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Denk, W., Briggman, K. L., & Helmstaedter, M. (2012). Structural neurobiology: Missing link to a mechanistic understanding of neural computation. Nature Reviews Neuroscience, 13, 351-358.

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  • 标题: 脑网络研究述评A Review on Researches of Brain Networks

    作者: 涂燊, 赵光, 曹晓君, 王婷, 邱江, 张庆林

    关键字: 图论, 脑网络, 模型, 动态变化, 建构主义Graph; Brain Networks; Modeling; Dynamic Changes; Constructivism

    期刊名称: 《Advances in Psychology》, Vol.3 No.6, 2013-11-11

    摘要: 认知神经科学传统的定位式研究方法越来越显示出其局限性,近些年兴起的脑网络研究可以克服这种局限。脑网络研究可以从以下几个方面进行主要的了解:1) 脑网络研究的必要性;2) 脑网络介绍,包括结构网络、功能网络和它们所具有的网络性质,还有两者之间关系的简单探讨;3) 临床网络研究;4) 研究新趋向,包括模型取向及脑网络的动态变化研究;5) 脑网络研究的局限性及挑战。The accumulating evidence shows that the traditional modular paradigm used in the cognitive neuroscience has serious limitations in understanding the brain. However, brain network may overcome the limitation. Brain networks can be understood from following respects: 1) the necessity of brain network studies; 2) introduction to brain networks, including how to construct structural and functional brain networks, properties and relations; 3) clinical brain network studies; 4) the new direction for future brain network studies, including modeling and dynamical changes of brain networks; 5) the limitations of brain network studies and challenges.

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