differences in the EMG signal kurtosis, correlation dimension, recurrence rate and EMG-ACC coherence between different DBS settings for BB but not for TA muscles. Correlations between EMG feature values and clinical rest tremor and rigidity scores were weak but significant.
CONCLUSIONS: Surface EMG features differed between different DBS settings and DBS effect was unequal between upper and lower limb muscles. SIGNIFICANCE: EMG changes pointed to previously defined optimal settings in most of patients, which should be quantified even more deeply in the upcoming studies.
Copyright © 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Deep brain stimulation (DBS); Nonlinear dynamics; Parkinson’s disease (PD); Surface electromyography (EMG)

Mesh:

Year:  2015        PMID: 25727899     DOI: 10.1016/j.clinph.2015.01.021

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  7 in total

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Review 2.  Alternate Subthalamic Nucleus Deep Brain Stimulation Parameters to Manage Motor Symptoms of Parkinson's Disease: Systematic Review and Meta-analysis.

Authors:  Zachary J Conway; Peter A Silburn; Wesley Thevathasan; Karen O' Maley; Geraldine A Naughton; Michael H Cole
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Journal:  Front Neurol       Date:  2017-08-11       Impact factor: 4.003

4.  Electromyography Biomarkers for Quantifying the Intraoperative Efficacy of Deep Brain Stimulation in Parkinson's Patients With Resting Tremor.

Authors:  Kai-Liang Wang; Mathew Burns; Dan Xu; Wei Hu; Shi-Ying Fan; Chun-Lei Han; Qiao Wang; Shimabukuro Michitomo; Xiao-Tong Xia; Jian-Guo Zhang; Feng Wang; Fan-Gang Meng
Journal:  Front Neurol       Date:  2020-02-26       Impact factor: 4.003

5.  Changes in elbow flexion EMG morphology during adjustment of deep brain stimulator in advanced Parkinson's disease.

Authors:  Verneri Ruonala; Eero Pekkonen; Olavi Airaksinen; Markku Kankaanpää; Pasi A Karjalainen; Saara M Rissanen
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.240

Review 6.  A Systematic Survey of Research Trends in Technology Usage for Parkinson's Disease.

Authors:  Ranadeep Deb; Sizhe An; Ganapati Bhat; Holly Shill; Umit Y Ogras
Journal:  Sensors (Basel)       Date:  2022-07-23       Impact factor: 3.847

7.  Levodopa-Induced Changes in Electromyographic Patterns in Patients with Advanced Parkinson's Disease.

Authors:  Verneri Ruonala; Eero Pekkonen; Olavi Airaksinen; Markku Kankaanpää; Pasi A Karjalainen; Saara M Rissanen
Journal:  Front Neurol       Date:  2018-02-05       Impact factor: 4.003

  7 in total

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