Literature DB >> 19394023

Modular control of human walking: a simulation study.

Richard R Neptune1, David J Clark, Steven A Kautz.   

Abstract

Recent evidence suggests that performance of complex locomotor tasks such as walking may be accomplished using a simple underlying organization of co-active muscles, or "modules", which have been assumed to be structured to perform task-specific biomechanical functions. However, no study has explicitly tested whether the modules would actually produce the biomechanical functions associated with them or even produce a well-coordinated movement. In this study, we generated muscle-actuated forward dynamics simulations of normal walking using muscle activation modules (identified using non-negative matrix factorization) as the muscle control inputs to identify the contributions of each module to the biomechanical sub-tasks of walking (i.e., body support, forward propulsion, and leg swing). The simulation analysis showed that a simple neural control strategy involving five muscle activation modules was sufficient to perform the basic sub-tasks of walking. Module 1 (gluteus medius, vasti, and rectus femoris) primarily contributed to body support in early stance while Module 2 (soleus and gastrocnemius) contributed to both body support and propulsion in late stance. Module 3 (rectus femoris and tibialis anterior) acted to decelerate the leg in early and late swing while generating energy to the trunk throughout swing. Module 4 (hamstrings) acted to absorb leg energy (i.e., decelerate it) in late swing while increasing the leg energy in early stance. Post-hoc analysis revealed an additional module (Module 5: iliopsoas) acted to accelerate the leg forward in pre- and early swing. These results provide evidence that the identified modules can act as basic neural control elements that generate task-specific biomechanical functions to produce well-coordinated walking.

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Year:  2009        PMID: 19394023      PMCID: PMC2696580          DOI: 10.1016/j.jbiomech.2009.03.009

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


  19 in total

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Authors:  R R Neptune; S A Kautz; F E Zajac
Journal:  J Biomech       Date:  2000-02       Impact factor: 2.712

Review 2.  Biomechanics and muscle coordination of human walking: part II: lessons from dynamical simulations and clinical implications.

Authors:  Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  Gait Posture       Date:  2003-02       Impact factor: 2.840

3.  Combinations of muscle synergies in the construction of a natural motor behavior.

Authors:  Andrea d'Avella; Philippe Saltiel; Emilio Bizzi
Journal:  Nat Neurosci       Date:  2003-03       Impact factor: 24.884

4.  A limited set of muscle synergies for force control during a postural task.

Authors:  Lena H Ting; Jane M Macpherson
Journal:  J Neurophysiol       Date:  2004-09-01       Impact factor: 2.714

5.  Phase reversal of biomechanical functions and muscle activity in backward pedaling.

Authors:  L H Ting; S A Kautz; D A Brown; F E Zajac
Journal:  J Neurophysiol       Date:  1999-02       Impact factor: 2.714

6.  Muscles that support the body also modulate forward progression during walking.

Authors:  May Q Liu; Frank C Anderson; Marcus G Pandy; Scott L Delp
Journal:  J Biomech       Date:  2005-10-10       Impact factor: 2.712

7.  Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets.

Authors:  Matthew C Tresch; Vincent C K Cheung; Andrea d'Avella
Journal:  J Neurophysiol       Date:  2006-01-04       Impact factor: 2.714

8.  The effect of walking speed on muscle function and mechanical energetics.

Authors:  Richard R Neptune; Kotaro Sasaki; Steven A Kautz
Journal:  Gait Posture       Date:  2007-12-26       Impact factor: 2.840

9.  Modular control of limb movements during human locomotion.

Authors:  Yuri P Ivanenko; Germana Cappellini; Nadia Dominici; Richard E Poppele; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2007-10-10       Impact factor: 6.167

10.  Coordination of locomotion with voluntary movements in humans.

Authors:  Yuri P Ivanenko; Germana Cappellini; Nadia Dominici; Richard E Poppele; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2005-08-03       Impact factor: 6.167

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  138 in total

Review 1.  Patterned control of human locomotion.

Authors:  Francesco Lacquaniti; Yuri P Ivanenko; Myrka Zago
Journal:  J Physiol       Date:  2012-03-12       Impact factor: 5.182

2.  Task-level feedback can explain temporal recruitment of spatially fixed muscle synergies throughout postural perturbations.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2011-09-28       Impact factor: 2.714

3.  Force encoding in stick insect legs delineates a reference frame for motor control.

Authors:  Sasha N Zill; Josef Schmitz; Sumaiya Chaudhry; Ansgar Büschges
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

4.  Extracting synergies in gait: using EMG variability to evaluate control strategies.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan
Journal:  J Neurophysiol       Date:  2012-06-20       Impact factor: 2.714

5.  Three-dimensional modular control of human walking.

Authors:  Jessica L Allen; Richard R Neptune
Journal:  J Biomech       Date:  2012-06-21       Impact factor: 2.712

6.  Long-term training modifies the modular structure and organization of walking balance control.

Authors:  Andrew Sawers; Jessica L Allen; Lena H Ting
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

7.  Modular organization of muscle activity patterns in the leading and trailing limbs during obstacle clearance in healthy adults.

Authors:  Michael J MacLellan
Journal:  Exp Brain Res       Date:  2017-03-25       Impact factor: 1.972

8.  Neuromuscular responses differ between slip-induced falls and recoveries in older adults.

Authors:  Andrew Sawers; Yi-Chung Clive Pai; Tanvi Bhatt; Lena H Ting
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

9.  Biomechanical effects of augmented ankle power output during human walking.

Authors:  Sarah N Fickey; Michael G Browne; Jason R Franz
Journal:  J Exp Biol       Date:  2018-11-16       Impact factor: 3.312

10.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke.

Authors:  David J Clark; Lena H Ting; Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  J Neurophysiol       Date:  2009-12-09       Impact factor: 2.714

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