Neurophysiological Methods for Motor Unit Number Estimation in Human Muscles

被引:1
|
作者
Schulte-Mattler, W. J. [1 ]
机构
[1] Univ Regensburg, Neurol Klin & Poliklin, D-93053 Regensburg, Germany
关键词
electromyography; electroneurography; motor unit number estimation; amyotrophic lateral sclerosis; INDEX MUNIX;
D O I
10.1055/s-0031-1291229
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The number of motor units is a perfect marker of the severity or the progression of neurogenic muscle weakness, such as, for instance, in amyotrophic lateral sclerosis. The number of motor units cannot be determined exactly, but various methods for its estimation have been described. Methods that impose upon the all or none principle of action potential generation were described first. They require both time and a specially trained examiner. More recently, another method was proposed, the motor unit number index (MUNIX). This method is far less demanding, but its accuracy needs to be determined. Finally, it should be noted that a reduced number of motor units can also be estimated with the standard concentric needle-EMG.
引用
收藏
页码:221 / 225
页数:5
相关论文
共 50 条
  • [1] Neurophysiological Methods for Determining the Number of Motor Units in Human Muscles: An Update
    Grimm, Thomas
    Schulte-Mattler, Wilhelm J.
    KLINISCHE NEUROPHYSIOLOGIE, 2017, 48 (03) : 144 - 150
  • [2] The utility of motor unit number estimation methods versus quantitative motor unit potential analysis in diagnosis of ALS
    Jacobsen, A. B.
    Kristensen, R. S.
    Witt, A.
    Kristensen, G.
    Duez, L.
    Beniczky, S.
    Fuglsang-Frederiksen, A.
    Tankisi, H.
    CLINICAL NEUROPHYSIOLOGY, 2018, 129 (03) : 646 - 653
  • [3] Following disease progression in motor neuron disorders with 3 motor unit number estimation methods
    Jacobsen, Anna Bystrup
    Bostock, Hugh
    Tankisi, Hatice
    MUSCLE & NERVE, 2019, 59 (01) : 82 - 87
  • [4] Reproducibility of motor unit number index and MScanFit motor unit number estimation across intrinsic hand muscles
    Higashihara, Mana
    Menon, Parvathi
    van den Bos, Mehdi
    Pavey, Nathan
    Vucic, Steve
    MUSCLE & NERVE, 2020, 62 (02) : 192 - 200
  • [5] MOTOR UNIT NUMBER ESTIMATION: A TECHNOLOGY AND LITERATURE REVIEW
    Gooch, Clifton L.
    Doherty, Timothy J.
    Chan, K. Ming
    Bromberg, Mark B.
    Lewis, Richard A.
    Stashuk, Dan W.
    Berger, Michael J.
    Andary, Michael T.
    Daube, Jasper R.
    MUSCLE & NERVE, 2014, 50 (06) : 884 - 893
  • [6] Motor unit number estimation in human neurological diseases and animal models
    Shefner, JM
    CLINICAL NEUROPHYSIOLOGY, 2001, 112 (06) : 955 - 964
  • [7] Motor unit number estimation (MUNE): Where are we now?
    de Carvalho, Mamede
    Barkhaus, Paul E.
    Nandedkar, Sanjeev D.
    Swash, Michael
    CLINICAL NEUROPHYSIOLOGY, 2018, 129 (08) : 1507 - 1516
  • [8] Motor unit number estimation based on high-density surface electromyography decomposition
    Peng, Yun
    He, Jinbao
    Yao, Bo
    Li, Sheng
    Zhou, Ping
    Zhang, Yingchun
    CLINICAL NEUROPHYSIOLOGY, 2016, 127 (09) : 3059 - 3065
  • [9] Reproducibility of motor unit number index and multiple point stimulation motor unit number estimation in controls
    Higashihara, Mana
    Menon, Parvathi
    van den Bos, Mehdi
    Geevasinga, Nimeshan
    Vucic, Steve
    MUSCLE & NERVE, 2018, 58 (05) : 660 - 664
  • [10] MScanFit motor unit number estimation of human anconeus muscle
    Zong, Ya
    Lu, Zhiyuan
    Chen, Maoqi
    Xie, Qin
    Zhou, Ping
    MUSCLE & NERVE, 2022, 65 (04) : 460 - 463