Key result
Investigation of the spike-triggered averaging method of motor unit number estimation (MUNE) identified specific sources of error that affect its accuracy in measuring disease state in ALS.
Identifies sources of error in the spike-triggered averaging method of MUNE to improve its accuracy as a measure of disease progression in ALS.
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Requires caution using spike-triggered averaging MUNE in ALS; leaves open its validity pending error corrections and validation.
Motor unit number estimation (MUNE) is an electrophysical technique to estimate the number of motor units innervating a muscle or muscle group. MUNE may be useful as a measure of progression of lower motor neuron loss in amyotrophic lateral sclerosis (ALS). Several methods of MUNE have been developed. The spike-triggered averaging method can be readily performed on EMG machines with signal averaging capabilities and is suitable for estimating the number of motor neurons innervating proximal muscles. We have used MUNE as a measure of disease state in a drug efficacy trial for ALS. From our experience with this method we have identified sources of error which can affect MUNE accuracy. We have investigated these sources and report their effect on MUNE.
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Bromberg et al. (1995) studied Amyotrophic lateral sclerosis (ALS). Spike-triggered averaging method of motor unit number estimation (MUNE) was evaluated on Sources of error affecting MUNE accuracy. Investigation of the spike-triggered averaging method of motor unit number estimation (MUNE) identified specific sources of error that affect its accuracy in measuring disease state in ALS.
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