Literature DB >> 18598271

Spatiotemporal organization of alpha-motoneuron activity in the human spinal cord during different gaits and gait transitions.

Y P Ivanenko1, G Cappellini, R E Poppele, F Lacquaniti.   

Abstract

Here we studied the spatiotemporal organization of motoneuron (MN) activity during different human gaits. We recorded the electromyographic (EMG) activity patterns in 32 ipsilateral limb and trunk muscles from normal subjects while running and walking on a treadmill (3-12 km/h). In addition, we recorded backward walking and skipping, a distinct human gait that comprises the features of both walking and running. We mapped the recorded EMG activity patterns onto the spinal cord in approximate rostrocaudal locations of the MN pools. The activation of MNs tends to occur in bursts and be segregated by spinal segment in a gait-specific manner. In particular, sacral and cervical activation timings were clearly gait-dependent. Swing-related activity constituted an appreciable fraction (> 30%) of the total MN activity of leg muscles. Locomoting at non-preferred speeds (running and walking at 5 and 9 km/h, respectively) showed clear differences relative to preferred speeds. Running at low speeds was characterized by wider sacral activation. Walking at high non-preferred speeds was accompanied by an 'atypical' locus of activation in the upper lumbar spinal cord during late stance and by a drastically increased activation of lumbosacral segments. The latter findings suggest that the optimal speed of gait transitions may be related to an optimal intensity of the total MN activity, in addition to other factors previously described. The results overall support the idea of flexibility and adaptability of spatiotemporal activity in the spinal circuitry with constraints on the temporal functional connectivity of hypothetical pulsatile burst generators.

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Year:  2008        PMID: 18598271     DOI: 10.1111/j.1460-9568.2008.06289.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  39 in total

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Review 2.  Patterned control of human locomotion.

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3.  Differential activation of lumbar and sacral motor pools during walking at different speeds and slopes.

Authors:  A H Dewolf; Y P Ivanenko; K E Zelik; F Lacquaniti; P A Willems
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4.  The foot is more than a spring: human foot muscles perform work to adapt to the energetic requirements of locomotion.

Authors:  Ryan Riddick; Dominic J Farris; Luke A Kelly
Journal:  J R Soc Interface       Date:  2019-01-31       Impact factor: 4.118

5.  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

6.  The Spinal Control of Backward Locomotion.

Authors:  Jonathan Harnie; Johannie Audet; Alexander N Klishko; Adam Doelman; Boris I Prilutsky; Alain Frigon
Journal:  J Neurosci       Date:  2020-11-25       Impact factor: 6.167

7.  Model of a bilateral Brown-type central pattern generator for symmetric and asymmetric locomotion.

Authors:  Anton Sobinov; Sergiy Yakovenko
Journal:  J Neurophysiol       Date:  2017-11-29       Impact factor: 2.714

8.  Neuromechanical adjustments when walking with an aiding or hindering horizontal force.

Authors:  A H Dewolf; Y P Ivanenko; R M Mesquita; F Lacquaniti; P A Willems
Journal:  Eur J Appl Physiol       Date:  2019-11-07       Impact factor: 3.078

9.  Speed dependency in α-motoneuron activity and locomotor modules in human locomotion: indirect evidence for phylogenetically conserved spinal circuits.

Authors:  Hikaru Yokoyama; Tetsuya Ogawa; Masahiro Shinya; Noritaka Kawashima; Kimitaka Nakazawa
Journal:  Proc Biol Sci       Date:  2017-03-29       Impact factor: 5.349

10.  Effects of walking speed on asymmetry and bilateral coordination of gait.

Authors:  Meir Plotnik; Ronny P Bartsch; Aviva Zeev; Nir Giladi; Jeffery M Hausdorff
Journal:  Gait Posture       Date:  2013-05-13       Impact factor: 2.840

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