Literature DB >> 20554838

Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions.

Carlo J De Luca1, Emily C Hostage.   

Abstract

We used surface EMG signal decomposition technology to study the control properties of numerous simultaneously active motor units. Six healthy human subjects of comparable age (21 +/- 0.63 yr) and physical fitness were recruited to perform isometric contractions of the vastus lateralis (VL), first dorsal interosseous (FDI), and tibialis anterior (TA) muscles at the 20, 50, 80, and 100% maximum voluntary contraction force levels. EMG signals were collected with a five-pin surface array sensor that provided four channels of data. They were decomposed into the constituent action potentials with a new decomposition algorithm. The firings of a total of 1,273 motor unit action potential trains, 20-30 per contraction, were obtained. The recruitment thresholds and mean firing rates of the motor units were calculated, and mathematical equations were derived. The results describe a hierarchical inverse relationship between the recruitment thresholds and the firing rates, including the first and second derivatives, i.e., the velocity and the acceleration of the firing rates. This relationship describes an "operating point" for the motoneuron pool that remains consistent at all force levels and is modulated by the excitation. This relationship differs only slightly between subjects and more distinctly across muscles. These results support the "onion skin" property that suggests a basic control scheme encoded in the physical properties of motoneurons that responds consistently to a "common drive" to the motoneuron pool.

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Year:  2010        PMID: 20554838      PMCID: PMC2934917          DOI: 10.1152/jn.01018.2009

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


  51 in total

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2.  Voluntary discharge frequencies of human motoneurons at different muscle lengths.

Authors:  B R Bigland-Ritchie; F H Furbush; S C Gandevia; C K Thomas
Journal:  Muscle Nerve       Date:  1992-02       Impact factor: 3.217

3.  Reduction in maximal firing rate of motoneurons after 1-week immobilization of finger muscle in human subjects.

Authors:  Kazuhiko Seki; Tomohiro Kizuka; Hiroshi Yamada
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4.  Estimating motor unit discharge patterns from high-density surface electromyogram.

Authors:  Ales Holobar; Dario Farina; Marco Gazzoni; Roberto Merletti; Damjan Zazula
Journal:  Clin Neurophysiol       Date:  2009-02-08       Impact factor: 3.708

5.  Surface EMG signal decomposition using empirically sustainable biosignal separation principles.

Authors:  S Hamid Nawab; Shey-Sheen Chang; Carlo J De Luca
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

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Authors:  C J De Luca; Z Erim
Journal:  Trends Neurosci       Date:  1994-07       Impact factor: 13.837

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Journal:  J Appl Physiol (1985)       Date:  1998-01

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Authors:  K Kanosue; M Yoshida; K Akazawa; K Fujii
Journal:  Jpn J Physiol       Date:  1979

9.  A procedure for decomposing the myoelectric signal into its constituent action potentials--Part II: Execution and test for accuracy.

Authors:  R S LeFever; A P Xenakis; C J De Luca
Journal:  IEEE Trans Biomed Eng       Date:  1982-03       Impact factor: 4.538

10.  Behaviour of human motor units in different muscles during linearly varying contractions.

Authors:  C J De Luca; R S LeFever; M P McCue; A P Xenakis
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

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  70 in total

1.  Hierarchical control of motor units in voluntary contractions.

Authors:  Carlo J De Luca; Paola Contessa
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

2.  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

3.  Altered motor unit discharge patterns in paretic muscles of stroke survivors assessed using surface electromyography.

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4.  Neuromorphic meets neuromechanics, part I: the methodology and implementation.

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Journal:  J Neural Eng       Date:  2017-01-13       Impact factor: 5.379

5.  Assessing altered motor unit recruitment patterns in paretic muscles of stroke survivors using surface electromyography.

Authors:  Xiaogang Hu; Aneesha K Suresh; William Z Rymer; Nina L Suresh
Journal:  J Neural Eng       Date:  2015-09-24       Impact factor: 5.379

6.  Motor unit pool organization examined via spike-triggered averaging of the surface electromyogram.

Authors:  Xiaogang Hu; William Z Rymer; Nina L Suresh
Journal:  J Neurophysiol       Date:  2013-05-22       Impact factor: 2.714

7.  Motor unit action potential amplitude during low torque fatiguing contractions versus high torque non-fatiguing contractions: a multilevel analysis.

Authors:  Kylie K Harmon; Adam S Hamilton; Brent D Johnson; Frank J Bartek; Ryan M Girts; Rob J MacLennan; Debbie L Hahs-Vaughn; Matt S Stock
Journal:  Eur J Appl Physiol       Date:  2021-01-23       Impact factor: 3.078

8.  Post-exercise depression following submaximal and maximal isometric voluntary contraction.

Authors:  David A Cunningham; Daniel Janini; Alexandria Wyant; Corin Bonnett; Nicole Varnerin; Vishwanath Sankarasubramanian; Kelsey A Potter-Baker; Sarah Roelle; Xiaofeng Wang; Vlodek Siemionow; Guang H Yue; Ela B Plow
Journal:  Neuroscience       Date:  2016-04-04       Impact factor: 3.590

9.  Estimating reflex responses in large populations of motor units by decomposition of the high-density surface electromyogram.

Authors:  Utku Ş Yavuz; Francesco Negro; Oğuz Sebik; Aleŝ Holobar; Cornelius Frömmel; Kemal S Türker; Dario Farina
Journal:  J Physiol       Date:  2015-08-02       Impact factor: 5.182

10.  Is the notion of central fatigue based on a solid foundation?

Authors:  Paola Contessa; Alessio Puleo; Carlo J De Luca
Journal:  J Neurophysiol       Date:  2015-12-09       Impact factor: 2.714

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