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Plovie, T.

Publications and source records attributed to Plovie, T..

2 recordsLinked to original sources

Action Potential Threshold Variability for Different Electrostimulation Models and the Impact on Occupational Exposure Limit Values

Occupational exposure limit values (ELVs) for body internal electric fields can be derived from thresholds for action potential generation. These thresholds can be calculated with electrostimulation models. The spatially extended nonlinear node model (SENN) is often used to determine such thresholds. An important part of these models are the membrane channel dynamics describing the ionic transmembrane currents. This work shows how ELVs change significantly with different ion channel dynamics (up to a factor of 22). Furthermore, two more detailed double-cable models by Gaines et al. (MRG-Sensory and MRG-Motor) are also considered in this work. Thresholds calculated with the SENN model (with Frankenhaeuser-Huxley membrane channel dynamics) and the MRG models are compared for frequencies between 1 Hz and 100 kHz and temperatures between 22 {degrees}C and 37 {degrees}C. Results show that MRG thresholds are lower than SENN thresholds. In the context of occupational ELVs, using the double cable model would lead to approximately ten times lower limit values. Therefore, future exposure guidelines should take the influence of different electrostimulation models into account when deriving ELVs. HighlightsO_LIDifferent membrane channel dynamics change derived exposure limit values by more than one order of magnitude. C_LIO_LIDouble-cable models result in a reduction of derived exposure limit values by one order of magnitude. C_LIO_LILower temperatures reduce the action potential thresholds at frequencies below 300 Hz. C_LI

physiology↗

Non-linearities and Timescales in Temporal Interference Deep Brain Stimulation

In temporal interference (TI) stimulation, neuronal cells react to two interfering sinusoidal electric fields with a slightly different frequency. It was previously seen that for the same input intensity, the neurons do not react to a purely sinusoidal signal. This study aims to get a better understanding of the mechanism underlying TI neuromodulation, which is largely unknown. To this end, single-compartment models are used to simulate computationally the response of neurons to the sinusoidal and TI waveform. This study compares different neuron models to get insight into which models are able to reproduce the experimental observations. It was found that integrate- and-fire models do not entirely reflect the experimental behavior while the Hodgkin-Huxley and Frankenhaeuser-Huxley model do reflect this behavior. Changing the characteristics of the ion gates in the Frankenhaeuser-Huxley model alters the response to both the sinusoidal and TI signal, possibly reducing the firing threshold of the sinusoidal input below that of the TI input. The model results show that TI stimulation is not qualitatively impacted by nonlinearities in the current-voltage relation. In contrast, ion channels have a significant impact on the neuronal response. This paper makes advances both in terms of biophysical insight into the neuron as well as the insight in computational modelling of TI stimulation.

neuroscience↗