2023 Fiscal Year Final Research Report
Visualization of visual pathways using spatiotemporal cortical inverse solution
Project/Area Number |
21K12623
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 90110:Biomedical engineering-related
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Research Institution | Niigata University |
Principal Investigator |
Hori Junichi 新潟大学, 自然科学系, 教授 (80209262)
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Keywords | 脳波逆問題 / 時空間イメージング / 情報伝搬経路 / 視覚誘発電位 / 運動関連電位 / 補間 |
Outline of Final Research Achievements |
In order to visualize information propagation paths in the brain non-invasively in a natural environment, a method to image brain electrical activity with high precision was proposed. The time-series equivalent dipole distributions were estimated from the electroencephalogram measured with a small number of electrodes using interpolation and a spatiotemporal inverse filter. In the simulation, we confirmed that the proposed method can achieve high accuracy imaging equivalent to multiple electrodes. In the human experiment, we confirmed that the obtained propagation pathways for the visual stimulations were consistent with physiological findings. In addition, we improved the accuracy of leg movement identification by visualizing the propagation pathways in the motor cortex. This suggested the possibility of practical application of brain-computer interfaces.
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Free Research Field |
生体医工学
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Academic Significance and Societal Importance of the Research Achievements |
脳波の時間分解能は臨床応用上十分満足しているのに対し,空間分解能は電極数の制限や頭蓋骨など低電導特性が影響し,脳内信号源を推定するには不十分であった.本研究で注目する脳波イメージングによれば、空間分解能の問題を改善でき,さらに時空間解析に拡張することで脳内情報伝搬過程の可視化が期待できる.さらに補間法を適用することにより少数電極によるイメージングが可能となり,より計測の簡略化が達成できる.これまで困難であった視覚情報の脳内情報処理や脚部運動想起の識別が実現できれば,ブレインマシンインタフェースやニューロイメージングといった実用的な場面での神経工学の応用が期待できる.
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