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Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation
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 m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287388/ https://www.ncbi.nlm.nih.gov/pubmed/35840656 http://dx.doi.org/10.1038/s41598-022-16494-8 |
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author | Ye, Hui Chen, Vincent Hendee, Jenna |
author_facet | Ye, Hui Chen, Vincent Hendee, Jenna |
author_sort | Ye, Hui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9287388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92873882022-07-17 Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation Ye, Hui Chen, Vincent Hendee, Jenna Sci Rep Article 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. Nature Publishing Group UK 2022-07-15 /pmc/articles/PMC9287388/ /pubmed/35840656 http://dx.doi.org/10.1038/s41598-022-16494-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ye, Hui Chen, Vincent Hendee, Jenna Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
title | Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
title_full | Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
title_fullStr | Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
title_full_unstemmed | Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
title_short | Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
title_sort | cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287388/ https://www.ncbi.nlm.nih.gov/pubmed/35840656 http://dx.doi.org/10.1038/s41598-022-16494-8 |
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