Literature DB >> 22350666

A muscle's force depends on the recruitment patterns of its fibers.

James M Wakeling1, Sabrina S M Lee, Allison S Arnold, Maria de Boef Miara, Andrew A Biewener.   

Abstract

Biomechanical models of whole muscles commonly used in simulations of musculoskeletal function and movement typically assume that the muscle generates force as a scaled-up muscle fiber. However, muscles are comprised of motor units that have different intrinsic properties and that can be activated at different times. This study tested whether a muscle model comprised of motor units that could be independently activated resulted in more accurate predictions of force than traditional Hill-type models. Forces predicted by the models were evaluated by direct comparison with the muscle forces measured in situ from the gastrocnemii in goats. The muscle was stimulated tetanically at a range of frequencies, muscle fiber strains were measured using sonomicrometry, and the activation patterns of the different types of motor unit were calculated from electromyographic recordings. Activation patterns were input into five different muscle models. Four models were traditional Hill-type models with different intrinsic speeds and fiber-type properties. The fifth model incorporated differential groups of fast and slow motor units. For all goats, muscles and stimulation frequencies the differential model resulted in the best predictions of muscle force. The in situ muscle output was shown to depend on the recruitment of different motor units within the muscle.

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Year:  2012        PMID: 22350666      PMCID: PMC3386380          DOI: 10.1007/s10439-012-0531-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  63 in total

1.  Muscle fibre recruitment can respond to the mechanics of the muscle contraction.

Authors:  James M Wakeling; Katrin Uehli; Antra I Rozitis
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

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Journal:  J Physiol       Date:  1974-01       Impact factor: 5.182

3.  The influence of strain and activation on the locomotor function of rat ankle extensor muscles.

Authors:  E F Hodson-Tole; J M Wakeling
Journal:  J Exp Biol       Date:  2010-01-15       Impact factor: 3.312

4.  Motor unit recruitment patterns 2: the influence of myoelectric intensity and muscle fascicle strain rate.

Authors:  Emma F Hodson-Tole; James M Wakeling
Journal:  J Exp Biol       Date:  2008-06       Impact factor: 3.312

5.  Rank order of motoneurons within a pool: law of combination.

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Journal:  J Neurophysiol       Date:  1974-11       Impact factor: 2.714

Review 6.  Dynamic properties of mammalian skeletal muscles.

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Journal:  Physiol Rev       Date:  1972-01       Impact factor: 37.312

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Authors:  R I Close
Journal:  J Physiol       Date:  1972-02       Impact factor: 5.182

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Authors:  K W Ranatunga
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

9.  Fast fibres in a large animal: fibre types, contractile properties and myosin expression in pig skeletal muscles.

Authors:  Luana Toniolo; Marco Patruno; Lisa Maccatrozzo; Maria A Pellegrino; Monica Canepari; Rosetta Rossi; Giuseppe D'Antona; Roberto Bottinelli; Carlo Reggiani; Francesco Mascarello
Journal:  J Exp Biol       Date:  2004-05       Impact factor: 3.312

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Journal:  J Muscle Res Cell Motil       Date:  1987-12       Impact factor: 2.698

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  23 in total

1.  Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion.

Authors:  Massimo Sartori; Marco Maculan; Claudio Pizzolato; Monica Reggiani; Dario Farina
Journal:  J Neurophysiol       Date:  2015-08-05       Impact factor: 2.714

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

Authors:  Chuanxin M Niu; Kian Jalaleddini; Won Joon Sohn; John Rocamora; Terence D Sanger; Francisco J Valero-Cuevas
Journal:  J Neural Eng       Date:  2017-01-13       Impact factor: 5.379

3.  Comparison of human gastrocnemius forces predicted by Hill-type muscle models and estimated from ultrasound images.

Authors:  Taylor J M Dick; Andrew A Biewener; James M Wakeling
Journal:  J Exp Biol       Date:  2017-02-15       Impact factor: 3.312

4.  Metabolic cost underlies task-dependent variations in motor unit recruitment.

Authors:  Adrian K M Lai; Andrew A Biewener; James M Wakeling
Journal:  J R Soc Interface       Date:  2018-11-21       Impact factor: 4.118

5.  Recruitment of faster motor units is associated with greater rates of fascicle strain and rapid changes in muscle force during locomotion.

Authors:  Sabrina S M Lee; Maria de Boef Miara; Allison S Arnold; Andrew A Biewener; James M Wakeling
Journal:  J Exp Biol       Date:  2012-09-12       Impact factor: 3.312

Review 6.  Validation of Hill-type muscle models in relation to neuromuscular recruitment and force-velocity properties: predicting patterns of in vivo muscle force.

Authors:  Andrew A Biewener; James M Wakeling; Sabrina S Lee; Allison S Arnold
Journal:  Integr Comp Biol       Date:  2014-06-12       Impact factor: 3.326

7.  Added mass in rat plantaris muscle causes a reduction in mechanical work.

Authors:  Stephanie A Ross; Barbora Rimkus; Nicolai Konow; Andrew A Biewener; James M Wakeling
Journal:  J Exp Biol       Date:  2020-10-07       Impact factor: 3.312

8.  Size, History-Dependent, Activation and Three-Dimensional Effects on the Work and Power Produced During Cyclic Muscle Contractions.

Authors:  Stephanie A Ross; David S Ryan; Sebastian Dominguez; Nilima Nigam; James M Wakeling
Journal:  Integr Comp Biol       Date:  2018-08-01       Impact factor: 3.326

9.  Does a two-element muscle model offer advantages when estimating ankle plantar flexor forces during human cycling?

Authors:  Adrian K M Lai; Allison S Arnold; Andrew A Biewener; Taylor J M Dick; James M Wakeling
Journal:  J Biomech       Date:  2017-12-15       Impact factor: 2.712

10.  Accuracy of gastrocnemius muscles forces in walking and running goats predicted by one-element and two-element Hill-type models.

Authors:  Sabrina S M Lee; Allison S Arnold; Maria de Boef Miara; Andrew A Biewener; James M Wakeling
Journal:  J Biomech       Date:  2013-07-18       Impact factor: 2.712

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