Finite element simulation model for simulating real human brain electrical characteristic distribution

Abstract

A finite element simulation model for simulating real human brain electrical characteristic distribution is obtained through simulation of a human brain MRI or CT image. The model comprises a scalp layer, a skull layer, a cerebrospinal fluid layer, a pallium layer, an alba layer, a ventricle structure and an eyeball structure composed of a sclera structure and a vitreous body structure, wherein the ventricle structure is an independent structure, and therefore follow-up operation is simplified. The electrical conductivity and relative dielectric constant of the finite element simulation model are identical with those of the real human brain tissue and can be selected from an NIREMF public database according to actual requirements within a magnetic field frequency band of 10 GHz - 100 GHz, and the numerical values of the electrical conductivity and relative dielectric constant are assigned to the finite element simulation model by means of finite element simulation software. By the adoption of the finite element simulation model, real induced electromagnetic field distribution generated in a human brain under magnetic stimulation can be reflected, and the precision and reliability of simulation study are improved greatly.

Description

technical field [0001] The invention relates to a human brain simulation model. In particular, it relates to a finite element simulation model for simulating the distribution of real human brain electrical characteristics. Background technique [0002] Transcranial Magnetic Stimulation (TMS) is an emerging neurostimulation technology in the past 20 to 30 years. With its painless and non-invasive characteristics, convenient operation and higher electrical safety characteristics compared with electrical stimulation technology, it has been well received by brain science. , Neuroscience researchers, and clinicians in the fields of brain and nervous system diseases, mental disorders, neurosis, etc., are widely used in physical therapy for depression, obsessive-compulsive disorder, Parkinson's disease, epilepsy, and post-traumatic stress disorder. . [0003] The basic principle of transcranial magnetic stimulation is to pass a time-varying current in the stimulating coil, so tha...

AI Technical Summary

Problems solved by technology

Since in the course of experimental research, the detection of the induced current or induced electric field of each brain tissue in the living body needs to implant detection electrodes in the brain, and it can only detect the induced electric field or induced current distribution of the cortical part, the damage to the human body is extremely serious. Large, difficult to achieve, and not in line with the purpose of transcranial magnetic stimulation painless and non-invasive, therefore, the current research on transcranial magnetic stimulation technology at home and abroad is mainly realized by means of computer simulation and physical measurement phantom

Due to the limitations of the means of constructing the measured phantom, the currently measured phantoms at home and abroad can only be replaced by spherical phantoms or phantoms that simply approximate the shape of the real brain. The influence of the complex brain structure on the distribution of the induced electromagnetic field cannot be ignored. Simulation or test results do not reflect the real situation

[0005] On the other hand, the computer simulation models used at home and abroad, except for the virtual human at Brooks Air Force Base in the United States, are almost all constructed by researchers themselves, but there are few reports on the reconstruction of the deep structure of the brain in many simulation models

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