Literature DB >> 17463036

Neural regulation of rhythmic arm and leg movement is conserved across human locomotor tasks.

E Paul Zehr1, Jaclyn E Balter, Daniel P Ferris, Sandra R Hundza, Pamela M Loadman, Rebecca H Stoloff.   

Abstract

It has been proposed that different forms of rhythmic human limb movement have a common central neural control ('common core hypothesis'), just as in other animals. We compared the modulation patterns of background EMG and cutaneous reflexes during walking, arm and leg cycling, and arm-assisted recumbent stepping. We hypothesized that patterns of EMG and reflex modulation during cycling and stepping (deduced from mathematical principal components analysis) would be comparable to those during walking because they rely on similar neural substrates. Differences between the tasks were assessed by evoking cutaneous reflexes via stimulation of nerves in the foot and hand in separate trials. The EMG was recorded from flexor and extensor muscles of the arms and legs. Angular positions of the hip, knee and elbow joints were also recorded. Factor analysis revealed that across the three tasks, four principal components explained more than 93% of the variance in the background EMG and middle-latency reflex amplitude. Phase modulation of reflex amplitude was observed in most muscles across all tasks, suggesting activity in similar control networks. Significant correlations between EMG level and reflex amplitude were frequently observed only during static voluntary muscle activation and not during rhythmic movement. Results from a control experiment showed that strong correlation between EMG and reflex amplitudes was observed during discrete, voluntary leg extension but not during walking. There were task-dependent differences in reflex modulation between the three tasks which probably arise owing to specific constraints during each task. Overall, the results show strong correlation across tasks and support common neural patterning as the regulator of arm and leg movement during various rhythmic human movements.

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Year:  2007        PMID: 17463036      PMCID: PMC2075277          DOI: 10.1113/jphysiol.2007.133843

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  71 in total

1.  Neural control of rhythmic, cyclical human arm movement: task dependency, nerve specificity and phase modulation of cutaneous reflexes.

Authors:  E P Zehr; A Kido
Journal:  J Physiol       Date:  2001-12-15       Impact factor: 5.182

2.  Relative contributions of visual and vestibular information on the trajectory of human gait.

Authors:  Paul M Kennedy; Anthony N Carlsen; J Timothy Inglis; Rudy Chow; Ian M Franks; Romeo Chua
Journal:  Exp Brain Res       Date:  2003-09-05       Impact factor: 1.972

3.  Postural uncertainty leads to dynamic control of cutaneous reflexes from the foot during human walking.

Authors:  Carlos Haridas; E Paul Zehr; John E Misiaszek
Journal:  Brain Res       Date:  2005-10-24       Impact factor: 3.252

Review 4.  Energetic consequences of walking like an inverted pendulum: step-to-step transitions.

Authors:  Arthur D Kuo; J Maxwell Donelan; Andy Ruina
Journal:  Exerc Sport Sci Rev       Date:  2005-04       Impact factor: 6.230

5.  The effect of movement frequency on interlimb coupling during recumbent stepping.

Authors:  Pei-Chun Kao; Daniel P Ferris
Journal:  Motor Control       Date:  2005-04       Impact factor: 1.422

Review 6.  Sensori-sensory afferent conditioning with leg movement: gain control in spinal reflex and ascending paths.

Authors:  J D Brooke; J Cheng; D F Collins; W E McIlroy; J E Misiaszek; W R Staines
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7.  Modulation of cutaneous reflexes in human upper limb muscles during arm cycling is independent of activity in the contralateral arm.

Authors:  Timothy J Carroll; E Paul Zehr; David F Collins
Journal:  Exp Brain Res       Date:  2004-10-23       Impact factor: 1.972

8.  Coordination of locomotion with voluntary movements in humans.

Authors:  Yuri P Ivanenko; Germana Cappellini; Nadia Dominici; Richard E Poppele; Francesco Lacquaniti
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Authors: 
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Authors:  Robert E Steldt; Brian D Schmit
Journal:  J Neurophysiol       Date:  2004-03-24       Impact factor: 2.714

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  42 in total

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2.  Suppression of soleus H-reflex amplitude is graded with frequency of rhythmic arm cycling.

Authors:  Sandra R Hundza; E Paul Zehr
Journal:  Exp Brain Res       Date:  2008-11-15       Impact factor: 1.972

Review 3.  The measurement of maximal (anaerobic) power output on a cycle ergometer: a critical review.

Authors:  Tarak Driss; Henry Vandewalle
Journal:  Biomed Res Int       Date:  2013-08-29       Impact factor: 3.411

4.  Multi-frequency arm cycling reveals bilateral locomotor coupling to increase movement symmetry.

Authors:  Erin V L Vasudevan; E Paul Zehr
Journal:  Exp Brain Res       Date:  2011-04-23       Impact factor: 1.972

5.  Modulation of corticospinal input to the legs by arm and leg cycling in people with incomplete spinal cord injury.

Authors:  R Zhou; L Alvarado; S Kim; S L Chong; V K Mushahwar
Journal:  J Neurophysiol       Date:  2017-07-12       Impact factor: 2.714

6.  The effects of backward walking training on balance and mobility in an individual with chronic incomplete spinal cord injury: A case report.

Authors:  Hannah Foster; Lou DeMark; Pamela M Spigel; Dorian K Rose; Emily J Fox
Journal:  Physiother Theory Pract       Date:  2016-08-02       Impact factor: 2.279

Review 7.  Sherlock Holmes and the curious case of the human locomotor central pattern generator.

Authors:  Taryn Klarner; E Paul Zehr
Journal:  J Neurophysiol       Date:  2018-03-14       Impact factor: 2.714

8.  Arm motion coupling during locomotion-like actions: an experimental study and a dynamic model.

Authors:  E Yu Shapkova; A V Terekhov; M L Latash
Journal:  Motor Control       Date:  2011-04       Impact factor: 1.422

9.  Spinal μ-opioid receptor-sensitive lower limb muscle afferents determine corticospinal responsiveness and promote central fatigue in upper limb muscle.

Authors:  Simranjit K Sidhu; Joshua C Weavil; Massimo Venturelli; Ryan S Garten; Matthew J Rossman; Russell S Richardson; Benjamin S Gmelch; David E Morgan; Markus Amann
Journal:  J Physiol       Date:  2014-08-28       Impact factor: 5.182

10.  Upper and lower limb muscle activation is bidirectionally and ipsilaterally coupled.

Authors:  Helen J Huang; Daniel P Ferris
Journal:  Med Sci Sports Exerc       Date:  2009-09       Impact factor: 5.411

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