An edge-centric perspective on the human connectome: link communities in the brain
An edge-centric perspective on the human connectome: link communities in the brain
复制标题
DOI：
10.1098/rstb.2013.0527
复制
发表时间：
2014-10-05
影响因子：
6.3
通讯作者：
van den Heuvel, Martijn P.
中科院分区：
文献类型：
--
作者：
de Reus, Marcel A.;Saenger, Victor M.;van den Heuvel, Martijn P.
大脑功能取决于在一个复杂的神经相互作用网络（称为连接体）中有效地处理和整合信息。连接体结构的一个重要方面是社区结构的存在，为功能特化的发生提供解剖学基础。通常，社区被定义为密集连接的网络节点组，代表大脑区域的集群。从不同的角度来看连接体，而不是关注相互连接的链接或边缘，我们发现大脑区域之间的白色物质通路也表现出社区结构。确定了11个链接社区：5个跨越中线裂，3个通过左半球，3个通过右半球。我们发现，这些链接社区是一致的识别和调查的网络特征，其潜在的白色物质途径。此外，对链接社区和大脑区域之间关系的研究表明，大多数大脑区域参与多个链接社区。特别是，高度连接和中央枢纽区域显示出丰富的社区参与水平，支持这些枢纽作为来自不同领域的神经信息融合的汇合区发挥关键作用的观点。
Brain function depends on efficient processing and integration of information within a complex network of neural interactions, known as the connectome. An important aspect of connectome architecture is the existence of community structure, providing an anatomical basis for the occurrence of functional specialization. Typically, communities are defined as groups of densely connected network nodes, representing clusters of brain regions. Looking at the connectome from a different perspective, instead focusing on the interconnecting links or edges, we find that the white matter pathways between brain regions also exhibit community structure. Eleven link communities were identified: five spanning through the midline fissure, three through the left hemisphere and three through the right hemisphere. We show that these link communities are consistently identifiable and investigate the network characteristics of their underlying white matter pathways. Furthermore, examination of the relationship between link communities and brain regions revealed that the majority of brain regions participate in multiple link communities. In particular, the highly connected and central hub regions showed a rich level of community participation, supporting the notion that these hubs play a pivotal role as confluence zones in which neural information from different domains merges.