Title |
Non-invasive neuromodulation to improve gait in chronic multiple sclerosis: a randomized double blind controlled pilot trial
|
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Published in |
Journal of NeuroEngineering and Rehabilitation, May 2014
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DOI | 10.1186/1743-0003-11-79 |
Pubmed ID | |
Authors |
Mitchell E Tyler, Kurt A Kaczmarek, Kathy L Rust, Alla M Subbotin, Kimberly L Skinner, Yuri P Danilov |
Abstract |
This study sought to examine the effect of targeted physical therapy with and without cranial nerve non-invasive neuromodulation (CN-NINM), on the walking ability of people with MS who exhibited a dysfunctional gait. We hypothesized that subjects who received electrical stimulation would have greater improvement than those who had a control device after a 14-week intervention. Gait disturbance is a common problem for people with multiple sclerosis (MS). Current management may include exercise, pharmacology, functional electrical stimulation, compensatory strategies, use of assistive devices, and implanted electrical devices. We have developed an effective rehabilitative strategy using neuromodulation of the cranial nerves via electrical stimulation of the tongue to enhance the plasticity of the brain. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 13% |
United Kingdom | 1 | 13% |
Brazil | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 8 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 1% |
United States | 1 | <1% |
Russia | 1 | <1% |
Unknown | 185 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 27 | 14% |
Student > Ph. D. Student | 24 | 13% |
Student > Master | 21 | 11% |
Researcher | 18 | 10% |
Student > Doctoral Student | 11 | 6% |
Other | 33 | 17% |
Unknown | 55 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 20% |
Nursing and Health Professions | 29 | 15% |
Neuroscience | 14 | 7% |
Agricultural and Biological Sciences | 10 | 5% |
Engineering | 8 | 4% |
Other | 31 | 16% |
Unknown | 60 | 32% |