Literature DB >> 15269117

Degradation of neuronal function following a spinal cord injury: mechanisms and countermeasures.

Volker Dietz1, Roland Müller.   

Abstract

The aim of this study was to evaluate the course of spinal neuronal activity following spinal cord injury (SCI). In patients with a complete SCI, the leg muscle EMG activity early and up to 33 years after an SCI was analysed during locomotor movements induced and assisted by a driven gait orthosis (DGO). Only in chronic SCI patients did a premature exhaustion of neuronal activity occur. This was reflected in a reduced density and fading of leg muscle EMG activity. The early exhaustion of EMG activity was more pronounced in the leg flexor (e.g. biceps femoris) than extensor (e.g. gastrocnemius) muscles. The timing of the leg muscle pattern remained unchanged in the chronic patients. A preserved amplitude of motor action potentials following repetitive peripheral nerve stimulation and during spasms indicated an interneuronal site of impairment. In patients who participated in a locomotor training programme lasting up to 13 weeks, no positive effect on the slope of exhaustion was seen. It is concluded that a degradation of spinal neuronal activity takes place following an SCI. If in the future regeneration of spinal tract fibres becomes feasible in patients with complete SCI, such an approach can only become functionally successful if neuronal activity below the level of the lesion is maintained. This might be achieved by a continuous training approach starting early after injury.

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Year:  2004        PMID: 15269117     DOI: 10.1093/brain/awh255

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  22 in total

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3.  A systematic review of the efficacy of gait rehabilitation strategies for spinal cord injury.

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Review 5.  Rehabilitation Strategies after Spinal Cord Injury: Inquiry into the Mechanisms of Success and Failure.

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7.  Single pellet grasping following cervical spinal cord injury in adult rat using an automated full-time training robot.

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8.  Transformation of nonfunctional spinal circuits into functional states after the loss of brain input.

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9.  From neuromuscular activation to end-point locomotion: An artificial neural network-based technique for neural prostheses.

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Review 10.  Robotic training and spinal cord plasticity.

Authors:  V Reggie Edgerton; Roland R Roy
Journal:  Brain Res Bull       Date:  2008-11-14       Impact factor: 4.077

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