LIU Xiaoxi 1,2,3 , YU Hongli 1,2,3 , GOU Fushuai 1,2,3 , DU Boai 1,2,3 , LU Pengyi 1,2,3 , WANG Chunfang 4,5
  • 1. School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, P. R. China;
  • 2. Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, P. R. China;
  • 3. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, P. R. China;
  • 4. Rehabilitation Medical Department, Tianjin Union Medical Centre, Tianjin 300121, P. R. China;
  • 5. Rehabilitation Medical Research Center of Tianjin, Tianjin 300121, P. R. China;
YU Hongli, Email: yhlzyn@hebut.edu.cn
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Transcranial temporal interference stimulation (tTIS) is a novel non-invasive transcranial electrical stimulation technique that achieves deep brain stimulation through multiple electrodes applying electric fields of different frequencies. Current studies on the mechanism of tTIS effects are primarily based on rodents, but experimental outcomes are often significantly influenced by electrode configurations. To enhance the performance of tTIS within the limited cranial space of rodents, we proposed various electrode configurations for tTIS and conducted finite element simulations using a realistic mouse model. Results demonstrated that ventral-dorsal, four-channel bipolar, and two-channel configurations performed best in terms of focality, diffusion of activated brain regions, and scalp impact, respectively. Compared to traditional transcranial direct current stimulation (tDCS), these configurations improved by 94.83%, 50.59%, and 3 514.58% in the respective evaluation metrics. This study provides a reference for selecting electrode configurations in future tTIS research on rodents.

Citation: LIU Xiaoxi, YU Hongli, GOU Fushuai, DU Boai, LU Pengyi, WANG Chunfang. Quantitative analysis of transcranial temporal interference stimulation in rodents: A simulation study on electrode configurations. Journal of Biomedical Engineering, 2025, 42(2): 280-287. doi: 10.7507/1001-5515.202411054 Copy

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