| 研究課題/領域番号 |
19K20668
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| 研究機関 | 名古屋工業大学 |
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研究代表者 |
ゴメスタメス ホセデビツト 名古屋工業大学, 工学(系)研究科(研究院), 准教授 (60772902)
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| 研究期間 (年度) |
2019-04-01 – 2022-03-31
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| キーワード | Brain stimulation / TMS / Multiscale modeling / Electric field / Nerve Modelling / Electroceuticals |
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| 研究実績の概要 |
Transcranial magnetic stimulation (TMS) induces a neurostimulation dosage (i.e., electric field) in the brain via a magnetic coil placed over the scalp. A multiscale electrophysiological model was developed to describe how TMS-induced dosage (electric current) interacts with the activation of brain circuits in the human cortex. The model is composed of two parts. One is the estimation of the induced electric current in the head volume conductor model that considers the electrical and anatomical properties of the tissues. The second one is estimating the effects of the induced electric current on large pyramidal brain neurons.
In particular, we developed the model to estimate stimulation thresholds on the hand motor region of the human brain. The computational results were compared with measured stimulation thresholds of TMS eliciting motor responses. We found a significant correlation between experimental and estimated thresholds using the computational model mimicking the same experimental conditions (TMS coil design, position, individualized anatomical head model). At the same time, the stimulation site of the targeted hand muscle was identified. The results have practical implications in clinical practice for estimating the stimulation site based on the TMS mechanism of activation.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
In previous years, we have developed a multi-scale electrophysiological model for TMS. This year, we conducted personalized computational simulations for the individuals who participated in experiments of TMS physiological responses. The simulations were able to predict stimulation thresholds measurements in the experiments confirming the validity of the proposed model.
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| 今後の研究の推進方策 |
In FY2021, the developed model will be used to determine optimized TMS stimulation parameters to deliver the desired dosage amount and position for individual patients in different neighboring brain targets. This will permit to improve the selectivity of TMS to deliver the dosage to specific brain parts.
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