Motor unit number estimates and quantitative motor unit analysis in healthy subjects and patients with amyotrophic lateral sclerosis
Corresponding Author
Shaun G. Boe PhD
School of Kinesiology, University of Western Ontario, London, Ontario, Canada
School of Kinesiology, University of Western Ontario, London, Ontario, CanadaSearch for more papers by this authorDaniel W. Stashuk PhD
Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada
Search for more papers by this authorTimothy J. Doherty MD, PhD
School of Kinesiology, University of Western Ontario, London, Ontario, Canada
Departments of Clinical Neurological Sciences and Rehabilitation Medicine, University of Western Ontario, University Hospital, London Health Sciences Centre, 339 Windermere Road, London, Ontario N6A 5A5, Canada
Search for more papers by this authorCorresponding Author
Shaun G. Boe PhD
School of Kinesiology, University of Western Ontario, London, Ontario, Canada
School of Kinesiology, University of Western Ontario, London, Ontario, CanadaSearch for more papers by this authorDaniel W. Stashuk PhD
Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada
Search for more papers by this authorTimothy J. Doherty MD, PhD
School of Kinesiology, University of Western Ontario, London, Ontario, Canada
Departments of Clinical Neurological Sciences and Rehabilitation Medicine, University of Western Ontario, University Hospital, London Health Sciences Centre, 339 Windermere Road, London, Ontario N6A 5A5, Canada
Search for more papers by this authorAbstract
Limitations associated with global measures of function in patients with amyotrophic lateral sclerosis (ALS) and the qualitative nature of needle electromyography have stimulated the development of alternate means of monitoring disease severity and progression in ALS. Thus, the objective of this study was to examine the ability of one these techniques, decomposition-based quantitative electromyography (DQEMG), to obtain electrophysiological data, including motor unit number estimates (MUNEs), from a group of patients with ALS. The first dorsal interosseous and biceps brachii muscles were studied in 10 healthy subjects and 9 patients with ALS. Following the acquisition of a maximum M wave, needle- and surface-detected EMGs were collected simultaneously during 30-second contractions performed at 10% of the maximum voluntary contraction force to obtain motor unit potential (MUP) trains. DQEMG was then used to extract the surface-detected MUP associated with each MUP train, the mean size of which was divided into the maximum M wave to obtain a MUNE. The results suggest that quantitative electrophysiological data obtained using DQEMG are representative of the pathophysiological changes in the lower motor system in ALS patients, supporting its use in studies documenting the natural history and progression of the disease. Muscle Nerve, 2007
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