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Related Concept Videos

Brain Imaging01:14

Brain Imaging

629
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
629

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Updated: Jan 7, 2026

Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex
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[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation].

Ting Zhou1,2, Peng Yu2, Yajie Xu2

  • 1School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Temporal interference (TI) electromagnetic stimulation offers precise deep brain modulation, outperforming traditional methods. Future AI integration promises advanced, personalized neuromodulation systems.

Keywords:
Artificial intelligence optimizationDeep brain function modulationElectric field focusingTemporal interference electromagnetic stimulation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Electrophysiology

Background:

  • Temporal interference (TI) stimulation utilizes dual-frequency fields to generate low-frequency envelopes for modulating brain activity.
  • Traditional transcranial stimulation methods lack the focal specificity required for deep brain targets.

Purpose of the Study:

  • To systematically review research progress on TI electromagnetic stimulation for deep brain function modulation.
  • To analyze TI's principles, efficacy, clinical potential, and future directions.

Main Methods:

  • Systematic review of existing research on TI stimulation.
  • Analysis of fundamental principles and simulation studies.
  • Evaluation of clinical applications and technological advancements.

Main Results:

  • TI demonstrates superior focal specificity in deep brain regions compared to conventional transcranial stimulation.
  • Multi-electrode/coil configurations enhance TI's focality and penetration.
  • TI shows potential for Parkinson's disease, working memory enhancement, and epilepsy localization.

Conclusions:

  • TI is a promising technique for precise neuromodulation with potential clinical benefits.
  • Further research on safety, ethics, and AI-driven optimization is crucial for closed-loop systems.
  • Personalized brain network modeling integrated with AI can overcome current limitations.