Statistical motor unit number estimation: From theory to practice
Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the numbe...
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| Published in | Muscle & nerve Vol. 28; no. 3; pp. 263 - 272 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.09.2003
Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0148-639X 1097-4598 |
| DOI | 10.1002/mus.10351 |
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| Abstract | Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the number of lower motor neurons is important, since the compound muscle action potential (CMAP) and strength may not change as rapidly over time due to the confounding effect of reinnervation. MUNE techniques differ in the way they obtain samples of surface‐recorded motor unit potentials (SMUP). Statistical MUNE is based on Poisson statistics, uses surface stimulation, and is useful in testing distal, superficial nerves. This review focuses on the theory behind the development of the technique, critiques the publications resulting from applying the technique in control and disease subjects, and discusses the future developments needed for clinical utility. Muscle Nerve 28: 263–272, 2003 |
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| AbstractList | Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the number of lower motor neurons is important, since the compound muscle action potential (CMAP) and strength may not change as rapidly over time due to the confounding effect of reinnervation. MUNE techniques differ in the way they obtain samples of surface‐recorded motor unit potentials (SMUP). Statistical MUNE is based on Poisson statistics, uses surface stimulation, and is useful in testing distal, superficial nerves. This review focuses on the theory behind the development of the technique, critiques the publications resulting from applying the technique in control and disease subjects, and discusses the future developments needed for clinical utility. Muscle Nerve 28: 263–272, 2003 Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the number of lower motor neurons is important, since the compound muscle action potential (CMAP) and strength may not change as rapidly over time due to the confounding effect of reinnervation. MUNE techniques differ in the way they obtain samples of surface-recorded motor unit potentials (SMUP). Statistical MUNE is based on Poisson statistics, uses surface stimulation, and is useful in testing distal, superficial nerves. This review focuses on the theory behind the development of the technique, critiques the publications resulting from applying the technique in control and disease subjects, and discusses the future developments needed for clinical utility. Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the number of lower motor neurons is important, since the compound muscle action potential (CMAP) and strength may not change as rapidly over time due to the confounding effect of reinnervation. MUNE techniques differ in the way they obtain samples of surface-recorded motor unit potentials (SMUP). Statistical MUNE is based on Poisson statistics, uses surface stimulation, and is useful in testing distal, superficial nerves. This review focuses on the theory behind the development of the technique, critiques the publications resulting from applying the technique in control and disease subjects, and discusses the future developments needed for clinical utility.Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the number of lower motor neurons is important, since the compound muscle action potential (CMAP) and strength may not change as rapidly over time due to the confounding effect of reinnervation. MUNE techniques differ in the way they obtain samples of surface-recorded motor unit potentials (SMUP). Statistical MUNE is based on Poisson statistics, uses surface stimulation, and is useful in testing distal, superficial nerves. This review focuses on the theory behind the development of the technique, critiques the publications resulting from applying the technique in control and disease subjects, and discusses the future developments needed for clinical utility. |
| Author | Slawnych, Michael P. Lomen-Hoerth, Catherine |
| Author_xml | – sequence: 1 givenname: Catherine surname: Lomen-Hoerth fullname: Lomen-Hoerth, Catherine email: cathylh@itsa.ucsf.edu organization: Department of Neurology, University of California, San Francisco, 505 Parnassus Avenue, Room M348, San Francisco, California 94143, USA – sequence: 2 givenname: Michael P. surname: Slawnych fullname: Slawnych, Michael P. organization: Department of Cardiology, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta, Canada |
