Abstract：Existing noninvasive electromagnetic stimulation technologies, represented by transcranial magnetic stimulation (TMS), the most widely used clinical technology, are still unable to break through the technical bottlenecks of focus and stimulation depth and achieve direct and precise stimulation of deep functional nuclei. Based on the theory of magneto-acoustic coupling, combined with the alternating magnetic field in TMS, we proposed a new non-invasive deep brain stimulation method (magnetic induction-transcranial magneto-acoustic stimulation, MI-TMAS) based on multi-physical field composite, aiming to achieve deep brain stimulation, direct and precise focus stimulation. This paper simulated the stimulation physical fields in MI-TMAS based on the magneto-acoustic coupling theory and magnetic induction theory; and built the MI-TMAS system and multi-physics test platform and conducted actual measurements. Combining simulation and actual measurement results, the focus and electric field strength of the MI-TMAS composite stimulation electric field were explored. The results showed that this method generated three composite stimulation physical fields including focused acoustic field, magneto-acoustic coupling electric field, and magnetic induction electric field in the deep brain target area. By this way, a composite stimulation electric field with width of6.2 mm (-3dB) at a stimulation depth of 50 mm was formed, which is in the deep brain. The focusing of the electric field was significantly better than that of TMS, and the stimulation electrical field intensity was greater than that of TMAS under a steady magnetic field. In conclusion, this method provided a theoretical and technical basis for the MI-TMAS method to be applied to in vivo neuromodulation.
祝凯, 周晓青, 马任, 刘煦, 殷涛, 刘志朋. 基于多物理场复合的新型无创脑深部精准刺激方法探究[J]. 中国生物医学工程学报, 2024, 43(3): 327-337.
Zhu Kai, Zhou Xiaoqing, Ma Ren, Liu Xu, Yin Tao, Liu Zhipeng. Exploration of a Novel Noninvasive Deep Brain Precision Stimulation Method Based on MultiphysicsField Complexes. Chinese Journal of Biomedical Engineering, 2024, 43(3): 327-337.
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