Functional Clusters, Hubs, and Communities in the Cortical Microconnectome.
Functional Clusters, Hubs, and Communities in the Cortical Microconnectome.
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DOI：
10.1093/cercor/bhu252
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发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
Beggs JM
中科院分区：
文献类型：
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作者：
Shimono M;Beggs JM
尽管在宏观大脑研究中已经观察到不同尺度网络之间的关系，但神经元网络中不同尺度结构之间的关系尚不清楚。为了解决这个问题，我们从啮齿动物体感皮层切片培养物中同时记录了多达 500 个神经元。然后，我们测量了具有转移熵的定向有效网络，先前已在模拟皮质网络中进行了验证。这些有效的网络使我们能够在两种不同的尺度上评估独特的非随机连接结构。我们有 4 个主要发现。首先，在 3-6 个神经元（簇）的规模上，我们发现大量连接的发生频率明显高于偶然预期。其次，每个神经元的连接数量分布（度分布）有一个长尾，表明该网络包含明显高度的神经元或集线器。第三，在数十到数百个神经元的规模上，我们通常会发现 2-3 个相当大的群落。最后，我们证明了社区相对比集群更能抵抗连接的洗牌。我们得出的结论是，皮质的微连接组在不同尺度上具有特定的组织，正如稳健性差异所揭示的那样。我们建议这些信息将帮助我们了解微连接组如何抵抗损坏。
Although relationships between networks of different scales have been observed in macroscopic brain studies, relationships between structures of different scales in networks of neurons are unknown. To address this, we recorded from up to 500 neurons simultaneously from slice cultures of rodent somatosensory cortex. We then measured directed effective networks with transfer entropy, previously validated in simulated cortical networks. These effective networks enabled us to evaluate distinctive nonrandom structures of connectivity at 2 different scales. We have 4 main findings. First, at the scale of 3–6 neurons (clusters), we found that high numbers of connections occurred significantly more often than expected by chance. Second, the distribution of the number of connections per neuron (degree distribution) had a long tail, indicating that the network contained distinctively high-degree neurons, or hubs. Third, at the scale of tens to hundreds of neurons, we typically found 2–3 significantly large communities. Finally, we demonstrated that communities were relatively more robust than clusters against shuffling of connections. We conclude the microconnectome of the cortex has specific organization at different scales, as revealed by differences in robustness. We suggest that this information will help us to understand how the microconnectome is robust against damage.