Usefulness of intermuscular coherence and cumulant analysis in the diagnosis of postural tremor

A. M. M. van der Stouwe*, B. A. Conway, J. W. Elting, M. A. J. Tijssen, N. M. Maurits

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

27 Citations (Scopus)

Abstract

Objective: To investigate the potential value of two advanced EMG measures as additional diagnostic measures in the polymyographic assessment of postural upper-limb tremor.

Methods: We investigated coherence as a measure of dependency between two EMG signals, and cumulant analysis to reveal patterns of synchronicity in EMG activity in muscle pairs. Eighty datasets were analyzed retrospectively, obtained from four groups: essential tremor (ET), Parkinson's disease (PD), enhanced physiological tremor (EPT), and functional tremor (FT).

Results: Intermuscular coherence was highest in the PD group (0.58), intermediate in FT (0.43) and ET (0.40), and weakest in EPT (0.16) (p = 0.002). EPT patients could be distinguished by low coherence: coherence

Results: Cumulant analysis showed predominantly alternating activity between wrist and elbow extensor in ET patients, while a more synchronous pattern was predominant in PD, EPT and FT (p = 0.008). EMG activity in wrist and elbow flexors tended to be more synchronous in PD (p = 0.059).

Conclusion: Our results suggest that coherence and cumulant analysis may be of additional value in the diagnostic work-up of postural tremor.

Significance: These additional measures may be helpful in diagnosing difficult tremor cases. (c) 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)1564-1569
Number of pages6
JournalClinical Neurophysiology
Volume126
Issue number8
DOIs
Publication statusPublished - Aug-2015

Fingerprint

Dive into the research topics of 'Usefulness of intermuscular coherence and cumulant analysis in the diagnosis of postural tremor'. Together they form a unique fingerprint.

Cite this