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| Keywords | Estimation ALS motor unit number estimation Action potential Amyotrophic lateral sclerosis Motor neuron Review Striated muscle Neuromuscular junction Motor unit Statistical method Electrodiagnosis Poisson MUNE |
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| References | Felice KJ. A longitudinal study comparing thenar motor unit number estimates to other quantitative tests in patients with amyotrophic lateral sclerosis. Muscle Nerve 1997; 20: 179-185. Del Castillo J, Katz B. Quantal components of the end-plate potential. J Physiol 1954; 124: 560-573. McComas AJ. Motor unit estimation: anxieties and achievements. Muscle Nerve 1995; 18: 369-379. Martin A. Quantal nature of synaptic transmission. Physiol Rev 1966; 46: 51-66. Yuen EC, Olney RK. Longitudinal study of fiber density and motor unit number estimate in patients with amyotrophic lateral sclerosis. Neurology 1997; 49: 573-578. Shefner JM. Motor unit number estimation in human neurological diseases and animal models. Clin Neurophysiol 2001; 112: 955-964. Brown WF, Strong MJ, Snow R. Methods for estimating numbers of motor units in biceps-brachialis muscles and losses of motor units with aging. Muscle Nerve 1988; 11: 423-432. Santo Neto H, de Carvalho VC, Marques MJ. Estimation of the number and size of human flexor digiti minimi muscle motor units using histological methods. Muscle Nerve 1998; 21: 112-114. Simmons Z, Epstein DK, Borg B, Mauger DT, Kothari MJ, Shefner JM. Reproducibility of motor unit number estimation in individual subjects. Muscle Nerve 2001; 24: 467-473. Doherty TJ, Komori T, Stashuk DW, Kassam A, Brown WF. Physiological properties of single thenar motor units in the F-response of younger and older adults. Muscle Nerve 1994; 17: 860-872. Olney RK, Lomen-Hoerth C. Motor unit number estimation: how may it contribute to the diagnosis of ALS? Amyotroph Lateral Scler Other Motor Neuron Disord 2000; 2: S41-S44. Lomen-Hoerth C, Olney RK. Effect of recording window and stimulation variables on the statistical technique of motor unit number estimation. Muscle Nerve 2001; 24: 1659-1664. Arasaki K, Tamaki M, Hosoya Y, Kudo N. Validity of electromyograms and tension as a means of motor unit number estimation. Muscle Nerve 1997; 20: 552-560. Lomen-Hoerth C, Olney RK. Comparison of multiple point and statistical motor unit number estimation. Muscle Nerve 2000; 23: 1525-1533. Daube JR. Estimating the number of motor units in a muscle. J Clin Neurophysiol 1995; 12: 585-594. McComas A. Neuromuscular function and disorders. London: Butterworths; 1977. 364 p. Kadrie HA, Yates SK, Milner-Brown HS, Brown WF. Multiple point electrical stimulation of ulnar and median nerves. J Neurol Neurosurg Psychiatry 1976; 39: 973-985. Doherty TJ, Stashuk DW, Brown WF. Determinants of mean motor unit size: impact on estimates of motor unit number. Muscle Nerve 1993; 16: 1326-1331. Shefner JM, Jillapalli D, Bradshaw DY. Reducing intersubject variability in motor unit number estimation. Muscle Nerve 1999; 22: 1457-1460. McComas AJ, Fawcett PR, Campbell MJ, Sica RE. Electrophysiological estimation of the number of motor units within a human muscle. J Neurol Neurosurg Psychiatry 1971; 34: 121-131. Stashuk DW, Doherty TJ, Kassam A, Brown WF. Motor unit number estimates based on the automated analysis of F-responses. Muscle Nerve 1994; 17: 881-890. Katz B, Miledi R. The statistical nature of the acetylcholine potential and its molecular components. J Physiol 1972; 224: 665-699. Olney RK, Yuen EC, Engstrom JW. Statistical motor unit number estimation: reproducibility and sources of error in patients with amyotrophic lateral sclerosis. Muscle Nerve 2000; 23: 193-197. Daube JR. Statistical estimates of number of motor units in the thenar and foot muscles in patients with amyotrophic lateral sclerosis of the residual of polymyositis. Muscle Nerve 1988; 11: 957-958. Bromberg MB. Electrodiagnostic studies in clinical trials for motor neuron disease. J Clin Neurophysiol 1998; 15: 117-128. 1998; 15 2001; 112 1993; 16 1997; 20 2000; 23 1995; 12 1971; 34 1988; 11 1999; 22 1997; 49 2000; 2 1954; 124 1994; 17 1995; 18 1976; 39 1966; 46 2001; 24 1998; 21 1972; 224 1977 e_1_2_8_23_2 e_1_2_8_24_2 e_1_2_8_25_2 e_1_2_8_26_2 e_1_2_8_9_2 e_1_2_8_2_2 e_1_2_8_4_2 e_1_2_8_3_2 e_1_2_8_6_2 e_1_2_8_8_2 e_1_2_8_7_2 e_1_2_8_20_2 e_1_2_8_21_2 e_1_2_8_22_2 McComas A (e_1_2_8_16_2) 1977 e_1_2_8_17_2 e_1_2_8_18_2 e_1_2_8_19_2 e_1_2_8_12_2 e_1_2_8_13_2 e_1_2_8_14_2 e_1_2_8_15_2 e_1_2_8_10_2 e_1_2_8_11_2 Daube JR (e_1_2_8_5_2) 1988; 11 |
