Literature DB >> 17640652

Inter-joint coupling effects on muscle contributions to endpoint force and acceleration in a musculoskeletal model of the cat hindlimb.

Keith W van Antwerp1, Thomas J Burkholder, Lena H Ting.   

Abstract

The biomechanical principles underlying the organization of muscle activation patterns during standing balance are poorly understood. The goal of this study was to understand the influence of biomechanical inter-joint coupling on endpoint forces and accelerations induced by the activation of individual muscles during postural tasks. We calculated induced endpoint forces and accelerations of 31 muscles in a 7 degree-of-freedom, three-dimensional model of the cat hindlimb. To test the effects of inter-joint coupling, we systematically immobilized the joints (excluded kinematic degrees of freedom) and evaluated how the endpoint force and acceleration directions changed for each muscle in 7 different conditions. We hypothesized that altered inter-joint coupling due to joint immobilization of remote joints would substantially change the induced directions of endpoint force and acceleration of individual muscles. Our results show that for most muscles crossing the knee or the hip, joint immobilization altered the endpoint force or acceleration direction by more than 90 degrees in the dorsal and sagittal planes. Induced endpoint forces were typically consistent with behaviorally observed forces only when the ankle was immobilized. We then activated a proximal muscle simultaneous with an ankle torque of varying magnitude, which demonstrated that the resulting endpoint force or acceleration direction is modulated by the magnitude of the ankle torque. We argue that this simple manipulation can lend insight into the functional effects of co-activating muscles. We conclude that inter-joint coupling may be an essential biomechanical principle underlying the coordination of proximal and distal muscles to produce functional endpoint actions during motor tasks.

Mesh:

Year:  2007        PMID: 17640652      PMCID: PMC4346316          DOI: 10.1016/j.jbiomech.2007.06.001

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  37 in total

1.  The mechanical action of proprioceptive length feedback in a model of cat hindlimb.

Authors:  T J Burkholder; T R Nicols
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Review 2.  Biomechanics and muscle coordination of human walking: part II: lessons from dynamical simulations and clinical implications.

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3.  Distribution of heterogenic reflexes among the quadriceps and triceps surae muscles of the cat hind limb.

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4.  Muscle force-length dynamics during level versus incline locomotion: a comparison of in vivo performance of two guinea fowl ankle extensors.

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Journal:  J Exp Biol       Date:  2003-09       Impact factor: 3.312

5.  Contributions of muscle forces and toe-off kinematics to peak knee flexion during the swing phase of normal gait: an induced position analysis.

Authors:  Frank C Anderson; Saryn R Goldberg; Marcus G Pandy; Scott L Delp
Journal:  J Biomech       Date:  2004-05       Impact factor: 2.712

6.  Biomechanical capabilities influence postural control strategies in the cat hindlimb.

Authors:  J Lucas McKay; Thomas J Burkholder; Lena H Ting
Journal:  J Biomech       Date:  2006-12-06       Impact factor: 2.712

7.  Improved agreement of foot segmental power and rate of energy change during gait: inclusion of distal power terms and use of three-dimensional models.

Authors:  K L Siegel; T M Kepple; G E Caldwell
Journal:  J Biomech       Date:  1996-06       Impact factor: 2.712

8.  Strategies that simplify the control of quadrupedal stance. I. Forces at the ground.

Authors:  J M Macpherson
Journal:  J Neurophysiol       Date:  1988-07       Impact factor: 2.714

9.  Relative contribution of Ia inhibitory interneurones to inhibition of feline contralateral motoneurones evoked via commissural interneurones.

Authors:  E Jankowska; P Krutki; K Matsuyama
Journal:  J Physiol       Date:  2005-08-11       Impact factor: 5.182

10.  Muscle fascicle and series elastic element length changes along the length of the human gastrocnemius during walking and running.

Authors:  G A Lichtwark; K Bougoulias; A M Wilson
Journal:  J Biomech       Date:  2005-12-20       Impact factor: 2.712

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  15 in total

1.  Directional constraint of endpoint force emerges from hindlimb anatomy.

Authors:  Nathan E Bunderson; J Lucas McKay; Lena H Ting; Thomas J Burkholder
Journal:  J Exp Biol       Date:  2010-06-15       Impact factor: 3.312

2.  Long-latency muscle activity reflects continuous, delayed sensorimotor feedback of task-level and not joint-level error.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2013-06-26       Impact factor: 2.714

Review 3.  Neuromechanics of muscle synergies for posture and movement.

Authors:  Lena H Ting; J Lucas McKay
Journal:  Curr Opin Neurobiol       Date:  2008-03-04       Impact factor: 6.627

4.  Reduction of neuromuscular redundancy for postural force generation using an intrinsic stability criterion.

Authors:  Nathan E Bunderson; Thomas J Burkholder; Lena H Ting
Journal:  J Biomech       Date:  2008-04-18       Impact factor: 2.712

5.  Sensorimotor feedback based on task-relevant error robustly predicts temporal recruitment and multidirectional tuning of muscle synergies.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2012-10-24       Impact factor: 2.714

Review 6.  Neuromechanical principles underlying movement modularity and their implications for rehabilitation.

Authors:  Lena H Ting; Hillel J Chiel; Randy D Trumbower; Jessica L Allen; J Lucas McKay; Madeleine E Hackney; Trisha M Kesar
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

Review 7.  Review and perspective: neuromechanical considerations for predicting muscle activation patterns for movement.

Authors:  Lena H Ting; Stacie A Chvatal; Seyed A Safavynia; J Lucas McKay
Journal:  Int J Numer Method Biomed Eng       Date:  2012-05-16       Impact factor: 2.747

Review 8.  The brain in its body: motor control and sensing in a biomechanical context.

Authors:  Hillel J Chiel; Lena H Ting; Orjan Ekeberg; Mitra J Z Hartmann
Journal:  J Neurosci       Date:  2009-10-14       Impact factor: 6.167

9.  Practical limits on muscle synergy identification by non-negative matrix factorization in systems with mechanical constraints.

Authors:  Thomas J Burkholder; Keith W van Antwerp
Journal:  Med Biol Eng Comput       Date:  2012-11-03       Impact factor: 2.602

10.  Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts.

Authors:  J Lucas McKay; Lena H Ting
Journal:  PLoS Comput Biol       Date:  2012-04-12       Impact factor: 4.475

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