Magnetic Seizure therapy (MST) is emerging as a treatment for patients suffering from severe depression where an induced current due to an external electromagnetic field is employed. This procedure can only be considered effective when sufficient induced current activates the neurons in the prefrontal cortex. Computer simulation of MST is essential to provide better insight of this procedure and to supplement the clinical trials. To this end, an understanding of transmission of electric impulse through the nerve is considered essential. Stochastic impulse spike sequences are trigged when membrane potential crosses a threshold value. Quantitative numerical predictions employing a mathematical model and induced current defined via Ornstein Uhlenbeck (OU) process predict that both the linear steady-state and rectified models provide adequate threshold adaptation while the rectified model exhibits superior spiking behavior. The present study when combined with suitable numerical simulation of electromagnetic induction is envisaged to aid the MST clinical treatment.
Computational Study of Onset Dynamics in Neuron-Spiking With Threshold Adaptation
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Kavan, LS, Wadkar, A, & Asokanthan, SF. "Computational Study of Onset Dynamics in Neuron-Spiking With Threshold Adaptation." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 3: Biomedical and Biotechnology Engineering. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V003T04A088. ASME. https://doi.org/10.1115/IMECE2018-86689
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