A new waveform analysis method reflecting the diversity of F-wave Waveforms–Waveform types in healthy subjects based on the combined use of the additive averaging method and histograms

• Published in: Journal of neuroscience methods Vol. 369; p. 109474
• Main Authors: Todo, Marina, Suzuki, Toshiaki, Hanaoka, Masaaki, Asai, Hitoshi
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01-03-2022
• Subjects: Addition averaging; Anterior Horn Cells - physiology; Diversity of F-waves; Electromyography; F-wave parameter; Healthy Volunteers; Histogram; Humans; Motor Neuron Disease; Research Design; Ulnar Nerve - physiology; Waveform analysis; Histogram; Addition averaging; F-wave parameter; Waveform analysis; Diversity of F-waves
• ISSN: 0165-0270; 1872-678X
• DOI: 10.1016/j.jneumeth.2022.109474

F-waves, which are an indicator of the excitability of spinal cord anterior horn cells, are characterized by diverse waveforms. However, no analytical method has yet been development that fully reflects the diversity of such waveforms. The present study examined whether or not the change in the amplitude by the additive averaging process reflects the dispersion of the peak.
The average amplitude of each waveform and the decrease in the amplitude after the additive averaging process were determined. The correlation between the decrease in the amplitude and the density of the peak was then examined. The histogram was also used to classify the type of waveform dispersion based on the characteristics of the peak latency.
No correlation was found between the change in the amplitude and the peak density. However, the F-waves obtained from the ulnar nerve of healthy subjects were able to be classified into five types.
The parameters of an F-wave analysis are the rise latency, the amplitude and the persistence, and many reports have examined F-waves based on the changes in these values. The present study explored new parameters focusing on the waveform of F-waves reflecting the motor unit.
The results of this study may help to establish a standard of comparison when using the F wave to evaluate spasticity due to upper motor neuron disorders.
•Five types of F-wave diversity exist in healthy subjects.•The additive averaging method does not reflect the entire diversity of F-waves.•The diversity of F-waves can be classified using histograms.