Literature DB >> 28351197

The Human Central Pattern Generator for Locomotion: Does It Exist and Contribute to Walking?

Karen Minassian1,2, Ursula S Hofstoetter2, Florin Dzeladini3, Pierre A Guertin4, Auke Ijspeert3.   

Abstract

The ability of dedicated spinal circuits, referred to as central pattern generators (CPGs), to produce the basic rhythm and neural activation patterns underlying locomotion can be demonstrated under specific experimental conditions in reduced animal preparations. The existence of CPGs in humans is a matter of debate. Equally elusive is the contribution of CPGs to normal bipedal locomotion. To address these points, we focus on human studies that utilized spinal cord stimulation or pharmacological neuromodulation to generate rhythmic activity in individuals with spinal cord injury, and on neuromechanical modeling of human locomotion. In the absence of volitional motor control and step-specific sensory feedback, the human lumbar spinal cord can produce rhythmic muscle activation patterns that closely resemble CPG-induced neural activity of the isolated animal spinal cord. In this sense, CPGs in humans can be defined by the activity they produce. During normal locomotion, CPGs could contribute to the activation patterns during specific phases of the step cycle and simplify supraspinal control of step cycle frequency as a feedforward component to achieve a targeted speed. Determining how the human CPGs operate will be essential to advance the theory of neural control of locomotion and develop new locomotor neurorehabilitation paradigms.

Entities:  

Keywords:  CPG; central pattern generator; human; locomotion; modelling; neuromodulation; spinal cord; spinal cord injury; spinal cord stimulation

Mesh:

Year:  2017        PMID: 28351197     DOI: 10.1177/1073858417699790

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  38 in total

1.  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
Journal:  J Neurophysiol       Date:  2019-07-10       Impact factor: 2.714

2.  Effect of Body Weight-Supported Treadmill Training on Cardiovascular and Pulmonary Function in People With Spinal Cord Injury: A Systematic Review.

Authors:  Ramzi Alajam; Abdulfattah S Alqahtani; Wen Liu
Journal:  Top Spinal Cord Inj Rehabil       Date:  2019

3.  Stepping responses to treadmill perturbations vary with severity of motor deficits in human SCI.

Authors:  Virginia W T Chu; T George Hornby; Brian D Schmit
Journal:  J Neurophysiol       Date:  2018-04-18       Impact factor: 2.714

4.  Global entrainment in the brain-body-environment: retrospective and prospective views.

Authors:  Gentaro Taga
Journal:  Biol Cybern       Date:  2021-10-11       Impact factor: 2.086

5.  Impact of autocalibration method on accelerated EPI of the cervical spinal cord at 7 T.

Authors:  Alan C Seifert; Junqian Xu
Journal:  Magn Reson Med       Date:  2022-08-24       Impact factor: 3.737

6.  Freely Chosen Cadence is Increased during Repeated Bouts of Submaximal Ergometer Pedalling.

Authors:  Andreas Schmidt; Jonas G Madsen; Magnus K Hyttel; Ernst A Hansen
Journal:  Int J Exerc Sci       Date:  2022-08-01

7.  Evaluating anticipatory control strategies for their capability to cope with step-down perturbations in computer simulations of human walking.

Authors:  Lucas Schreff; Daniel F B Haeufle; Johanna Vielemeyer; Roy Müller
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

8.  Effects of walking training on risk markers of cardiovascular disease in individuals with chronic spinal cord injury.

Authors:  Ramzi A Alajam; Abdulfattah S Alqahtani; Sanghee Moon; Caio V M Sarmento; Jason Frederick; Irina V Smirnova; Wen Liu
Journal:  J Spinal Cord Med       Date:  2021-01-14       Impact factor: 2.040

Review 9.  Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics.

Authors:  Jessica Ausborn; Natalia A Shevtsova; Simon M Danner
Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

Review 10.  The Drosophila Larval Locomotor Circuit Provides a Model to Understand Neural Circuit Development and Function.

Authors:  Iain Hunter; Bramwell Coulson; Aref Arzan Zarin; Richard A Baines
Journal:  Front Neural Circuits       Date:  2021-07-01       Impact factor: 3.492

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