1) 園生雅弘. 針筋電図検査の適応と臨床的意義. In: 園生雅弘, 馬場正之, 編. 神経筋電気診断の実際. 東京: 星和書店; 2004. p.69-75
|
|
|
2) 園生雅弘. Fasciculationの起源と筋電図上の問題点. 神経進歩. 1996; 40: 75-83
|
|
|
3) Hjorth RJ, Walsh JC, Willison RG. The distribution and frequency of spontaneous fasciculations in motor neurone disease. J Neurol Sci. 1973; 18: 469-74
|
|
|
4) Howard RS, Murray NMF. Surface EMG in the recording of fasciculations. Muscle Nerve. 1992; 15: 1240-5
|
|
|
5) Kleine BU, Stegeman DF, Schelhaas HJ. Firing pattern of fasciculations in ALS: evidence for axonal and neuronal origin. Neurology. 2008; 70: 353-9
|
|
|
6) Walker FO, Donofrio PD, Harpold GJ, et al. Sonographic imaging of muscle contraction and fasciculations: a correlation with electromyography. Muscle Nerve. 1990; 13: 33-9
|
|
|
7) Reimers CD, Ziemann U, Scheel A, et al. Fasciculations: clinical, electromyographic, and ultrasonographic assessment. J Neurol. 1996; 243: 579-84
|
|
|
8) Arts IM, van Rooij FG, Overeem S, et al. Quantitative muscle ultrasonography in amyotrophic lateral sclerosis. Ultrasound Med Biol. 2008; 34: 354-61
|
|
|
9) 園生雅弘. ALSと脊椎脊髄疾患の鑑別: 針筋電図から. 脊椎脊髄ジャーナル. 2010; 23: Inpress
|
|
|
10) Linssen WH, Stegeman DF, Joosten EM, et al. Fatigue in type I fiber predominance: a muscle force and surface EMG study on the relative role of type I and type II muscle fibers. Muscle Nerve. 1991; 14: 829-37
|
|
|
11) Krivickas LS, Taylor A, Maniar RM, et al. Is spectral analysis of the surface electromyographic signal a clinically useful tool for evaluation of skeletal muscle fatigue? J Clin Neurophysiol. 1998; 15: 138-45
|
|
|
12) Haig AJ, Gelblum JB, Rechtien JJ, et al. Technology assessment: the use of surface EMG in the diagnosis and treatment of nerve and muscle disorders. Muscle Nerve. 1996; 19: 392-5
|
|
|
13) Pullman SL, Goodin DS, Marquinez AI, et al. Clinical utility of surface EMG: report of the therapeutics and technology assessment subcommittee of the American Academy of Neurology. Neurology. 2000; 55: 171-7
|
|
|
14) Meekins GD, So Y, Quan D. American Association of Neuromuscular & Electrodiagnostic Medicine evidenced-based review: use of surface electromyography in the diagnosis and study of neuromuscular disorders. Muscle Nerve. 2008; 38: 1219-24
|
|
|
15) Rodriguez AA, Agre JC. Correlation of motor units with strength and spectral characteristics in polio survivors and controls. Muscle Nerve. 1991; 14: 429-34
|
|
|
16) Cywinska-Wasilewska G, Ober JJ, Koczocik-Przedpelska J. Power spectrum of the surface EMG in post-polio syndrome. Electromyogr Clin Neurophysiol. 1998; 38: 463-6
|
|
|
17) Toulouse P, Carrault G, Le Rumeur E, et al. Surface electromyogram automatic analysis and Guillain-Barré syndrome follow up. Electromyogr Clin Neurophysiol. 1992; 32: 51-62
|
|
|
18) Wimalaratna HS, Tooley MA, Churchill E, et al. Quantitative surface EMG in the diagnosis of neuromuscular disorders. Electromyogr Clin Neurophysiol. 2002; 42: 167-74
|
|
|
19) Kumagai K, Yamada M. The clinical use of multichannel surface electromyography. Acta Paediatr Jpn. 1991; 33: 228-37
|
|
|
20) Ramaekers VT, Disselhorst-Klug C, Schneider J, et al. Clinical application of a noninvasive multielectrode array EMG for the recording of single motor unit activity. Neuropediatrics. 1993; 24: 134-8
|
|
|
