Investigating the Impact of Transcranial Magnetic Stimulation on Single Neuron Subcellular Dynamics

Transcranial Magnetic Stimulation (TMS) has emerged as a powerful tool for non-invasive neuromodulation, offering unique insights into the dynamics of neural activity. This paper presents an innovative computational model aimed at elucidating the effectiveness of TMS pulses on single neuron subcellular dynamics. Leveraging biophysically and morphologically realistic neuron models, we simulate the impact of TMS across various stimulation paradigms, shedding light on the intricate interplay between external magnetic fields and neuronal response. Our model integrates insights from diverse studies, including cortical stimulation models, simulations in realistic head geometry, and multi-scale considerations of axonal and dendritic polarization. Additionally, we explore the repercussions of repetitive TMS (rTMS) on homeostatic rewiring in recurrent neuronal networks. The model also accounts for immediate effects on single cortical pyramidal neurons, slow periodic activity in hippocampal slices, and the role of microglial cytokines in plasticity induced by ۱۰ Hz repetitive magnetic stimulation. Through our computational framework, we investigate the nuanced dynamics induced by TMS pulses at the subcellular level, considering the influence on excitatory postsynapses, intrinsic cellular properties, and synaptic plasticity. The model extends its scope to analyze the threshold for plasticity determined by axon morphology and intrinsic cellular properties. This study contributes to the growing body of research on TMS by providing a detailed examination of the impact of TMS pulses on single neuron subcellular dynamics. Our findings illuminate the complex and dose-dependent nature of TMS-induced effects on neuronal circuits, offering valuable insights for refining TMS protocols and advancing our understanding of neurostimulation mechanisms.

کلیدواژه ها:

transcranial magnetic stimulation(TMS) ، neural circuit ، computational modeling ، Neurostimulation ، Neuronal Networks