| Project/Area Number |
25330293
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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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| Research Field |
Soft computing
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| Research Institution | Fukui University of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
劉 健勤 国立研究開発法人情報通信研究機構, 脳情報通信融合研究センター, 主任研究員 (00395112)
西村 治彦 兵庫県立大学, 応用情報科学研究科, 教授 (40218201)
高橋 哲也 福井大学, 保健管理センター, 特任准教授 (00377459)
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| Project Period (FY) |
2013-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | デフォルトモードネットワーク / Synchronization / Complexity / MEG / EEG / アルツハイマー病 / 脳磁波計測 / 脳波 / 同期指標 / 複雑ネットワーク / 脳情報 / バイオマーカ― / 位相同期 / 脳磁界計測 / 同期現象 / Grangerの因果則 |
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| Outline of Final Research Achievements |
The purpose of this research is to collect and analyze on data of a default mode network (DMN) measured by a magnetoencephalography (MEG) with higher spatial and temporal resolution on brain activities rather than a functional magnetic resonance imaging (fMRI). In order to identify DMN conditions from MEG data, we carried out measuring 7 healthy participants (5 males; 2 females) by MEG, and 8 healthy other ones (8 males) by simultaneously a electroencephalogram (EEG) and MEG. Now it proceeds with analyzing the data. In addition, we have suggested a new way of estimation on brain signals by using two indexes of synchronization and complexity, and have confirmed the effectiveness of this way by application on a healthy control and Alzheimer's disease groups.
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