Numerical Modeling of Plasticity Induced by Quadri-Pulse Stimulation

Quadri-pulse stimulation (QPS), a type of repetitive transcranial magnetic (rTMS), can induce considerable aftereffect on cortical synapses. Human experiments have shown that the effect synaptic efficiency (in terms potentiation or depression) depends time interval between pulses. The maturation biophysically-based models, which describe physiological properties plasticity mathematically, offers beneficial framework to explore induced for new protocols. To model QPS paradigm, phenomenological based knowledge spike timing-dependent (STDP) mechanisms was utilized where cortex builds upon platform neuronal population modeling. Induced modeled both conventional monophasic pulses and unidirectional generated by cTMS device, in total 117 different scenarios. For stimuli, results predictive broadly follow what is typically seen human experiments. Unidirectional produce similar range plasticity. Additionally, changing pulse width had (approximately 20% increase). As positive phase increases, size will also increase. proposed generate predictions guide future Estimating optimizing rTMS protocols might effectively improve safety implications TMS reducing number delivered participants. Finding optimal protocol with maximum potentiation/depression lead design generator device targeted hardware control algorithms.