| Project/Area Number |
18K10807
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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 59010:Rehabilitation science-related
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| Research Institution | Prefectural University of Hiroshima (2021-2023)
Kyushu University of Health and Welfare (2018-2020) |
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Principal Investigator |
Mutsuhide Tanaka 県立広島大学, 保健福祉学部(三原キャンパス), 講師 (20412835)
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| Co-Investigator(Kenkyū-buntansha) |
江口 喜久雄 九州保健福祉大学, 保健科学部, 助教 (90805053)
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| Project Period (FY) |
2018-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 認知フレイル / 安静時脳波 / デフォルトモードネットワーク / 姿勢バランス / 認知的フレイル / 認知機能フレイル / 身体機能フレイル / 虚弱高齢者 / 脳波解析 |
|---|
| Outline of Final Research Achievements |
Older adults with subjective cognitive impairment, a precursor to mild cognitive impairment (defined as "pre-MCI"), showed no significant differences in physical functions, such as grip strength and walking speed, compared to non-MCI participants. However, similar to those with dementia, pre-MCI participants exhibited a significant increase in center-of-pressure sway (trajectory length per unit area). Resting-state EEG measurements revealed a tendency for reduced alpha band activity in the parietal region, part of the default mode network, consistent with previous studies on Alzheimer's disease and MCI. The COVID-19 pandemic limited our ability to obtain a sufficient sample size. Future research will focus on identifying frailty-specific brain activity patterns associated with cognitive function.
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| Academic Significance and Societal Importance of the Research Achievements |
軽度認知障害（MCI）の前段階である主観的認知障害（前MCI）の高齢者においても，アルツハイマー型認知症やMCI高齢者と類似する身体的・神経生理学的特性の傾向を認めたことから，今後も研究を継続することで，簡便な身体機能測定と脳波測定による認知症リスクの高い高齢者のスクリーニング手法が確立される可能性が示唆された．
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