Literature DB >> 24658323

Motor unit firing rate patterns during voluntary muscle force generation: a simulation study.

Xiaogang Hu1, William Z Rymer, Nina L Suresh.   

Abstract

OBJECTIVE: Muscle force is generated by a combination of motor unit (MU) recruitment and changes in the discharge rate of active MUs. There have been two basic MU recruitment and firing rate paradigms reported in the literature, which describe the control of the MUs during force generation. The first (termed the reverse 'onion skin' profile), exhibits lower firing rates for lower threshold units, with higher firing rates occurring in higher threshold units. The second (termed the 'onion skin' profile), exhibits an inverse arrangement, with lower threshold units reaching higher firing rates. APPROACH: Using a simulation of the MU activity in a hand muscle, this study examined the force generation capacity and the variability of the muscle force magnitude at different excitation levels of the MU pool under these two different MU control paradigms. We sought to determine which rate/recruitment scheme was more efficient for force generation, and which scheme gave rise to the lowest force variability. MAIN
RESULTS: We found that the force output of both firing patterns leads to graded force output at low excitation levels, and that the force generation capacity of the two different paradigms diverged around 50% excitation. In the reverse 'onion skin' pattern, at 100% excitation, the force output reached up to 88% of maximum force, whereas for the 'onion skin' pattern, the force output only reached up to 54% of maximum force at 100% excitation. The force variability was lower at the low to moderate force levels under the 'onion skin' paradigm than with the reverse 'onion skin' firing patterns, but this effect was reversed at high force levels. SIGNIFICANCE: This study captures the influence of MU recruitment and firing rate organization on muscle force properties, and our results suggest that the different firing organizations can be beneficial at different levels of voluntary muscle force generation and perhaps for different tasks.

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Year:  2014        PMID: 24658323     DOI: 10.1088/1741-2560/11/2/026015

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  15 in total

1.  The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors.

Authors:  John M Allen; Sherif M Elbasiouny
Journal:  J Neural Eng       Date:  2017-11-28       Impact factor: 5.379

2.  Synaptic control of the shape of the motoneuron pool input-output function.

Authors:  Randall K Powers; Charles J Heckman
Journal:  J Neurophysiol       Date:  2017-01-04       Impact factor: 2.714

3.  Biomechanical benefits of the Onion-Skin motor unit control scheme.

Authors:  Carlo J De Luca; Paola Contessa
Journal:  J Biomech       Date:  2014-12-09       Impact factor: 2.712

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Authors:  Masatoshi Nakamura; Yusuke Suzuki; Riku Yoshida; Kazuki Kasahara; Yuta Murakami; Tetsuya Hirono; Satoru Nishishita; Kosuke Takeuchi; Andreas Konrad
Journal:  Front Physiol       Date:  2022-06-02       Impact factor: 4.755

5.  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

6.  Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury.

Authors:  Jannatul Naeem; Nur Azah Hamzaid; Md Anamul Islam; Amelia Wong Azman; Manfred Bijak
Journal:  Med Biol Eng Comput       Date:  2019-01-28       Impact factor: 2.602

7.  Effects of barbell deadlift training on submaximal motor unit firing rates for the vastus lateralis and rectus femoris.

Authors:  Matt S Stock; Brennan J Thompson
Journal:  PLoS One       Date:  2014-12-22       Impact factor: 3.240

8.  Control of motor unit firing during step-like increases in voluntary force.

Authors:  Xiaogang Hu; William Z Rymer; Nina L Suresh
Journal:  Front Hum Neurosci       Date:  2014-09-11       Impact factor: 3.169

9.  Surface Electromyographic Examination of Poststroke Neuromuscular Changes in Proximal and Distal Muscles Using Clustering Index Analysis.

Authors:  Weidi Tang; Xu Zhang; Xiao Tang; Shuai Cao; Xiaoping Gao; Xiang Chen
Journal:  Front Neurol       Date:  2018-01-15       Impact factor: 4.003

10.  Model-Based Analysis of Muscle Strength and EMG-Force Relation with respect to Different Patterns of Motor Unit Loss.

Authors:  Chengjun Huang; Maoqi Chen; Yingchun Zhang; Sheng Li; Ping Zhou
Journal:  Neural Plast       Date:  2021-06-22       Impact factor: 3.599

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