Surface EMG and Myosonography in the Detection of Fasciculations: A Comparative Study

Surface electromyography (EMG) and muscle sonography both facilitate the detection of fasciculations. This study was conducted to evaluate the prevalence of fasciculations in 10 lower extremity muscles in 58 subjects 47 ± 18 years of age without and 54 patients 52 ± 15 years of age with various neuromuscular diseases (3 with inflammatory myopathy, 15 with lower motor neuron disease, 22 with acquired and 11 with hereditary motor and sensory neuropathy (HMSN), and 3 with adrenomyeloneuropathy). When each muscle was screened by means of myosonography for 10 seconds, fasciculations were found in up to 8 muscles in 11 control subjects (19%) and in up to 10 muscles in 41 patients (76%). Within the same recording period surface EMG revealed fasciculations in 5 control subjects (9%) and 30 patients (56%), whereas during a recording time of 20 minutes fasciculations were detected in 55 (95%) control subjects and all patients. An amplitude of 400 µV proved to be the optimum cutoff between fasciculations for healthy subjects and patients with neuromuscular disease (accuracy, 74%). Myosonography allowed differentiation of both groups with an accuracy of 79%. Surface EMG was more liable to artifacts than myosonography. The average interval between subsequent fasciculations cannot be used to differentiate patients with acquired and hereditary polyneuropathy and with lower motor neuron disease. Long‐term surface EMG recording indicates fasciculations to occur in almost all patients with neuromuscular disease and the vast majority of healthy subjects. Muscle ultrasonography was more convenient and reliable than surface EMG in differentiating patients and healthy subjects.

[1]  F. Walker,et al.  Sonographic imaging of muscle contraction and fasciculations: A correlation with electromyography , 1990, Muscle & nerve.

[2]  J. Bortz,et al.  Lehrbuch der Statistik : für Sozialwissenschaftler , 1977 .

[3]  D T Barry,et al.  Acoustic myography: A noninvasive monitor of motor unit fatigue , 1985, Muscle & nerve.

[4]  M. Toepfer,et al.  Ultrasonographic Assessment of the Prevalence of Fasciculations in Lesions of the Peripheral Nervous System , 1997, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[5]  C. Metz Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.

[6]  F. Spaans,et al.  Fasciculation potentials in foot and leg muscles of healthy young adults. , 1994, Electroencephalography and clinical neurophysiology.

[7]  Carlo J. De Luca,et al.  Physiology and Mathematics of Myoelectric Signals , 1979 .

[8]  L. Kurland,et al.  MUSCLE FASCICULATIONS IN A HEALTHY POPULATION. , 1963, Archives of neurology.

[9]  K Sturmann,et al.  The neurologic examination. , 1997, Emergency medicine clinics of North America.

[10]  J. Bortz Lehrbuch der Statistik , 1979 .

[11]  S D Nandedkar,et al.  Recording characteristics of the surface EMG electrodes , 1994, Muscle & nerve.

[12]  C. D. De Luca Physiology and Mathematics of Myoelectric Signals , 1979, IEEE Transactions on Biomedical Engineering.

[13]  R. Willison,et al.  The distribution and frequency of spontaneous fasciculations in motor neurone disease. , 1973, Journal of the neurological sciences.

[14]  木村 淳 Electrodiagnosis in diseases of nerve and muscle : principles and practice , 1983 .

[15]  B. Brooks,et al.  El escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis , 1994, Journal of the Neurological Sciences.

[16]  Monica A. Hemingway,et al.  Electromyographic recordings of paraspinal muscles: Variations related to subcutaneous tissue thickness , 1995, Biofeedback and self-regulation.

[17]  R S Howard,et al.  Surface EMG in the recording of fasciculations , 1992, Muscle & nerve.