| 研究課題/領域番号 |
23K27210
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| 補助金の研究課題番号 |
23H02518 (2023)
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| 研究種目 |
基盤研究(B)
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| 配分区分 | 基金 (2024)
補助金 (2023) |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分44050:動物生理化学、生理学および行動学関連
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| 研究機関 | 沖縄科学技術大学院大学 |
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研究代表者 |
REITER Samuel 沖縄科学技術大学院大学, 計算行動神経科学ユ ニット, 准教授 (60869155)
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| 研究分担者 |
史 蕭逸 筑波大学, 国際統合睡眠医科学研究機構, 助教 (40803656)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2024年度)
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| 配分額 *注記 |
18,850千円 (直接経費: 14,500千円、間接経費: 4,350千円)
2025年度: 6,370千円 (直接経費: 4,900千円、間接経費: 1,470千円)
2024年度: 5,460千円 (直接経費: 4,200千円、間接経費: 1,260千円)
2023年度: 7,020千円 (直接経費: 5,400千円、間接経費: 1,620千円)
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| キーワード | REM sleep / Electrophysiology / Sleep / octopus / mice / electrophysiology / computer vision / REM |
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| 研究開始時の研究の概要 |
Through large scale electrophysiological recordings in sleeping octopus and mice, we seek to find common features that point tow
ards general principles of sleep mechanism and function.
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| 研究実績の概要 |
In FY 2023, we released our first study related to the Kiban B grant. This research focused on the behavioral and neural correlates of two-stage sleep in octopuses, revealing similarities with vertebrate sleep that suggest these aspects may represent convergent features of biological intelligence. Published in the journal Nature, our study attracted coverage in hundreds of news articles globally. We have discussed this study internationally at conferences and seminars, and appeared on television several times explaining our work.
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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
Our work in the past year has concentrated on physiological recordings from octopus and mice. In octopus, we have recorded active sleep dynamics across different stages of the octopus’ lifecycle, and are currently analyzing the resulting large datasets using computer vision tools. In mice, we have recorded EEG/EMG data from 30-40 mice under various conditions, including drug-dependent increases and decreases in NREM/REM perturbation. We identified several characteristic EEG patterns preceding the down state, an important cortical activity for memory consolidation. These correlations were also confirmed in human EEG data analysis.
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| 今後の研究の推進方策 |
Next year, we will utilize mathematical models to understand the mechanisms and functions of the coupling between the identified EEG patterns and the down state in mouse sleep recordings. We will analyze how octopus active sleep differs across life stages, both in terms of changes in the rhythmic alternation between active and quiet sleep, and in terms of the dynamics of skin pattern change. We will then seek to relate the changes we see across octopus and mice sleep, to look for parallels.
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