2022 Fiscal Year Final Research Report

Development and evaluation of mile cognitive impairment screening system for community and home

Research Project

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Project/Area Number	20K11059
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 58080:Gerontological nursing and community health nursing-related
Research Institution	Niigata University of Health and Welfare
Principal Investigator	KODAMA NAOKI 新潟医療福祉大学, 医療技術学部, 教授 (50383146)
Co-Investigator(Kenkyū-buntansha)	浦上克哉鳥取大学, 医学部, 教授 (30213507) 中村匡秀神戸大学, 数理・データサイエンスセンター, 教授 (30324859) 小杉尚子専修大学, ネットワーク情報学部, 教授 (80589648) 佐藤厚新潟リハビリテーション大学(大学院), 医療学部, 講師 (80769745)
Project Period (FY)	2020-04-01 – 2023-03-31
Keywords	軽度認知障害 / 認知症 / 電子ドローイング / スクリーニング / 認知機能 / 自動採点
Outline of Final Research Achievements	This study will collect and accumulate drawing data from the elderly using an electronic drawing system. Then, we will develop a screening system for mild cognitive impairment (MCI) and dementia for use in the community and at home. The study included 105 patients who visited a medical clinic and completed the MMSE, ADAS, Clock Drawing Test (CDT), and Figure Copying Test (CCT). The results of this study showed that elderly patients with longer clock-drawing time on the CDT had higher ADAS and lower MMSE. The elderly with lower average writing pressure had higher ADAS and lower MMSE. Furthermore, the elderly who wrote the numbers of the clock on the CDT in the order of 1 to 12 had higher ADAS and lower MMSE.
Free Research Field	脳機能計測
Academic Significance and Societal Importance of the Research Achievements	CDTとCCTの描画過程を電子保存し、特徴量を抽出することでMMSEやADASなどの認知機能を自動推定できる可能性が示唆された。また、データをさらに蓄積することで、神経心理学的検査の自動採点や認知症および軽度認知障害スクリーニングへの応用が可能になると考えられた。さらに、筆圧測定は運動機能の評価につながる可能性もあり、今後フレイルの早期発見にも役立つものと考えられた。