21) Huppertz HJ, Disselhorst-Klug C, Silny J, et al. Diagnostic yield of noninvasive high spatial resolution electromyography in neuromuscular diseases. Muscle Nerve. 1997; 20: 1360-70
|
|
|
22) Rau G, Disselhorst-Klug C. Principles of high-spatial-resolution surface EMG(HSR-EMG): single motor unit detection and application in the diagnosis of neuromuscular disorders. J Electromyogr Kinesiol. 1997; 7: 233-9
|
|
|
23) Disselhorst-Klug C, Bahm J, Ramaekers V, et al. Non-invasive approach of motor unit recording during muscle contractions in humans. Eur J Appl Physiol. 2000; 83: 144-50
|
|
|
24) Wood SM, Jarratt JA, Barker AT, et al. Surface electromyography using electrode arrays: a study of motor neuron disease. Muscle Nerve. 2001; 24: 223-30
|
|
|
25) Roeleveld K, Stegeman DF. What do we learn from motor unit action potentials in surface electromyography? Muscle Nerve. 2002; Suppl 11: S92-7
|
|
|
26) Zwarts MJ, Stegeman DF. Multichannel surface EMG: basic aspects and clinical utility. Muscle Nerve. 2003; 28: 1-17
|
|
|
27) Hogrel JY. Use of surface EMG for studying motor unit recruitment during isometric linear force ramp. J Electromyogr Kinesiol. 2003; 13: 417-23
|
|
|
28) Nakamura H, Yoshida M, Kotani M, et al. The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part I-measuring techniques. J Electromyogr Kinesiol. 2004; 14: 423-32
|
|
|
29) Blok JH, Van Dijk JP, Zwarts MJ, et al. Motor unit action potential topography and its use in motor unit number estimation. Muscle Nerve. 2005; 32: 280-91
|
|
|
30) Drost G, Stegeman DF, van Engelen BG, et al. Clinical applications of high-density surface EMG: a systematic review. J Electromyogr Kinesiol. 2006; 16: 586-602
|
|
|
31) Merletti R, Holobar A, Farina D. Analysis of motor units with high-density surface electromyography. J Electromyogr Kinesiol 2008; 18: 879-90
|
|
|
32) van Dijk JP, Blok JH, Lapatki BG, et al. Motor unit number estimation using high-density surface electromyography. Clin Neurophysiol. 2008; 119: 33-42
|
|
|
33) Holobar A, Farina D, Gazzoni M, et al. Estimating motor unit discharge patterns from high-density surface electromyogram. Clin Neurophysiol. 2009; 120: 551-62
|
|
|
34) De Luca CJ, Hostage EC. Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions. J Neurophysiol. 2010; 104: 1034-46
|
|
|
35) Nawab SH, Chang SS, De Luca CJ. High-yield decomposition of surface EMG signals. Clin Neurophysiol. 2010; 121: 1602-15
|
|
|
36) van Dijk JP, Verhamme C, van Schaik IN, et al. Age-related changes in motor unit number estimates in adult patients with Charcot-Marie-Tooth type 1A. Eur J Neurol. 2010; 17: 1098-104
|
|
|
37) De Luca CJ, LeFever RS, McCue MP, et al. Behaviour of human motor units in different muscles during linearly varing contractions. J Physiol. 1982; 329: 113-28
|
|
|
38) McComas AJ. Motor unit estimation: anxieties and achievements. Muscle Nerve. 1995; 18: 369-79
|
|
|
39) Daube JR. Motor unit number estimates: from A to Z. J Neurol Sci. 2006; 242: 23-35
|
|
|
40) Bromberg MB. Updating motor unit number estimation(MUNE). Clin Neurophysiol. 2007; 118: 1-8
|
|
|
41) McComas AJ, Fawcett PR, Campbell MJ, et al. Electrophysiological estimation of the number of motor units within a human muscle. J Neurol Neurosurg Psychiatry. 1971; 34: 121-31
|
|
|
42) Brown WF. Functional compensation of human motor units in health and disease. J Neurol Sci. 1973; 20: 199-209
