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Quantitative electrodiagnosis of the motor unit.
Bromberg, Mark B.
Afiliación
  • Bromberg MB; Department of Neurology, University of Utah, Salt Lake City, UT, United States. Electronic address: mark.bromberg@hsc.utah.edu.
Handb Clin Neurol ; 195: 271-286, 2023.
Article en En | MEDLINE | ID: mdl-37562872
ABSTRACT
Electromyography (EMG) focuses on assessment of the motor unit (MU), and a given muscle has several hundred MUs, each innervating hundreds of muscle fibers. Assessment is limited by the recording radius of electrodes, 1-2 fibers with single-fiber electrodes and 7-15 fibers with concentric or monopolar electrodes. Routine qualitative EMG studies rely on observing MUs in free-run mode and qualitatively estimating common metrics. In contrast, quantitative EMG (QEMG) applied to routine studies includes assessment of individual MUs by software available in modern EMG machines with extraction of discrete values for common metrics, and also derived metrics. This results in greater precision and statistical interpretation. Other QEMG techniques assess muscle fiber density within the MU and time variability at the neuromuscular junction. The interference pattern can also be assessed. The number of MUs innervating a muscle can be estimated. Advanced signal processing, called near-fiber EMG, allows for extraction of underlying muscle fiber contributions to MU waveforms. It is also possible to use QEMG to make statistical probabilities of the state of a muscle as to whether normal, myopathic, or neuropathic. Time to acquire QEMG data is minimal. QEMG is most useful in situations where pathology is uncertain.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Fibras Musculares Esqueléticas / Unión Neuromuscular Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Handb Clin Neurol Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Fibras Musculares Esqueléticas / Unión Neuromuscular Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Handb Clin Neurol Año: 2023 Tipo del documento: Article