| References_xml | – reference: Daube JR. Statistical estimates of number of motor units in the thenar and foot muscles in patients with amyotrophic lateral sclerosis of the residual of polymyositis. Muscle Nerve 1988; 11: 957-958. – reference: Brown WF, Strong MJ, Snow R. Methods for estimating numbers of motor units in biceps-brachialis muscles and losses of motor units with aging. Muscle Nerve 1988; 11: 423-432. – reference: Daube JR. Estimating the number of motor units in a muscle. J Clin Neurophysiol 1995; 12: 585-594. – reference: Olney RK, Yuen EC, Engstrom JW. Statistical motor unit number estimation: reproducibility and sources of error in patients with amyotrophic lateral sclerosis. Muscle Nerve 2000; 23: 193-197. – reference: Simmons Z, Epstein DK, Borg B, Mauger DT, Kothari MJ, Shefner JM. Reproducibility of motor unit number estimation in individual subjects. Muscle Nerve 2001; 24: 467-473. – reference: Del Castillo J, Katz B. Quantal components of the end-plate potential. J Physiol 1954; 124: 560-573. – reference: McComas AJ. Motor unit estimation: anxieties and achievements. Muscle Nerve 1995; 18: 369-379. – reference: Stashuk DW, Doherty TJ, Kassam A, Brown WF. Motor unit number estimates based on the automated analysis of F-responses. Muscle Nerve 1994; 17: 881-890. – reference: Olney RK, Lomen-Hoerth C. Motor unit number estimation: how may it contribute to the diagnosis of ALS? Amyotroph Lateral Scler Other Motor Neuron Disord 2000; 2: S41-S44. – reference: Kadrie HA, Yates SK, Milner-Brown HS, Brown WF. Multiple point electrical stimulation of ulnar and median nerves. J Neurol Neurosurg Psychiatry 1976; 39: 973-985. – reference: Katz B, Miledi R. The statistical nature of the acetylcholine potential and its molecular components. J Physiol 1972; 224: 665-699. – reference: Shefner JM, Jillapalli D, Bradshaw DY. Reducing intersubject variability in motor unit number estimation. Muscle Nerve 1999; 22: 1457-1460. – reference: Lomen-Hoerth C, Olney RK. Comparison of multiple point and statistical motor unit number estimation. Muscle Nerve 2000; 23: 1525-1533. – reference: McComas AJ, Fawcett PR, Campbell MJ, Sica RE. Electrophysiological estimation of the number of motor units within a human muscle. J Neurol Neurosurg Psychiatry 1971; 34: 121-131. – reference: Arasaki K, Tamaki M, Hosoya Y, Kudo N. Validity of electromyograms and tension as a means of motor unit number estimation. Muscle Nerve 1997; 20: 552-560. – reference: Felice KJ. A longitudinal study comparing thenar motor unit number estimates to other quantitative tests in patients with amyotrophic lateral sclerosis. Muscle Nerve 1997; 20: 179-185. – reference: McComas A. Neuromuscular function and disorders. London: Butterworths; 1977. 364 p. – reference: Lomen-Hoerth C, Olney RK. Effect of recording window and stimulation variables on the statistical technique of motor unit number estimation. Muscle Nerve 2001; 24: 1659-1664. – reference: Martin A. Quantal nature of synaptic transmission. Physiol Rev 1966; 46: 51-66. – reference: Santo Neto H, de Carvalho VC, Marques MJ. Estimation of the number and size of human flexor digiti minimi muscle motor units using histological methods. Muscle Nerve 1998; 21: 112-114. – reference: Doherty TJ, Stashuk DW, Brown WF. Determinants of mean motor unit size: impact on estimates of motor unit number. Muscle Nerve 1993; 16: 1326-1331. – reference: Yuen EC, Olney RK. Longitudinal study of fiber density and motor unit number estimate in patients with amyotrophic lateral sclerosis. Neurology 1997; 49: 573-578. – reference: Doherty TJ, Komori T, Stashuk DW, Kassam A, Brown WF. Physiological properties of single thenar motor units in the F-response of younger and older adults. Muscle Nerve 1994; 17: 860-872. – reference: Shefner JM. Motor unit number estimation in human neurological diseases and animal models. Clin Neurophysiol 2001; 112: 955-964. – reference: Bromberg MB. Electrodiagnostic studies in clinical trials for motor neuron disease. 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| SubjectTerms | Action Potentials - physiology ALS Animals Biological and medical sciences Electrodiagnosis. Electric activity recording Humans Investigative techniques, diagnostic techniques (general aspects) Medical sciences Models, Statistical Motor Neurons - cytology Motor Neurons - physiology motor unit number estimation MUNE Muscle, Skeletal - innervation Muscle, Skeletal - physiology Nervous system Neuromuscular Junction - physiology Poisson Reproducibility of Results review statistical method Synaptic Transmission - physiology Synaptic Vesicles - physiology |
| Title | Statistical motor unit number estimation: From theory to practice |
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