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Cellular mechanisms underlying state-dependent neural inhibition with magnetic stimulation.
Ye, Hui; Chen, Vincent; Hendee, Jenna.
Affiliation
  • Ye H; Department of Biology, Quinlan Life Sciences Education and Research Center, Loyola University Chicago, 1032 W. Sheridan Rd., Chicago, IL, 60660, USA. hye1@luc.edu.
  • Chen V; Engineering Program, Loyola University Chicago, Chicago, IL, USA.
  • Hendee J; Department of Biology, Quinlan Life Sciences Education and Research Center, Loyola University Chicago, 1032 W. Sheridan Rd., Chicago, IL, 60660, USA.
Sci Rep ; 12(1): 12131, 2022 07 15.
Article in En | MEDLINE | ID: mdl-35840656
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Neurological / Neural Inhibition Type of study: Guideline Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Neurological / Neural Inhibition Type of study: Guideline Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: Estados Unidos