Hierarchical organization of human cortical networks in health and schizophrenia.
Hierarchical organization of human cortical networks in health and schizophrenia.
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DOI：
10.1523/jneurosci.1929-08.2008
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发表时间：
2008-09-10
期刊：
影响因子：
--
通讯作者：
Meyer-Lindenberg A
中科院分区：
文献类型：
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作者：
Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
人脑中连通性的复杂组织尚不完全理解。最近，基于图理论的拓扑度量提供了一种量化大规模皮质网络的新方法。这些方法已应用于非人类物种的解剖连通性数据，并且已显示皮质网络具有小世界拓扑，与信息传递的局部和全球效率高有关。从皮质厚度测量中得出的解剖网络已显示出健康人脑的相同组织特性，与从静止状态功能MRI和MEG数据得出的功能网络中报道的相似结果一致。在这里，我们显示，使用磁共振成像中灰质体积的区域间协变（MRI）数据（259位健康志愿者）的分析得出的解剖网络，这些志愿者的经典划分（多峰，单峰和跨模态）具有一些独特的拓扑属性。尽管所有皮层分裂都具有小世界和有效接线的非随机特性（在连接区域之间的平均平均欧几里得距离），但多模式网络具有一个层次组织，由额叶群的层次群体主导，其额叶集群低，而跨度网络则是跨型网络的。此外，在203名精神分裂症患者的样本中，多模式网络组织是异常的，如层次降低，额叶的丢失和非额外枢纽的出现以及增加的连接距离所表明的那样。我们建议，正常皮层分裂之间的拓扑差异可能代表了多模式和跨模式网络不同生长过程的结果。精神分裂症的神经发育异常特别影响了多模式皮质组织。
The complex organization of connectivity in the human brain is incompletely understood. Recently, topological measures based on graph theory have provided a new approach to quantify large-scale cortical networks. These methods have been applied to anatomical connectivity data on non-human species and cortical networks have been shown to have small-world topology, associated with high local and global efficiency of information transfer. Anatomical networks derived from cortical thickness measurements have shown the same organizational properties of the healthy human brain, consistent with similar results reported in functional networks derived from resting state functional MRI and MEG data. Here we show, using anatomical networks derived from analysis of inter-regional covariation of gray matter volume in magnetic resonance imaging (MRI) data on 259 healthy volunteers, that classical divisions of cortex (multimodal, unimodal and transmodal) have some distinct topological attributes. While all cortical divisions shared non-random properties of small-worldness and efficient wiring (short mean Euclidean distance between connected regions), the multimodal network had a hierarchical organization, dominated by frontal hubs with low clustering, whereas the transmodal network was assortative. Moreover, in a sample of 203 people with schizophrenia, multimodal network organization was abnormal, as indicated by reduced hierarchy, the loss of frontal and the emergence of non-frontal hubs, and increased connection distance. We propose that the topological differences between divisions of normal cortex may represent the outcome of different growth processes for multimodal and transmodal networks; and that neurodevelopmental abnormalities in schizophrenia specifically impact multimodal cortical organization.