计算机科学
神经科学
过程(计算)
脑功能
动态网络分析
动力学(音乐)
拓扑(电路)
网络动力学
认知科学
复杂网络
心理学
计算机网络
生物
数学
离散数学
组合数学
万维网
操作系统
教育学
作者
Andrea Avena-Koenigsberger,Bratislav Mišić,Olaf Sporns
摘要
Neuronal signalling and communication underpin virtually all aspects of brain activity and function. Network science approaches to modelling and analysing the dynamics of communication on networks have proved useful for simulating functional brain connectivity and predicting emergent network states. This Review surveys important aspects of communication dynamics in brain networks. We begin by sketching a conceptual framework that views communication dynamics as a necessary link between the empirical domains of structural and functional connectivity. We then consider how different local and global topological attributes of structural networks support potential patterns of network communication, and how the interactions between network topology and dynamic models can provide additional insights and constraints. We end by proposing that communication dynamics may act as potential generative models of effective connectivity and can offer insight into the mechanisms by which brain networks transform and process information.
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