Literature DB >> 28741434

Robot-Applied Resistance Augments the Effects of Body Weight-Supported Treadmill Training on Stepping and Synaptic Plasticity in a Rodent Model of Spinal Cord Injury.

Erika Hinahon1, Christina Estrada1, Lin Tong1, Deborah S Won1, Ray D de Leon1.   

Abstract

BACKGROUND: The application of resistive forces has been used during body weight-supported treadmill training (BWSTT) to improve walking function after spinal cord injury (SCI). Whether this form of training actually augments the effects of BWSTT is not yet known.
OBJECTIVE: To determine if robotic-applied resistance augments the effects of BWSTT using a controlled experimental design in a rodent model of SCI.
METHODS: Spinally contused rats were treadmill trained using robotic resistance against horizontal (n = 9) or vertical (n = 8) hind limb movements. Hind limb stepping was tested before and after 6 weeks of training. Two control groups, one receiving standard training (ie, without resistance; n = 9) and one untrained (n = 8), were also tested. At the terminal experiment, the spinal cords were prepared for immunohistochemical analysis of synaptophysin.
RESULTS: Six weeks of training with horizontal resistance increased step length, whereas training with vertical resistance enhanced step height and movement velocity. None of these changes occurred in the group that received standard (ie, no resistance) training or in the untrained group. Only standard training increased the number of step cycles and shortened cycle period toward normal values. Synaptophysin expression in the ventral horn was highest in rats trained with horizontal resistance and in untrained rats and was positively correlated with step length.
CONCLUSIONS: Adding robotic-applied resistance to BWSTT produced gains in locomotor function over BWSTT alone. The impact of resistive forces on spinal connections may depend on the nature of the resistive forces and the synaptic milieu that is present after SCI.

Entities:  

Keywords:  contusion; locomotion; plasticity; treadmill

Mesh:

Substances:

Year:  2017        PMID: 28741434      PMCID: PMC5576551          DOI: 10.1177/1545968317721016

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  46 in total

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Authors:  Jennifer E Stevens; Min Liu; Prodip Bose; Wilbur A O'Steen; Floyd J Thompson; Douglas K Anderson; Krista Vandenborne
Journal:  J Neurotrauma       Date:  2006-11       Impact factor: 5.269

2.  The rodent lumbar spinal cord learns to correct errors in hindlimb coordination caused by viscous force perturbations during stepping.

Authors:  Chad Heng; Ray D de Leon
Journal:  J Neurosci       Date:  2007-08-08       Impact factor: 6.167

3.  Robot-enhanced motor learning: accelerating internal model formation during locomotion by transient dynamic amplification.

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4.  Robotic resistance treadmill training improves locomotor function in human spinal cord injury: a pilot study.

Authors:  Ming Wu; Jill M Landry; Brian D Schmit; T George Hornby; Sheng-Che Yen
Journal:  Arch Phys Med Rehabil       Date:  2012-03-27       Impact factor: 3.966

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Authors:  Ray D de Leon; Marc D Kubasak; Patricia E Phelps; Wojciech K Timoszyk; David J Reinkensmeyer; Roland R Roy; V Reggie Edgerton
Journal:  Brain Res Brain Res Rev       Date:  2002-10

6.  Locomotor adaptations and aftereffects to resistance during walking in individuals with spinal cord injury.

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Journal:  J Neurophysiol       Date:  2011-05-04       Impact factor: 2.714

7.  Robotic assistance that encourages the generation of stepping rather than fully assisting movements is best for learning to step in spinally contused rats.

Authors:  Connie Lee; Deborah Won; Mary Jo Cantoria; Marvin Hamlin; Ray D de Leon
Journal:  J Neurophysiol       Date:  2011-03-23       Impact factor: 2.714

8.  Differential effects of low versus high amounts of weight supported treadmill training in spinally transected rats.

Authors:  Ray D de Leon; Pamela A See; Cheryl H T Chow
Journal:  J Neurotrauma       Date:  2011-06-09       Impact factor: 5.269

9.  Training with robot-applied resistance in people with motor-incomplete spinal cord injury: Pilot study.

Authors:  Tania Lam; Katherine Pauhl; Amanda Ferguson; Raza N Malik; Andrei Krassioukov; Janice J Eng
Journal:  J Rehabil Res Dev       Date:  2015

10.  A pilot study on the feasibility of robot-aided leg motor training to facilitate active participation.

Authors:  Chandramouli Krishnan; Rajiv Ranganathan; Yasin Y Dhaher; William Z Rymer
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

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1.  Dynamic Modeling and Simulation of a Body Weight Support System.

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Journal:  J Healthc Eng       Date:  2020-02-12       Impact factor: 2.682

2.  Viscous field training induces after effects but hinders recovery of overground locomotion following spinal cord injury in rats.

Authors:  Nathan D Neckel; Haining Dai
Journal:  Behav Brain Res       Date:  2021-06-18       Impact factor: 3.352

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