Functional properties of resting state networks in healthy full-term newborns.
Functional properties of resting state networks in healthy full-term newborns.
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DOI：
10.1038/srep17755
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发表时间：
2015-12-07
影响因子：
4.6
通讯作者：
Limperopoulos C
中科院分区：
文献类型：
--
作者：
De Asis-Cruz J;Bouyssi-Kobar M;Evangelou I;Vezina G;Limperopoulos C
对高危新生儿进行客观、早期和非侵入性的脑功能评估，对于及时采取干预措施和尽量减少长期神经发育障碍至关重要。然而，识别偏离正常的先决条件是获得来自健康足月新生儿的脑功能基线测量。最近的进展，功能磁共振成像结合图论技术可能会提供重要的，目前无法获得的，正常神经发育的定量标志物。在目前的研究中，我们描述了60个健康的，足月的，未镇静的新生儿的静息状态网络的重要特性。新生儿的大脑表现出一个高效和经济的小世界拓扑结构：密集连接的附近区域，稀疏，但整合良好，远距离连接，小世界指数大于1，全球/本地效率大于网络成本。这些网络显示出重尾度分布，表明存在与其他区域（“枢纽”）联系更紧密的区域。这些枢纽，确定使用度和介数中心性措施，显示了一个更成熟的枢纽组织比以前报道的。对枢纽的有针对性的攻击表明，新生网络比模拟的无标度网络更具弹性。当介数（而不是度）被攻击时，网络碎片化速度更快，全局效率下降更快，这表明介数中心在新生儿网络中的作用更有影响力。
Objective, early, and non-invasive assessment of brain function in high-risk newborns is critical to initiate timely interventions and to minimize long-term neurodevelopmental disabilities. A prerequisite to identifying deviations from normal, however, is the availability of baseline measures of brain function derived from healthy, full-term newborns. Recent advances in functional MRI combined with graph theoretic techniques may provide important, currently unavailable, quantitative markers of normal neurodevelopment. In the current study, we describe important properties of resting state networks in 60 healthy, full-term, unsedated newborns. The neonate brain exhibited an efficient and economical small world topology: densely connected nearby regions, sparse, but well integrated, distant connections, a small world index greater than 1, and global/local efficiency greater than network cost. These networks showed a heavy-tailed degree distribution, suggesting the presence of regions that are more richly connected to others (‘hubs’). These hubs, identified using degree and betweenness centrality measures, show a more mature hub organization than previously reported. Targeted attacks on hubs show that neonate networks are more resilient than simulated scale-free networks. Networks fragmented faster and global efficiency decreased faster when betweenness, as opposed to degree, hubs were attacked suggesting a more influential role of betweenness hub in the neonate network.