Computational platform combining detailed and precise functionalized anatomical phantoms with EM-Neuron interaction modeling

A computational framework including functionalized anatomical phantoms able to simulate electromagnetic (EM)-neuron interactions in complex tissue-structure environments was developed. The anatomic head model distinguishes a large number of structures, particularly in regions relevant to EM-neuron interactions (i.e., ear, eye, deep brain structures). Multimodal Magnetic Resonance (MR) images were acquired together with Diffusion Tensor Imaging (DTI) data to guide neuron model placement and inform about tissue anisotropy. A dedicated EM solver was implemented and coupled with dynamic models of neuronal activity. The topologically conforming, non-self-intersecting, high-element-quality surfaces are suitable for a wide range of numerical methods and solvers, as demonstrated in an application derived from transcranial alternating current stimulation. The platform was validated against literature data, e.g., on the SENN [1] model which was further extended to account for local thermal effects. Additionally, the EM-neuron coupling simulation platform was also applied to investigate MRI gradient coil switching induced nerve stimulation.