Document Type
Article
Publication Date
7-15-2022
Publication Title
Scientific Reports
Volume
12
Pages
1-19
Publisher Name
Nature Research
Abstract
Novel stimulation protocols for neuromodulation with magnetic fields are explored in clinical and laboratory settings. Recent evidence suggests that the activation state of the nervous system plays a significant role in the outcome of magnetic stimulation, but the underlying cellular and molecular mechanisms of state-dependency have not been completely investigated. We recently reported that high frequency magnetic stimulation could inhibit neural activity when the neuron was in a low active state. In this paper, we investigate state-dependent neural modulation by applying a magnetic field to single neurons, using the novel micro-coil technology. High frequency magnetic stimulation suppressed single neuron activity in a state-dependent manner. It inhibited neurons in slow-firing states, but spared neurons from fast-firing states, when the same magnetic stimuli were applied. Using a multi-compartment NEURON model, we found that dynamics of voltage-dependent sodium and potassium channels were significantly altered by the magnetic stimulation in the slow-firing neurons, but not in the fast-firing neurons. Variability in neural activity should be monitored and explored to optimize the outcome of magnetic stimulation in basic laboratory research and clinical practice. If selective stimulation can be programmed to match the appropriate neural state, prosthetic implants and brain-machine interfaces can be designed based on these concepts to achieve optimal results.
Identifier
Electronic ISSN: 2045-2322
Recommended Citation
Ye, Hui; Chen, Vincent Chiun-Fan; and Hendee, Jenna, "Cellular Mechanisms Underlying State-Dependent Neural Inhibition with Magnetic Stimulation" (2022). Engineering Science Faculty Publications. 14.
https://ecommons.luc.edu/engineering_facpubs/14
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
© The Author(s), 2022.
Included in
Biomedical Engineering and Bioengineering Commons, Biophysics Commons, Biotechnology Commons, Neurology Commons
Comments
Author Posting © The Author(s) 2022. This work is posted here with permission of the publisher Nature Research for personal use, and for redistribution. This article was published open access in Scientific Reports, Volume 12, (July 15, 2022), https://doi.org/10.1038/s41598-022-16494-8