• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2021 Fiscal Year Final Research Report

Estimation of cognitive error risk by using neurofeedback driven dynamic functional connectivity

Research Project

  • PDF
Project/Area Number 19H04025
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 59030:Physical education, and physical and health education-related
Research InstitutionOsaka University

Principal Investigator

Nakai Toshiharu  大阪大学, 歯学研究科, 招へい教授 (30344170)

Co-Investigator(Kenkyū-buntansha) Bagarinao E.  名古屋大学, 医学系研究科(保健), 准教授 (00443218)
加藤 昇平  名古屋工業大学, 工学(系)研究科(研究院), 教授 (70311032)
鈴木 敦命  東京大学, 大学院人文社会系研究科(文学部), 准教授 (80547498)
Project Period (FY) 2019-04-01 – 2022-03-31
Keywordsニューロフィードバック / fMRI / BMI / 運動処方 / 加齢 / 運動認知訓練 / 脳機能計測 / 神経機能動態結合
Outline of Final Research Achievements

Real-time functional magnetic resonance imaging, coupled with machine learning to operate a small humanoid robot to give visual feedback of body coordinate representation, has enabled real-time classification of brain activation patterns that could represent performance of motor imagery. It was suggested that such neurofeedback (NF) training could be characterized by dynamic changes of activation patterns as the training progressed to estimate cognitive reserve (CR) in older adults. By employing updating of the used classifier every after feedback-scan to account for its temporal change, and combining with two-dimensional expansion of the classifier, 4 classes separation of the imagery movements (right/left, hand/foot) could be successfully demonstrated in both age groups. Detection and accuracy rate of imagery assignment in older subjects suggested that NF trainings are valid to evaluate CR for risk assessments in their daily life.

Free Research Field

神経情報学

Academic Significance and Societal Importance of the Research Achievements

NF計測に基づく学習過程で観測される脳活動の時間軸変化と行動データの相関觧析から得られる諸指標は運動学習を通した認知機能の予備能力(cognitive reserve)を推定する指標として応用が期待される。近年、高齢者を対象とした健康増進事業が盛んであるが、今後個人の認知機能の状態を考慮しながら運動処方を最適化し、日常生活リスクを推定する上で參考指標のひとつとなろう。また、身体座標感覚に近似させた、より直感的なBMI操作の実現に寄与すると期待される。国際ワークショップ(BrainConnects)の運営を通してASEAN諸国との共同研究と人事交流をより一層推進出来た。

URL: 

Published: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi