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Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans
Jose Gomez-Tames1,2, Mariano Fernández-Corazza3
1Department of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan.
Journal of Clinical Medicine
|June 19, 2024
Summary
Computational electric field analysis using head models enhances transcranial electrical stimulation (tES) precision. This review highlights advanced techniques and their correlation with experimental results, paving the way for improved tES clinical applications.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Computational Electrophysiology
Background:
- Transcranial electrical stimulation (tES) shows clinical potential but suffers from variable outcomes due to imprecise current delivery.
- Computational electric field analysis using accurate head models offers a solution for optimizing tES parameters.
- This review synthesizes recent advancements in computational approaches for tES.
Purpose of the Study:
- To review recent computational electric field analysis studies in tES.
- To provide a background on adopting these computational methods in medical applications.
- To assess the maturity and clinical relevance of current computational pipelines for tES.
Main Methods:
- A systematic literature search was conducted on the Web of Science database.
- 57 relevant studies were selected based on title, abstract, and full-content screening.
- Key trends in computational electric field analysis for tES were identified and summarized.
Main Results:
- Recent studies focus on individual and population-level electric field analysis, including diverse head models.
- Advanced optimization techniques enable precise control over electric field focality and direction.
- A growing correlation exists between computationally predicted electric fields and experimental outcomes.
Conclusions:
- Computational pipelines and optimization algorithms for tES are sufficiently mature for practical use.
- These advancements provide a basis for refining tES experimental design and data analysis.
- Improved computational methods are expected to support and enhance clinical tES studies.
Keywords:
FEMbrain templatecomputational modelcurrent densityelectric fieldneurostimulationoptimizationtACStDCStEStranscranial electrical stimulationMore Related Videos
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