Literature DB >> 8294967

Synchronization of motor-unit firings in several human muscles.

C J De Luca1, A M Roy, Z Erim.   

Abstract

1. Synchronization of concurrently active motor-unit firings was studied in six human muscles performing isometric constant-force contractions at 30% of the maximal level. The myoelectric signal was detected with a quadrifilar needle electrode and was decomposed into its constituent motor-unit action-potential trains with the Precision Decomposition technique, whose accuracy has been proven previously. 2. Synchronization was considered as the tendency of two motor units to fire at fixed time intervals with respect to each other more often than would be expected if the motor units fired independently. A rigorous statistical technique was used to measure the presence of peaks in the cross-interval histogram of pairs of motor-unit action-potential trains. The location of the center of peak as well as their width and amplitude were measured. A synch index was developed to measure the percentage of firings that were synchronized. The percentage of concurrently active motor-unit pairs that contained synchronized firings was measured. 3. Synchronization of motor-unit firings was observed to occur in two modalities. The short-term modality was seen as a peak in the cross-interval histogram centered about zero-time delay (0.5 +/- 2.9 ms, mean +/- SD) and with an average width of 4.5 +/- 2.5 ms. The long-term modality was seen as a peak centered at latencies ranging from 8 to 76 ms. On the average, the peaks of the long-term synchronization were 36% lower but had approximately the same width as the peaks for the short-term synchronization. Short-term synchronization was seen in 60% of the motor-unit paris, whereas long-term synchronization was seen in 10% of the pairs. 4. Short-term synchronization occurred in bursts of consecutive firings, ranging in number from 1 to 10, with 91% of all synchronized firing occurring in groups of 1 or 2; and the bursts of discharges appeared at sporadic times during the contraction. 5. The amount of synchronization in motor-unit pairs was found to be low. In the six muscles that were tested, an average of 8.0% of all the firings were short-term synchronized, and an average of 1.0% were long-term synchronized. The synch index was statistically indistinguishable (P = 0.07-0.89) among the different muscles and among 9 of the 11 subjects tested. 6. Sixty percent of concurrently active motor-unit pairs displayed short-term synchronization, 10% of the pairs displayed long-term synchronization, and 8% displayed both modalities.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1993        PMID: 8294967     DOI: 10.1152/jn.1993.70.5.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  35 in total

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2.  The influence of muscle pain and fatigue on the activity of synergistic muscles of the leg.

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3.  Extraction of individual muscle mechanical action from endpoint force.

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4.  Synchronization of motor unit firings: an epiphenomenon of firing rate characteristics not common inputs.

Authors:  Joshua C Kline; Carlo J De Luca
Journal:  J Neurophysiol       Date:  2015-10-21       Impact factor: 2.714

5.  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

6.  How computational technique and spike train properties affect coherence detection.

Authors:  K Terry; L Griffin
Journal:  J Neurosci Methods       Date:  2007-09-26       Impact factor: 2.390

7.  Motor unit control and force fluctuation during fatigue.

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Journal:  J Appl Physiol (1985)       Date:  2009-04-23

8.  A comparison of critical force and electromyographic fatigue threshold for isometric muscle actions of the forearm flexors.

Authors:  C Russell Hendrix; Terry J Housh; Glen O Johnson; Joseph P Weir; Travis W Beck; Moh H Malek; Michelle Mielke; Richard J Schmidt
Journal:  Eur J Appl Physiol       Date:  2009-01-10       Impact factor: 3.078

9.  Fatigue-related modulation of low-frequency common drive to motor units.

Authors:  Ing-Shiou Hwang; Yen-Ting Lin; Chien-Chun Huang; Yi-Ching Chen
Journal:  Eur J Appl Physiol       Date:  2020-04-15       Impact factor: 3.078

10.  Fatigue related changes in electromyographic coherence between synergistic hand muscles.

Authors:  Shashikala Kattla; Madeleine M Lowery
Journal:  Exp Brain Res       Date:  2009-12-12       Impact factor: 1.972

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