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Application of Electrophysiological Techniques in Assessing of Neuromuscular Junction- Related Disorders

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机构: [1]Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Affiliated Hosp, Dept Orthoped, Kunming, Yunnan, Peoples R China [2]Key Lab Digital Orthoped Yunnan Prov, Kunming, Yunnan, Peoples R China [3]Hebei Univ Technol, Affiliated Hosp, Dept Rehabil, Handan, Peoples R China
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关键词: Electrophysiology Neuromuscular junction Repetitive nerve stimulation Single fiber electromyography

摘要:
This review aims to comprehensively summarize the application of electrophysiological methods, specifically repetitive nerve stimulation (RNS) and single fiber electromyography (SFEMG), in the diagnosis of neuromuscular junction (NMJ) disorders, including myasthenia gravis, Lambert-Eaton syndrome, and sarcopenia in the elderly. Both RNS and SFEMG have demonstrated high sensitivity and specificity in detecting NMJ abnormalities. RNS aids in distinguishing presynaptic from postsynaptic lesions, while SFEMG provides direct evidence of NMJ function by assessing single motor unit action potentials. Key parameters in SFEMG, such as fiber density, jitter, and pulse blocking, are crucial for evaluating NMJ function. Increased fiber density and jitter value, along with pulse blocking, are often observed in patients with NMJ disorders. However, despite the extensive application of these techniques in various NMJrelated diseases, their role in aging, particularly in sarcopenic patients, remains underexplored, highlighting the need for future research.

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大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 外科
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Q2 SURGERY Q3 CLINICAL NEUROLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2024版] 出版当年五年平均 出版前一年[2023版]

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第一作者机构: [1]Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Affiliated Hosp, Dept Orthoped, Kunming, Yunnan, Peoples R China [2]Key Lab Digital Orthoped Yunnan Prov, Kunming, Yunnan, Peoples R China
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通讯机构: [1]Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Affiliated Hosp, Dept Orthoped, Kunming, Yunnan, Peoples R China [2]Key Lab Digital Orthoped Yunnan Prov, Kunming, Yunnan, Peoples R China
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