Exploring the effect of the nerve conduction distance on the MScanFit method ofmotor unit number estimation (MUNE)

• Published in: Neurophysiologie clinique 2024-09, Vol.54 (5), p.102991, Article 102991
• Main Authors: Boran, H.Evren, Alaydin, Halil Can, Arslan, Ilker, Kocak, Ozlem Kurtkaya, Kılınc, Hasan, Cengiz, Bulent
• Format: Article
• Language: English
• Subjects: Action Potentials - physiology; Adult; Compound muscle action potential (CMAP) amplitude; Electromyography - methods; Female; Humans; Male; Middle Aged; Motor Neurons - physiology; Motor unit number estimation (MUNE); MScanFit; Muscle, Skeletal - innervation; Muscle, Skeletal - physiology; Nerve conduction distance; Neural Conduction - physiology; Reproducibility of Results; Temporal dispersion; Ulnar Nerve - physiology; Young Adult
• ISSN: 0987-7053; 1769-7131; 1769-7131
• DOI: 10.1016/j.neucli.2024.102991

MScanFit motor unit number estimation (MUNE) is a sensitive method for detecting motor unit loss and has demonstrated high reproducibility in various settings. In this study, our aim was to assess the outputs of this method when the nerve conduction distance is increased. MScanFit recordings were obtained from the abductor digiti minimi muscle of 20 healthy volunteers. To evaluate the effect of nerve conduction distance, the ulnar nerve was stimulated from the wrist and elbow respectively. Reproducibility of MUNE, compound muscle action potential (CMAP), and other motor unit parameters were assessed using intraclass correlation coefficients (ICCs). Motor unit numbers obtained from stimulation at the wrist and elbow did not significantly differ and exhibited strong consistency in the ICC test (120.3 ± 23.7 vs. 118.5 ± 27.9, p > 0.05, ICC: 0.88). Similar repeatability values were noted for other parameters. However, the Largest Unit (%) displayed notable variability between the two regions and exhibited a negative correlation with nerve conduction distance. Our findings indicate that MScanFit can consistently calculate motor unit numbers and most of its outputs without substantial influence from nerve conduction distance. Exploring MScanFit's capabilities in various settings could enhance our understanding of its strengths and limitations for extensive use in clinical practice.