journal article·2024-08-01Open access

Deep brain temporally interfering magnetic stimulation via parametric characterized spatial array

Xiao Fang, Shaolong Wang, Yaoyao Luo, Yu Lin, Wenlong Yang, Tao Zhang

AIP Advances· Volume 14· Issue 8

Abstract

Transcranial magnetic stimulation (TMS) shows great research potential in human neuroscience. However, when it comes to stimulating deeper brain regions, traditional TMS is restricted by the balance between stimulation focalization and stimulation depth. Temporal interference (TI) stimulation offers a new thought to solve the problem. In this paper, we first discussed the principles of TI-TMS and then established the theoretical model of TI-TMS using the head-surrounded spatial array. Next, we specially designed the parametric characterized spatial array (PCS array) suitable for TI-TMS. The proposed PCS array contains eight special-shaped coils that constitute four sets of difference frequency stimulation pairs and are placed around the human head. Distribution characteristics of the temporally interfering electric fields (E-fields) including stimulation intensity, stimulation focalizations on 1D, 2D, and 3D levels, and attenuation ratios in X, Y, and Z directions were obtained using the finite element analysis method. Our results indicate that the proposed PCS array could form an obvious focusing area with strong stimulation at a stimulation depth of 5 cm below the human scalp while the superficial region is under weak stimulation, which effectively combines the advantages of TMS and TI stimulation. Compared to the traditional TMS systems, the TI-TMS with PCS array can realize selective and focalized stimulation in the deep brain and increase the average attenuation ratio of the induced temporally interfering E-fields by more than 1.93 times. A real human head model containing gray matter was also employed in this paper to verify our results.
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Research context

OpenAlex topics: Transcranial Magnetic Stimulation Studies · EEG and Brain-Computer Interfaces · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology 1 , Chengdu 610059, China

High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan 2 , Chengdu 611731, China

Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China 3 , Chengdu 611731, China

Wuhan National High Magnetic Field Center, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology 4 , Wuhan 430000, China

Funding

Sichuan Science and Technology Program · Open Project Fund of Key Laboratory for NeuroInformation of Ministry of Education

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