SynthesisSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2025
[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation].
Synthesis in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- [Electric-field modeling, simulation, and experimental analysis of multi-target temporal interference transcranial alternating current stimulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
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Authors and funding
3 authors.
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Abstract
This article presents a systematic review of the research progress on temporal interference (TI) electromagnetic stimulation for deep brain function modulation. It first analyzes the fundamental principle of generating low-frequency envelopes through the interference of dual-frequency electric or magnetic fields. Combined with simulation studies, this analysis reveals that TI offers superior focal specificity in deep brain regions compared with traditional transcranial electric or magnetic stimulation. The reviewed studies indicate that multi-electrode or multi-coil configurations can substantially enhance the focality and penetration of electric fields in deep brain areas. In clinical applications, TI has shown potential advantages in improving motor symptoms in Parkinson's disease, enhancing working memory, and localizing epileptic foci, though careful evaluation on TI's safety and ethical considerations remains essential. Finally, this review highlights that integrating artificial intelligence-based parameter optimization with personalized brain network modeling represents a key pathway toward overcoming current technical limitations, hoping to lay a theoretical foundation for developing closed-loop precise neuromodulation systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.