Studies of brain signal characteristics on the default mode network for applications of BMI

2017 Fiscal Year Final Research Report

• Project/Area Number: 25330293
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Soft computing
• Research Institution: Fukui University of Technology
• Principal Investigator: YAMANISHI TERUYA 福井工業大学, 環境情報学部, 教授 (50298387)
• 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)
• Project Period (FY): 2013-04-01 – 2018-03-31
• Keywords: デフォルトモードネットワーク / Synchronization / Complexity / MEG / EEG

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.

Free Research Field

知能情報学