The CNP signal is able to silence a supra threshold neuronal model

Several experimental results published in the literature showed that weak pulsed magnetic fields affected the response of the central nervous system. However, the specific biological mechanisms that regulate the observed behaviors are still unclear and further scientific investigation is required. I...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in computational neuroscience Vol. 9; p. 44
Main Authors Camera, Francesca, Paffi, Alessandra, Thomas, Alex W, Apollonio, Francesca, D'Inzeo, Guglielmo, Prato, Frank S, Liberti, Micaela
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 28.04.2015
Frontiers Media S.A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Several experimental results published in the literature showed that weak pulsed magnetic fields affected the response of the central nervous system. However, the specific biological mechanisms that regulate the observed behaviors are still unclear and further scientific investigation is required. In this work we performed simulations on a neuronal network model exposed to a specific pulsed magnetic field signal that seems to be very effective in modulating the brain activity: the Complex Neuroelectromagnetic Pulse (CNP). Results show that CNP can silence the neurons of a feed-forward network for signal intensities that depend on the strength of the bias current, the endogenous noise level and the specific waveforms of the pulses. Therefore, it is conceivable that a neuronal network model responds to the CNP signal with an inhibition of its activity. Further studies on more realistic neuronal networks are needed to clarify if such an inhibitory effect on neuronal tissue may be the basis of the induced analgesia seen in humans and the antinociceptive effects seen in animals when exposed to the CNP.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Reviewed by: Xin Tian, Tianjin Medical University, China; Ferdinando Bersani, University of Bologna, Italy
Edited by: Omri Barak, Technion, Israel
ISSN:1662-5188
1662-5188
DOI:10.3389/fncom.2015.00044