2022 Fiscal Year Final Research Report
Bifurcation analysis method for transient phenomena and its application to mathematical cardiac systems
| Project/Area Number |
20K11853
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 60100:Computational science-related
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| Research Institution | Kagawa University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 心臓数理モデル / 分岐 / 早期後脱分極 |
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| Outline of Final Research Achievements |
In this study, we developed effective algorithms to investigate transient early afterdepolarizations (EADs) in mathematical cardiac systems. Using this algorithm, we obtained that the transient EADs were caused by increased L-type calcium current and increased intracellular sodium concentration. We also reproduced the deteriorating process of the heart such as normal states to ventricular fibrillation through delayed afterdepolarization (DAD), EAD, and tachycardia.
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| Free Research Field |
数理工学
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| Academic Significance and Societal Importance of the Research Achievements |
従来の数理モデルを用いた解析では，持続的に表れる現象のみが解析対象であった．本研究では，一時的に表れる現象を数理的に解析する手法を提案した．それを心臓数理モデルに適用し，一時的に発生する不整脈の解析に応用した．結果として，持続的に表れる前の，一時的に表れる不整脈が発生するメカニズムを数理的に解明した．それらのことにより，突然死に繋がる不整脈が起こる原因の一端が解明され，突然死のリスクを減らすことにつながる．
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