Automatic detection of F waves and F-MUNE in two types of motor neuron diseases

Oguz-Akarsu E., Sirin N. G., Artug T., Erbas B., Kocasoy Orhan E., Idrisoğlu H. A., ...Daha Fazla

Muscle and Nerve, cilt.65, sa.4, ss.422-432, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 65 Sayı: 4
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1002/mus.27494
  • Dergi Adı: Muscle and Nerve
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CINAHL, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.422-432
  • Anahtar Kelimeler: amyotrophic lateral sclerosis, F wave, motor unit number estimation, MScanFit, poliomyelitis, signal processing
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

Introduction/Aims: Motor unit number estimation by F waves (F-MUNE) is an uncommonly used MUNE technique. Our aim in this study was to assess the sensitivity of F-MUNE values elicited with newly developed software in motor neuron diseases. Methods: F waves were recorded by 300 submaximal stimuli from abductor digiti minimi and abductor pollicis brevis muscles of 35 patients with amyotrophic lateral sclerosis, 18 with previous poliomyelitis, and 20 controls. The software determined the surface motor unit action potentials (sMUAPs) and calculated the F-MUNE values. Compound muscle action potential scans were also recorded to obtain MScanFit. Results: The sMUAP amplitudes were higher and F-MUNE values were lower in both muscles of the patients when compared with controls. F-MUNE values could distinguish patients from controls. Significant correlations were found between F-MUNE and MScanFit in the patient groups. Discussion: The new F-MUNE software offered promising results in revealing motor unit loss caused by motor neuron diseases.