Identification of spatiotemporal brain activity patterns triggering global state changes in functional brain networks

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K15610
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 51010:Basic brain sciences-related
• Research Institution: Hiroshima University (2023); Nara Institute of Science and Technology (2021-2022)
• Principal Investigator: Fukushima Makoto 広島大学, 先進理工系科学研究科(工), 准教授 (70836452)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 脳機能ネットワーク / 安静時脳活動 / 時変ネットワーク / モジュラリティ / 機能的分離・統合

Outline of Final Research Achievements

In this study, we focused on the spatiotemporal dynamics of brain activity used to derive functional brain networks, and clarified the nature of the brain activity dynamics behind global state fluctuations in functional brain networks, characterized as switching between segregated and integrated states, through simulation analysis based on structural brain networks. In particular, we found that packet-based communication must be incorporated into the brain activity dynamics to efficiently exchange information between regions at the global level.

Free Research Field

脳計測科学

Academic Significance and Societal Importance of the Research Achievements

分離状態と統合状態の切り替わりによって特徴づけられる脳機能ネットワークの大域的状態変化は，これまで実世界のさまざまな行動・生理指標との関連が報告されているものの，その生成メカニズムはよくわかっていない．本研究において，その背後にある脳活動ダイナミクスが効率のよい領野間情報通信のためにもつべき性質を明らかにしたことは，脳機能ネットワークの大域的状態変化の生成メカニズムの候補をしぼることを可能にした点において学術的・社会的意義をもつ．