Literature DB >> 12766181

Changes in muscle fiber conduction velocity indicate recruitment of distinct motor unit populations.

C J Houtman1, D F Stegeman, J P Van Dijk, M J Zwarts.   

Abstract

To obtain more insight into the changes in mean muscle fiber conduction velocity (MFCV) during sustained isometric exercise at relatively low contraction levels, we performed an in-depth study of the human tibialis anterior muscle by using multichannel surface electromyogram. The results show an increase in MFCV after an initial decrease of MFCV at 30 or 40% maximum voluntary contraction in all of the five subjects studied. With a peak velocity analysis, we calculated the distribution of conduction velocities of action potentials in the bipolar electromyogram signal. It shows two populations of peak velocities occurring simultaneously halfway through the exercise. The MFCV pattern implies the recruitment of two different populations of motor units. Because of the lowering of MFCV of the first activated population of motor units, the newly recruited second population of motor units becomes visible. It is most likely that the MFCV pattern can be ascribed to the fatiguing of already recruited predominantly type I motor units, followed by the recruitment of fresh, predominantly type II, motor units.

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Year:  2003        PMID: 12766181     DOI: 10.1152/japplphysiol.00665.2002

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  25 in total

1.  The slow component of oxygen uptake during intense, sub-maximal exercise in man is associated with additional fibre recruitment.

Authors:  Peter Krustrup; Karin Söderlund; Magni Mohr; Jens Bangsbo
Journal:  Pflugers Arch       Date:  2004-01-31       Impact factor: 3.657

Review 2.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

3.  Adaptive spatial filtering of multichannel surface electromyogram signals.

Authors:  N Ostlund; J Yu; K Roeleveld; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

4.  Comparison of the electromyographic activity in the upper trapezius and biceps brachii muscle in subjects with muscular disorders: a pilot study.

Authors:  E Schulte; L A C Kallenberg; H Christensen; C Disselhorst-Klug; H J Hermens; G Rau; K Søgaard
Journal:  Eur J Appl Physiol       Date:  2005-02-04       Impact factor: 3.078

5.  On-line signal quality estimation of multichannel surface electromyograms.

Authors:  C Grönlund; K Roeleveld; A Holtermann; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2005-05       Impact factor: 2.602

Review 6.  Motor unit recruitment for dynamic tasks: current understanding and future directions.

Authors:  Emma F Hodson-Tole; James M Wakeling
Journal:  J Comp Physiol B       Date:  2008-07-03       Impact factor: 2.200

7.  On the nature of the electromyographic signals recorded during vibration exercise.

Authors:  Lin Xu; Chiara Rabotti; Massimo Mischi
Journal:  Eur J Appl Physiol       Date:  2015-01-10       Impact factor: 3.078

Review 8.  Potential mechanisms for a role of metabolic stress in hypertrophic adaptations to resistance training.

Authors:  Brad J Schoenfeld
Journal:  Sports Med       Date:  2013-03       Impact factor: 11.136

9.  Electromyogram features during linear torque decrement and their changes with fatigue.

Authors:  Renata Andrzejewska; Artur Jaskólski; Anna Jaskólska; Massimiliano Gobbo; Claudio Orizio
Journal:  Eur J Appl Physiol       Date:  2014-06-24       Impact factor: 3.078

10.  Simultaneous estimation of muscle fibre conduction velocity and muscle fibre orientation using 2D multichannel surface electromyogram.

Authors:  C Grönlund; N Ostlund; K Roeleveld; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

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