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Estimation of Electric Field Inside a Neural Spheroid by Low-Frequency Magnetic Field Exposure
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- Saito Atsushi
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry
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- Shiina Takeo
- Electric Facility Technology Division, Grid Innovation Research Laboratory, Central Research Institute of Electric Power Industry
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- Sekiba Yoichi
- Power System Analysis Group, Denryoku Computing Center
Bibliographic Information
- Other Title
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- 低周波磁界ばく露による神経スフェロイド内電界分布の推定
- Estimation of electric field inside a neural spheroid by low‐frequency magnetic field exposure
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Description
<p>Exposure to time-varying, low-frequency and high-intensity magnetic field (MF) induce electric field (EF) inside the human body, producing stimulus effects such as nerve fiber excitation or synaptic modulation. To measure such stimulus effects by low-frequency MF expsoure in real-time, we developed a fluorescent recording system using optical fibers that is neither affected by the MF nor affects the MF distribution. In this study, a numerical calculation model composed of voxels with a 6.25 µm spatial resolution was developed. Using this numerical model, we evaluated the distribution of the EF generated inside three-dimensional neuronal tissue called neural spheroid, under 50 Hz sinusoidal wave, 300 mT (root mean square) uniform MF exposure. We also investigated the influence of the optical fiber on the electric field distribution in neural spheroid. As a result, MF produced an induced EF in the neural spheroid of more than 4 V/m, well above the theoretical threshold of synaptic modulation. These results indicated that our experimental system was suitable for the evaluation of the threshold of stimulus effects using neural spheroid.</p>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 144 (5), 411-416, 2024-05-01
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390862943886125952
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- ISSN
- 13488155
- 19429541
- 03854221
- 19429533
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed