Principles of Network Architecture Emerging from Comparisons of the Cerebral Cortex in Large and Small Brains
Principles of Network Architecture Emerging from Comparisons of the Cerebral Cortex in Large and Small Brains
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DOI：
10.1371/journal.pbio.1002556
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发表时间：
2016-09-01
期刊：
影响因子：
9.8
通讯作者：
Finlay, Barbara L.
中科院分区：
文献类型：
--
作者：
Finlay, Barbara L.
在哺乳动物中，大脑皮层在体积扩大多个数量级时保留了其基本组织、分层和输入输出关系。其网络架构如何受到规模缩放的影响？通过比较来自完整神经解剖追踪研究的小鼠和恒河猴皮质连接组的网络组织，PLOS Biology 最近的一项研究表明，出现了指数距离规则，揭示了两个大脑中连接概率随距离的下降，进而决定了共同的组织特征。
The cerebral cortex retains its fundamental organization, layering, and input-output relations as it scales in volume over many orders of magnitude in mammals. How is its network architecture affected by size scaling? By comparing network organization of the mouse and rhesus macaque cortical connectome derived from complete neuroanatomical tracing studies, a recent study in PLOS Biology shows that an exponential distance rule emerges that reveals the falloff in connection probability with distance in the two brains that in turn determines common organizational features.