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

Saara M Rissanen; Verneri Ruonala; Eero Pekkonen; Markku Kankaanpää; Olavi Airaksinen; Pasi A Karjalainen

doi:10.1016/j.clinph.2015.01.021

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

Clin Neurophysiol. 2015 Dec;126(12):2290-8. doi: 10.1016/j.clinph.2015.01.021. Epub 2015 Feb 16.

Authors

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

Affiliations

¹ Department of Applied Physics, University of Eastern Finland, Finland. Electronic address: saara.rissanen@uef.fi.
² Department of Applied Physics, University of Eastern Finland, Finland.
³ Department of Neurology, Helsinki University Central Hospital, Finland; BioMag Laboratory, Helsinki University Central Hospital, Finland.
⁴ Department of Physical and Rehabilitation Medicine, Tampere University Hospital, Finland.
⁵ Department of Physical and Rehabilitation Medicine, Kuopio University Hospital, Finland.

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

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.

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

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Aged
Deep Brain Stimulation / methods*
Electromyography / methods*
Female
Humans
Male
Middle Aged
Parkinson Disease / diagnosis
Parkinson Disease / physiopathology*
Parkinson Disease / therapy*
Treatment Outcome