Literature DB >> 12702706

Multiple features of motor-unit activity influence force fluctuations during isometric contractions.

Anna M Taylor1, Evangelos A Christou, Roger M Enoka.   

Abstract

To identify the mechanisms responsible for the fluctuations in force that occur during voluntary contractions, experimental measurements were compared with simulated forces in the time and frequency domains at contraction intensities that ranged from 2 to 98% of the maximum voluntary contraction (MVC). The abduction force exerted by the index finger due to an isometric contraction of the first dorsal interosseus muscle was measured in 10 young adults. Force was simulated with computer models of motor-unit recruitment and rate coding for a population of 120 motor units. The models varied recruitment and rate-coding properties of the motor units and the activation pattern of the motor-unit population. The main finding was that the experimental observations of a minimum in the coefficient of variation (CV) for force (1.7%) at approximately 30% MVC and a plateau at higher forces could not be replicated by any of the models. The model that increased the level of short-term synchrony with excitatory drive provided the closest fit to the experimentally observed relation between the CV for force and the mean force. In addition, the results for the synchronization model extended previous modeling efforts to show that the effect of synchronization is independent from that of discharge-rate variability. Most of the power in the force power spectra for the models was contained in the frequency bins below 5 Hz. Only a model that included a low-frequency oscillation in excitation, however, could approximate the experimental finding of peak power at a frequency below 2 Hz: 38% of total power at 0.99 Hz and 43% at 1.37 Hz, respectively. In contrast to the experimental power spectra, all model spectra included a second peak at a higher frequency. The secondary peak was less prominent in the synchronization model because of greater variability in discharge rate. These results indicate that the variation in force fluctuations across the entire operating range of the muscle cannot be explained by a single mechanism that influences the output of the motor-unit population.

Mesh:

Year:  2003        PMID: 12702706     DOI: 10.1152/jn.00056.2003

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


  78 in total

1.  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

2.  Discharge properties of motor units during steady isometric contractions performed with the dorsiflexor muscles.

Authors:  Mark Jesunathadas; Malgorzata Klass; Jacques Duchateau; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2012-03-22

3.  Age-related changes in the control of finger force vectors.

Authors:  Shweta Kapur; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Appl Physiol (1985)       Date:  2010-09-09

4.  Age-related differences in force variability and visual display.

Authors:  Edward Ofori; Jean M Samson; Jacob J Sosnoff
Journal:  Exp Brain Res       Date:  2010-03-30       Impact factor: 1.972

5.  Force-independent distribution of correlated neural inputs to hand muscles during three-digit grasping.

Authors:  Brach Poston; Alessander Danna-Dos Santos; Mark Jesunathadas; Thomas M Hamm; Marco Santello
Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

6.  Changes in fluctuation of isometric force following eccentric and concentric exercise of the elbow flexors.

Authors:  Andrew P Lavender; Kazunori Nosaka
Journal:  Eur J Appl Physiol       Date:  2005-10-26       Impact factor: 3.078

7.  The medial gastrocnemius muscle attenuates force fluctuations during plantar flexion.

Authors:  Minoru Shinohara; Yasuhide Yoshitake; Motoki Kouzaki; Tetsuo Fukunaga
Journal:  Exp Brain Res       Date:  2005-09-29       Impact factor: 1.972

8.  Exertion dependent alternations in force fluctuation and limb acceleration during sustained fatiguing contraction.

Authors:  Chien-Ting Huang; Ing-Shiou Hwang; Chien-Chun Huang; Ming-Shing Young
Journal:  Eur J Appl Physiol       Date:  2006-05-10       Impact factor: 3.078

9.  Are age-related increases in force variability due to decrements in strength?

Authors:  Jacob J Sosnoff; Karl M Newell
Journal:  Exp Brain Res       Date:  2006-03-31       Impact factor: 1.972

10.  Greater amount of visual feedback decreases force variability by reducing force oscillations from 0-1 and 3-7 Hz.

Authors:  Harsimran S Baweja; Deanna M Kennedy; Julie Vu; David E Vaillancourt; Evangelos A Christou
Journal:  Eur J Appl Physiol       Date:  2009-12-02       Impact factor: 3.078

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