Document Type
Article
Publication Date
3-3-2017
Publication Title
Scientific Reports
Volume
7
Pages
1-10
Abstract
It is well established that electrical-stimulation frequency is crucial to determining the scale of induced neuromodulation, particularly when attempting to modulate corticospinal excitability. However, the modulatory effects of stimulation frequency are not only determined by its absolute value but also by other parameters such as power at harmonics. The stimulus pulse shape further influences parameters such as excitation threshold and fiber selectivity. The explicit role of the power in these harmonics in determining the outcome of stimulation has not previously been analyzed. In this study, we adopted an animal model of peripheral electrical stimulation that includes an amplitude-adapted pulse train which induces force enhancements with a corticospinal contribution. We report that the electrical-stimulation-induced force enhancements were correlated with the amplitude of stimulation power harmonics during the amplitude-adapted pulse train. In an exploratory analysis, different levels of correlation were observed between force enhancement and power harmonics of 20–80 Hz (r = 0.4247, p = 0.0243), 100–180 Hz (r = 0.5894, p = 0.0001), 200–280 Hz (r = 0.7002, p < 0.0001), 300–380 Hz (r = 0.7449, p < 0.0001), 400–480 Hz (r = 0.7906, p < 0.0001), 500–600 Hz (r = 0.7717, p < 0.0001), indicating a trend of increasing correlation, specifically at higher order frequency power harmonics. This is a pilot, but important first demonstration that power at high order harmonics in the frequency spectrum of electrical stimulation pulses may contribute to neuromodulation, thus warrant explicit attention in therapy design and analysis.
Recommended Citation
Chen, Chiun-Fan; Bikson, Marom; Chou, Li-Wei; Shan, Chunlei; Khadka, Niranjan; Chen, Wen-Shiang; and Fregni, Felipe, "Higher-Order Power Harmonics of Pulsed Electrical Stimulation Modulates Corticospinal Contribution of Peripheral Nerve Stimulation" (2017). Engineering Science Faculty Publications. 1.
https://ecommons.luc.edu/engineering_facpubs/1
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
© Chiun-Fan Chen, et al. 2017
Included in
Biological and Chemical Physics Commons, Engineering Commons, Neuroscience and Neurobiology Commons
Comments
Author Posting. © The Authors 2017. This article is posted here by permission of Nature Publishing Group for personal use, not for redistribution. The article was published in Scientific Reports, vol. 7, article no. 43619, 2017, http://doi.org/10.1038/srep43619