Background: In clinical practice, small myelinated sensory fibers conveying pain and other sensations, Aδ-fibers, cannot be examined with available nerve conduction study techniques. New method: Equipment available in clinical neurophysiology laboratories is used to record from human sensory nerves multiple averaged responses to non-painful stimulation of intraepidermal nerves. Ten averaged responses are analyzed in all possible pair combinations with an algorithm applied to a 0.45 ms period of amplitude and frequency (power spectrum). The median of the algorithms is compared to control data to identify potentials generated as response to intraepidermal stimulation. Results: Median analysis of the algorithm applied to amplitude and frequency of multiple record pairs identifies potentials with conduction velocities of Aδ-fibers. The analysis of frequency (power spectrum) adds data to the analysis of amplitude. Median analysis of multiple record pairs yields more data than analysis of one pair of alternate averages with the same algorithms. Comparison with existing method(s): At present, analysis of one pair of alternate average records with an algorithm is the only method to identify Aδ-fiber generated potentials. Median analysis of the same algorithm applied to the amplitude of multiple record pairs increases the number of Aδ-fiber generated potentials identified. Neither median analysis of amplitude nor frequency of multiple records pairs has ever been used for conduction studies of nerve fibers, including Aδ-fibers. Conclusions: Stimulation, recording and data analysis methods used in this study can be applied in the clinical EMG laboratory to identify the conduction velocities of Aδ-fibers in human sensory nerves.
|Original language||English (US)|
|Journal||Journal of Neuroscience Methods|
|Early online date||Oct 8 2021|
|State||Published - Jan 1 2022|
Bibliographical noteFunding Information:
We thank Dr. T. Netoff, Department of Biomedical Engineering, University of Minnesota, for his invaluable advice regarding frequency analysis.
© 2021 Elsevier B.V.
- Analysis of record pairs
- Intraepidermal stimulation
- Near nerve recording
- Sensory nerve conduction
PubMed: MeSH publication types
- Journal Article