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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Network architecture of the long-distance pathways in the macaque brain
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Network architecture of the long-distance pathways in the macaque brain

机译：猕猴长途通路的网络架构

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摘要

Understanding the network structure of white matter communication pathways is essential for unraveling the mysteries of the brain's function, organization, and evolution. To this end, we derive a unique network incorporating 410 anatomical tracing studies of the macaque brain from the Collation of Connectivity data on the Macaque brain (CoCoMac) neuroinformatic database. Our network consists of 383 hierarchically organized regions spanning cortex, thalamus, and basal ganglia; models the presence of 6,602 directed long-distance connections; is three times larger than any previously derived brain network; and contains subnetworks corresponding to classic corticocortical, corticosubcortical, and subcortico-subcortical fiber systems. We found that the empirical degree distribution of the network is consistent with the hypothesis of the maximum entropy exponential distribution and discovered two remarkable bridges between the brain's structure and function via network-theoretical analysis. First, prefrontal cortex contains a disproportionate share of topologically central regions. Second, there exists a tightly integrated core circuit, spanning parts of premotor cortex, prefrontal cortex, temporal lobe, parietal lobe, thalamus, basal ganglia, cingulate cortex, insula, and visual cortex, that includes much of the task-positive and task-negative networks and might play a special role in higher cognition and consciousness.
机译：了解白质交流途径的网络结构对于揭示大脑功能，组织和进化的奥秘至关重要。为此，我们从猕猴（CoCoMac）神经信息数据库上的连接数据整理中得出了一个包含410个猕猴大脑解剖学追踪研究的独特网络。我们的网络由383个分层组织的区域组成，这些区域横跨皮质，丘脑和基底神经节；建模是否存在6,602个定向长距离连接；比任何先前衍生的大脑网络大三倍；并包含对应于经典皮层，皮下皮层和皮下皮层下光纤系统的子网。我们发现网络的经验度分布与最大熵指数分布的假设一致，并通过网络理论分析发现了大脑结构与功能之间的两个重要桥梁。首先，前额叶皮层包含不成比例的拓扑中心区域。其次，存在紧密集成的核心电路，跨越运动前皮层，前额叶皮层，颞叶，顶叶，丘脑，基底神经节，扣带状皮层，岛突和视觉皮层的各个部分，其中包括许多任务阳性和任务-消极网络，并可能在更高的认知和意识中发挥特殊作用。

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