2023 Fiscal Year Final Research Report
Membrane potential dynamics underlying hippocampal theta oscillations
| Project/Area Number |
20K15926
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 46030:Function of nervous system-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 海馬 |
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| Outline of Final Research Achievements |
In this study, to investigate the mechanism of the generation of theta oscillations in the hippocampus, the local field potentials in the hippocampal CA1 area and membrane potentials of several neurons in the CA1 area were recorded from awake and anesthetized mice. Local field potentials were obtained by the extracellular recording technique using tungsten electrodes, whereas membrane potentials were obtained by the patch-clamp method. We found a weak but significant correlation between the power and frequency of theta oscillations of the membrane potential and theta oscillations of the local field potentials.
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| Free Research Field |
神経生理学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は、記憶・学習や空間ナビゲーションのような海馬の機能と密接に関連するシータ振動に焦点を当てたもので、認知機能や機能障害のモデルの構築に重要なデータとなりうす。シータ振動の生成に潜む精緻な原理を理解することで、アルツハイマー病やその他の認知機能障害など、記憶に関連する疾患に対する新たな介入につながる可能性がある。
さらに、カスタム設計された深層学習モデルが、わずか3つのニューロンの膜電位シータ振動のトレースに基づいてシータ波のトレースを予測できることを実証した。すなわち、複雑な生体信号の解読における機械学習モデルの頑健性を示唆している。
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