|
|
|
43) Kadrie HA, Yates SK, Milner-Brown HS, et al. Multiple point electrical stimulation of ulnar and median nerves. J Neurol Neurosurg Psychiatry. 1976; 39: 973-85
|
|
|
44) Doherty TJ, Brown WF. The estimated numbers and relative sizes of thenar motor units as selected by multiple point stimulation in young and older adults. Muscle Nerve. 1993; 16: 355-66
|
|
|
45) Daube JR. Statistical estimates of number of motor units in thenar and foot muscles in patients with amyotrophic lateral sclerosis or the residual of poliomyelitis. Muscle Nerve. 1988; 11: 957-8
|
|
|
46) Brown WF, Jaatoul N. Amyotrophic lateral sclerosis. Electrophysiologic study(number of motor units and rate of decay of motor units). Arch Neurol. 1974; 30: 242-8
|
|
|
47) Wang FC, Delwaide PJ. Number and relative size of thenar motor units in ALS patients: application of the adapted multiple point stimulation method. Electroencephalogr Clin Neurophysiol. 1998; 109: 36-43
|
|
|
48) Arasaki K, Tamaki M. A loss of functional spinal alpha motor neurons in amyotrophic lateral sclerosis. Neurology. 1998; 51: 603-5
|
|
|
49) Shefner JM, Cudkowicz ME, Zhang H, et al. The use of statistical MUNE in a multicenter clinical trial. Muscle Nerve. 2004; 30: 463-9
|
|
|
50) de Carvalho M, Chio A, Dengler R, et al. Neurophysiological measures in amyotrophic lateral sclerosis: markers of progression in clinical trials. Amyotroph Lateral Scler Other Motor Neuron Disord. 2005; 6: 17-28
|
|
|
51) Lomen-Hoerth C, Slawnych MP. Statistical motor unit number estimation: from theory to practice. Muscle Nerve. 2003; 28: 263-72
|
|
|
52) van Dijk JP, Zwarts MJ, Schelhaas HJ, et al. Effect of small motor unit potentials on the motor unit number estimate. Muscle Nerve. 2008; 37: 887-92
|
|
|
53) Nandedkar SD, Nandedkar DS, Barkhaus PE, et al. Motor unit number index(MUNIX). IEEE Trans Biomed Eng. 2004; 51: 2209-11
|
|
|
54) Neuwirth C, Nandedkar S, Stålberg E, et al. Motor unit number index(MUNIX): a novel neurophysiological technique to follow disease progression in amyotrophic lateral sclerosis. Muscle Nerve. 2010; 42: 379-84
|
|
|
55) Uesugi H, Sonoo M, Stålberg E, et al. A new technique of analysing surface EMG on voluntary contraction which can differentiate between neurogenic and myopathic change: a proposal of“Clustering Index". Clin Neurophysiol. 1999; 110(Suppl. 1): S249
|
|
|
56) Uesugi H, Sonoo M, Stålberg E, et al. A new technique of analysing surface EMG on voluntary contraction which can differentiate between neurogenic and myopathic changes: a proposal of“Clustering Index". Clin Neurophysiol. 2000; 111: 2343
|
|
|
57) Uesugi H, Sonoo M, Stålberg E, et al. “Clustering index method": a new technique for differentiation between neurogenic and myopathic changes using surface EMG. Clin Neurophysiol. 2010; doi: 10. 1016/j. clinph. 2010. 08. 012
|
|
|
58) Higashihara M, Sonoo M, Yamamoto T, et al. Quantitative analysis of surface electromyography for the evaluation of lower motor neuron involvement in spinal and bulbar muscular atrophy. Muscle Nerve. 2010; 42: 655
|
|
|
59) Stålberg E. Electrodiagnostic assessment and monitoring of motor unit changes in disease. Muscle Nerve. 1991; 14: 293-303
|
|
|
60) 園生雅弘. ミオパチーの神経生理学的診断. In: 園生雅弘, 馬場正之, 編. 神経筋電気診断の実際. 東京: 星和書店; 2004. p.153-160
|
|
|