Title |
Development of a multi-electrode array for spinal cord epidural stimulation to facilitate stepping and standing after a complete spinal cord injury in adult rats
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Published in |
Journal of NeuroEngineering and Rehabilitation, January 2013
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DOI | 10.1186/1743-0003-10-2 |
Pubmed ID | |
Authors |
Parag Gad, Jaehoon Choe, Mandheerej Singh Nandra, Hui Zhong, Roland R Roy, Yu-Chong Tai, V Reggie Edgerton |
Abstract |
Stimulation of the spinal cord has been shown to have great potential for improving function after motor deficits caused by injury or pathological conditions. Using a wide range of animal models, many studies have shown that stimulation applied to the neural networks intrinsic to the spinal cord can result in a dramatic improvement of motor ability, even allowing an animal to step and stand after a complete spinal cord transection. Clinical use of this technology, however, has been slow to develop due to the invasive nature of the implantation procedures, the lack of versatility in conventional stimulation technology, and the difficulty of ascertaining specific sites of stimulation that would provide optimal amelioration of the motor deficits. Moreover, the development of tools available to control precise stimulation chronically via biocompatible electrodes has been limited. In this paper, we outline the development of this technology and its use in the spinal rat model, demonstrating the ability to identify and stimulate specific sites of the spinal cord to produce discrete motor behaviors in spinal rats using this array. |
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Geographical breakdown
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United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 1% |
Japan | 1 | <1% |
Ireland | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 179 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 33 | 18% |
Researcher | 33 | 18% |
Student > Master | 20 | 11% |
Student > Bachelor | 19 | 10% |
Lecturer | 8 | 4% |
Other | 33 | 18% |
Unknown | 38 | 21% |
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Engineering | 53 | 29% |
Medicine and Dentistry | 19 | 10% |
Neuroscience | 18 | 10% |
Agricultural and Biological Sciences | 13 | 7% |
Materials Science | 8 | 4% |
Other | 27 | 15% |
Unknown | 46 | 25% |