Literature DB >> 10517273

A comparison of cross-correlation and surface EMG techniques used to quantify motor unit synchronization in humans.

J G Semmler1, M A Nordstrom.   

Abstract

Two methods used to estimate the strength of motor unit (MU) synchronization in a muscle are the direct cross-correlation of MU discharge times, and averaging of the surface electromyogram (SEMG) with respect to discharge of a reference MU. Although indirect, the latter approach has the advantage that a global estimate of MU synchrony can be obtained quickly and easily. The two methods are generally regarded as providing equivalent information on the extent of MU synchronization in a muscle, but this proposition has not previously been tested quantitatively. In the present study, we used both the SEMG technique (189 MUs) and cross-correlation of MU discharge (498 MU pairs) to estimate MU synchrony in 28 first dorsal interosseus (FDI) muscles from 16 subjects. Despite considerable overlap in the identity of MUs used to quantify synchrony with each method, linear regression revealed no significant correlation between the estimates of MU synchronization in FDI muscles obtained with the two techniques (r2= 0.04, n = 28). This discrepancy was not due to insufficient sampling of the MU population with the cross-correlation method, although we found evidence for a non-uniform tendency for synchronous discharge in two of 13 motor units providing sufficient data for the analysis. The most likely explanation for the discrepancy between the estimates of MU synchrony is that methodological problems with the SEMG technique limit its accuracy. These problems are difficult to avoid under normal experimental conditions, and we conclude that the SEMG method is not reliable for quantitative comparisons of MU synchrony between muscles and subjects.

Entities:  

Mesh:

Year:  1999        PMID: 10517273     DOI: 10.1016/s0165-0270(99)00069-2

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  13 in total

1.  Properties of human motor units after prolonged activity at a constant firing rate.

Authors:  K V B Johnson; S C Edwards; C Van Tongeren; P Bawa
Journal:  Exp Brain Res       Date:  2003-10-22       Impact factor: 1.972

2.  The pace of prosodic phrasing couples the listener's cortex to the reader's voice.

Authors:  Mathieu Bourguignon; Xavier De Tiège; Marc Op de Beeck; Noémie Ligot; Philippe Paquier; Patrick Van Bogaert; Serge Goldman; Riitta Hari; Veikko Jousmäki
Journal:  Hum Brain Mapp       Date:  2012-01-03       Impact factor: 5.038

3.  Motor unit recruitment strategies and muscle properties determine the influence of synaptic noise on force steadiness.

Authors:  Jakob L Dideriksen; Francesco Negro; Roger M Enoka; Dario Farina
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

4.  A simulation study to examine the effect of common motoneuron inputs on correlated patterns of motor unit discharge.

Authors:  Madeleine M Lowery; Zeynep Erim
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

5.  Motor unit synchronization measured by cross-correlation is not influenced by short-term strength training of a hand muscle.

Authors:  Dawson J Kidgell; Martin V Sale; John G Semmler
Journal:  Exp Brain Res       Date:  2006-10-19       Impact factor: 1.972

6.  Amplitude cancellation of motor-unit action potentials in the surface electromyogram can be estimated with spike-triggered averaging.

Authors:  Dario Farina; Corrado Cescon; Francesco Negro; Roger M Enoka
Journal:  J Neurophysiol       Date:  2008-05-07       Impact factor: 2.714

7.  Fluctuations in isometric muscle force can be described by one linear projection of low-frequency components of motor unit discharge rates.

Authors:  Francesco Negro; Ales Holobar; Dario Farina
Journal:  J Physiol       Date:  2009-12-15       Impact factor: 5.182

8.  Pathological tremor prediction using surface electromyogram and acceleration: potential use in 'ON-OFF' demand driven deep brain stimulator design.

Authors:  Ishita Basu; Daniel Graupe; Daniela Tuninetti; Pitamber Shukla; Konstantin V Slavin; Leo Verhagen Metman; Daniel M Corcos
Journal:  J Neural Eng       Date:  2013-05-08       Impact factor: 5.379

9.  Correlation varies with different time lags between the motions of the hyoid bone, epiglottis, and larynx during swallowing.

Authors:  Han Gil Seo; Byung-Mo Oh; Ja-Ho Leigh; Tai Ryoon Han
Journal:  Dysphagia       Date:  2014-07-08       Impact factor: 3.438

10.  Low-frequency oscillations of the neural drive to the muscle are increased with experimental muscle pain.

Authors:  Dario Farina; Francesco Negro; Leonardo Gizzi; Deborah Falla
Journal:  J Neurophysiol       Date:  2011-11-02       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.