大脑及其他领域的高阶三元功能连接
High-Order Triadic Functional Connectivity in the Brain and Beyond
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中文总结 AI 辅助
该研究提出高阶三元功能连接框架，引入矩阵熵功能方法估计脑区三元交互，可区分静息与任务态脑活动，其网络结构独特且可解释，为脑连接组研究提供新方向。
中文摘要 AI 辅助
本文提出高阶功能网络连接是研究大脑连接组的一种有前景的方法。传统功能连接方法仅捕获脑区之间的成对关系，忽略了认知和行为背后的复杂多元依赖。首先，我们证明高阶交互能捕获更多信息，可区分静息态与任务态脑活动。其次，我们引入一种基于矩阵的熵功能方法来估计三元交互（即三个脑区之间的统计依赖），并将其应用于大规模功能脑网络。所得三元网络呈现出与传统成对功能连接分析互补的独特社区模式，同时捕获了额外的连接信息。尽管三元配置可能存在组合爆炸问题，但这些网络表现出受限的层级结构，便于计算与解释。这些发现确立了三元连接作为探测脑网络组织与高阶神经交互的有前景的下一代功能连接框架，同时指出了需仔细考量的关键生物学与技术挑战。
英文摘要
Here, we report high-order functional network connectivity as a promising way for studying the brain connectome. Traditional functional connectivity approaches capture only pairwise relationships between brain regions, overlooking complex multivariate dependencies that underlie cognition and behavior. First, we demonstrated that high-order interactions capture more information and can distinguish between resting-state and task-state brain activity. Second, we introduce a matrix-based entropy-functional method for estimating triadic interactions, which are statistical dependencies among triplets of brain regions, and apply it to large-scale functional brain networks. The resulting triadic networks revealed distinct community patterns that complement those observed in traditional pairwise functional connectivity analyses and simultaneously capture additional connection information. Despite the potential combinatorial explosion of triadic configurations, the networks exhibited constrained and hierarchical structures that allowed computation and interpretation. These findings position triadic connectivity as a promising next-step functional connectivity framework for probing brain network organization and high-order neural interactions, while also highlighting key biological and technical challenges that require careful consideration.
发表机构
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University（佐治亚州立大学、佐治亚理工学院和埃默里大学联合转化神经影像与数据科学研究中心）
- Department of Psychology, University of Texas at Austin（德克萨斯大学奥斯汀分校心理学系）
- Department of Biomedical Engineering, Tulane University（杜兰大学生物医学工程系）
- Department of Psychiatry, Yale University（耶鲁大学精神病学系）
- Department of Neuroscience, Yale University（耶鲁大学神经科学系）
- Olin Neuropsychiatry Research Center, Hartford Hospital（哈特福德医院奥林神经精神病学研究中心）
- Neuroscience Institute, Georgia State University（佐治亚州立大学神经科学研究所）
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