认知科学
透视图(图形)
神经科学
系统神经科学
计算神经科学
心理学
神经影像学
网络科学
神经功能成像
认知神经科学
计算机科学
人工智能
复杂网络
认知
髓鞘
少突胶质细胞
中枢神经系统
万维网
作者
Richard F. Betzel,Joshua Faskowitz,Olaf Sporns
标识
DOI:10.1016/j.tics.2023.08.009
摘要
Network neuroscience has emphasized the connectional properties of neural elements – cells, populations, and regions. This has come at the expense of the anatomical and functional connections that link these elements to one another. A new perspective – namely one that emphasizes 'edges' – may prove fruitful in addressing outstanding questions in network neuroscience. We highlight one recently proposed 'edge-centric' method and review its current applications, merits, and limitations. We also seek to establish conceptual and mathematical links between this method and previously proposed approaches in the network science and neuroimaging literature. We conclude by presenting several avenues for future work to extend and refine existing edge-centric analysis.
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