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

Abstract

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.

Time resolved dosimetry of human brain exposed to low frequency pulsed magnetic fields

“…Time resolved dosimetry assumes particular importance if one wants to identify a threshold for the onset of specific effects in the brain. Moreover, since observed experimental effects seem to be related to the specific waveform and frequency content (Cook et al 2009, Camera et al 2015, the knowledge of E and J time courses in brain tissues is unavoidable to predict neuronal responses using biophysical models.…”

“…Therefore, the importance of a time resolved dosimetry, accounting for dispersive tissues behavior becomes evident, even considering that the knowledge of the exact signal waveform is fundamental for studying neuronal responses using biophysical models (Giannì et al 2005, Paffi et al 2013a, 2015a, Stodilka et al 2011, Camera et al 2015.…”

A Computational Model for Real-Time Calculation of Electric Field due to Transcranial Magnetic Stimulation in Clinics

“…In fact, knowledge of the induced ⃗ field distribution is fundamental for evaluating position, level, and extent of the stimulation. In addition dosimetry, when coupled with biophysical neuronal models [5][6][7], is useful for interpreting experimental results, designing more efficient applicators [8][9][10], and clarifying possible mechanisms of action of electromagnetic fields on the brain [11].…”