网络动力学
认知科学
神经科学
动力学(音乐)
连接组学
复杂网络
网络科学
计算机科学
脑功能
意义(存在)
神经生理学
心理学
连接体
功能连接
数学
教育学
离散数学
万维网
心理治疗师
作者
David Papo,Javier M. Buldú
标识
DOI:10.1016/j.plrev.2023.12.006
摘要
Graph theory is now becoming a standard tool in system-level neuroscience. However, endowing observed brain anatomy and dynamics with a complex network structure does not entail that the brain actually works as a network. Asking whether the brain behaves as a network means asking whether network properties count. From the viewpoint of neurophysiology and, possibly, of brain physics, the most substantial issues a network structure may be instrumental in addressing relate to the influence of network properties on brain dynamics and to whether these properties ultimately explain some aspects of brain function. Here, we address the dynamical implications of complex network, examining which aspects and scales of brain activity may be understood to genuinely behave as a network. To do so, we first define the meaning of networkness, and analyse some of its implications. We then examine ways in which brain anatomy and dynamics can be endowed with a network structure and discuss possible ways in which network structure may be shown to represent a genuine organisational principle of brain activity, rather than just a convenient description of its anatomy and dynamics.
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