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作 者:JIANG TianZi
机构地区:[1]Brainnetome Center,Institute of Automation, Chinese Academy of Sciences [2]National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences [3]Queensland Brain Institute, The University of Queensland,Brisbane [4]Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China
出 处:《Science China(Life Sciences)》2014年第4期462-466,共5页中国科学(生命科学英文版)
基 金:partially supported by the National Basic Research Program of China(2011CB707800);the Strategic Priority Research Program of the Chinese Academy of Sci-ences(XDB02030300);the National Natural Science Foundation of China(91132301,81270020)
摘 要:The brain is organized as a hierarchy of complex networks on different temporal and spatial scales. The complex con- nectivities within the brain are presented in the anatomical architecture as well as dynamic activity. There have long been efforts to make a connection map of the brain [1], and this has now been achieved with the establishment of the connectome [2]. The connectome framework is of central significance for understanding how the brain works at a detailed level [3], however, the connectome can only pro- vide a structural description of the brain [2]. It is essential to understand the brain through integrating multi-level net- work features obtained using various functional and ana- tomical brain imaging technologies on different scales,The brain is organized as a hierarchy of complex networks on different temporal and spatial scales.The complex connectivities within the brain are presented in the anatomical architecture as well as dynamic activity.There have long been efforts to make a connection map of the brain[1],and this has now been achieved with the establishment of
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