Mechanisms underlying the functional shift of brain neural circuitry for behavioral adaptation

2018 Fiscal Year Final Research Report

• Project Area: Mechanisms underlying the functional shift of brain neural circuitry for behavioral adaptation
• Project/Area Number: 26112004
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Biological Sciences
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: KOIKE YASUHARU 東京工業大学, 科学技術創成研究院, 教授 (10302978)
• Research Collaborator: YOSHIMURA Natsue ; KAMBARA Hiroyuki
• Project Period (FY): 2014-07-10 – 2019-03-31
• Keywords: 神経科学 / リハビリテーション / 解析・評価 / モデル化

Outline of Final Research Achievements

In this research, analysis technology using mathematical model is developed in order to clarify the neural mechanism involved in circuit transition in the process of learning and circuit reorganization in recovery from disability.
Using synergy concept, many degrees of freedom for brain activities which is measured during motor task was reduced and it became possible to analyze the movement.
In addition, it has become possible to analyze not only functional connections but also effective connections of large-scale neural network using time series data like MRI bold signals, EEG signals, and so on.

Free Research Field

計算論的神経科学

Academic Significance and Societal Importance of the Research Achievements

行動適応を担う神経回路の機能シフト機構を理解するためには、実際の神経活動と行動の間にある複雑な神経回路の構造や環境・身体のダイナミクスを考慮に入れた因果関係を解析できる技術が必須である。本研究では、筋骨格系モデルを用いることで、運動と脳活動の間のダイナミクスを考慮に入れ、脳全体の活動を非侵襲で計測することにより、脳卒中のリハビリテーションにおける脳活動の変化などにも適応できる技術開発を行った。