Motor unit number estimation by MScanFit in myotonic dystrophies

被引:2
|
作者
Schneider, Christian [1 ,2 ,5 ]
Svacina, Martin K. R.
Kohle, Felix [1 ]
Sprenger-Svacina, Alina
Fink, Gereon R. [1 ,3 ]
Lehmann, Helmar C. [1 ,4 ]
机构
[1] Univ Hosp Cologne, Fac Med, Dept Neurol, Cologne, Germany
[2] St Katharinen Hosp, Dept Neurol, Frechen, Germany
[3] Inst Neurosci & Med INM 3, Res Ctr Juelich, Cognit Neurosci, Julich, Germany
[4] Klinikum Leverkusen, Dept Neurol, Leverkusen, Germany
[5] Univ Hosp Cologne, Dept Neurol, Kerpener Str 62, D-50937 Cologne, Germany
关键词
MUNE; Myotonic dystrophy; MScan; PERIPHERAL NEUROPATHY;
D O I
10.1016/j.jns.2023.120728
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: MScanFit is a new motor unit number estimation (MUNE) technique applied in motor neuron diseases and polyneuropathies to assess clinical progression and underlying disease pathology. So far, its value in myopathies, especially myotonic dystrophies (MD), has not been investigated.Methods: Motor unit loss and characteristics of patients with genetically confirmed MD type 1 (n = 7) and type 2 (n = 5) were investigated using MScanFit of the abductor pollicis brevis muscle and compared to age-matched healthy controls. MUNE measures were correlated with muscle impairment determined by the MRC sum score and handgrip strength.Results: MScanFit detected motor unit loss in patients with MD (p = 0.017). There was no significant difference in motor unit loss between MD type 1 and type 2 (p = 0.64). CMAP-discontinuities which, when added up, exceed 50% of the CMAP amplitude were reduced in MD patients (p = 0.0284), but motor unit amplitudes were not significantly different (p = 0.0597). The motor unit loss strongly correlated with the MRC sum score (p = 0.014, Rho = 0.678).Conclusions: Our study shows the feasibility of MScanFit in MD and its potential to serve as a surrogate marker for overall muscle impairment. Motor unit analysis indicates that neurogenic alterations in both MD subtypes might be present.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] A Progressive Increase in Threshold Variability Impacts Mscanfit Motor Unit Number Estimation in the SOD1G93A Mice and Patients with Amyotrophic Lateral Sclerosis
    Krarup, Christian
    Dimintiyanova, Kristina
    Jensen, Dennis
    Meehan, Claire
    Moldovan, Mihai
    NEUROLOGY, 2021, 96 (15)
  • [42] The myotonic dystrophies
    Thornton, C
    SEMINARS IN NEUROLOGY, 1999, 19 (01) : 25 - 33
  • [43] Myotonic dystrophies
    Schoser, B. G.
    EUROPEAN JOURNAL OF NEUROLOGY, 2017, 24 : 4 - 4
  • [44] Myotonic dystrophies
    Meola, G
    CURRENT OPINION IN NEUROLOGY, 2000, 13 (05) : 519 - 525
  • [45] Myotonic Dystrophies
    Schneider-Gold, C.
    Grimm, T.
    Kress, W.
    Schoser, B.
    AKTUELLE NEUROLOGIE, 2010, 37 (07) : 348 - 356
  • [46] Motor unit action potential topography and its use in motor unit number estimation
    Blok, JH
    Van Dijk, JP
    Zwarts, MJ
    Stegeman, DF
    MUSCLE & NERVE, 2005, 32 (03) : 280 - 291
  • [47] Motor unit number estimation in transected peripheral nerves
    Oge, A. E.
    Kocasoy-Orhan, E.
    Yayla, V.
    Basaran, K.
    Guven, E.
    Baslo, M. B.
    Emekli, U.
    NEUROLOGICAL RESEARCH, 2010, 32 (10) : 1072 - 1076
  • [48] Motor unit number estimation, ALS and clinical trials
    Gooch, CL
    Harati, Y
    AMYOTROPHIC LATERAL SCLEROSIS, 2000, 1 (02): : 71 - 82
  • [49] MOTOR UNIT NUMBER ESTIMATION IN PRIMARY LATERAL SCLEROSIS
    Craciun, L. C.
    Floeter, M.
    MUSCLE & NERVE, 2009, 40 (04) : 710 - 710
  • [50] 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