Network Centrality in the Human Functional Connectome
Network Centrality in the Human Functional Connectome
复制标题
人类功能连接组中的网络中心性
DOI：
10.1093/cercor/bhr269
复制
发表时间：
2012-08-01
期刊：
影响因子：
3.7
通讯作者：
Milham, Michael P.
中科院分区：
文献类型：
--
作者：
Zuo, Xi-Nian;Ehmke, Ross;Milham, Michael P.
人脑连接体中功能连接的网络结构在体素水平上知之甚少。在这里，使用来自1003名健康成年人的静息状态功能磁共振成像数据，我们研究了一系列广泛的网络中心性指标，以提供对全脑功能网络（即，功能性连接体）。我们首先组装和可视化的体素明智的（4毫米）功能连接体作为一个功能网络。然后，我们证明，每个中心性措施捕捉不同方面的连接，突出考虑全球和本地的功能连接体的连接属性的重要性。除了“检测功能枢纽”，我们将中心性视为大脑连接体内功能连接的量度，并证明其可靠性和表型相关性（即，年龄和性别）。具体来说，我们的分析揭示了与年龄相关的程度中心性，但不是特征向量中心性，楔前叶和后扣带区域内的下降。这意味着，虽然局部或（直接）连接随着年龄的增长而减少，但与大脑中中枢样区域的连接在全球水平上随着年龄的增长而保持稳定。总之，这些研究结果表明，非冗余的各种中心性措施，并提出有关其潜在的生理机制，可能是相关的神经退行性疾病和精神疾病的研究问题。
The network architecture of functional connectivity within the human brain connectome is poorly understood at the voxel level. Here, using resting state functional magnetic resonance imaging data from 1003 healthy adults, we investigate a broad array of network centrality measures to provide novel insights into connectivity within the whole-brain functional network (i.e., the functional connectome). We first assemble and visualize the voxel-wise (4 mm) functional connectome as a functional network. We then demonstrate that each centrality measure captures different aspects of connectivity, highlighting the importance of considering both global and local connectivity properties of the functional connectome. Beyond "detecting functional hubs," we treat centrality as measures of functional connectivity within the brain connectome and demonstrate their reliability and phenotypic correlates (i.e., age and sex). Specifically, our analyses reveal age-related decreases in degree centrality, but not eigenvector centrality, within precuneus and posterior cingulate regions. This implies that while local or (direct) connectivity decreases with age, connections with hub-like regions within the brain remain stable with age at a global level. In sum, these findings demonstrate the nonredundancy of various centrality measures and raise questions regarding their underlying physiological mechanisms that may be relevant to the study of neurodegenerative and psychiatric disorders.