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皮质网络的图谱分析揭示了复杂的解剖学通信基质。

Graph analysis of cortical networks reveals complex anatomical communication substrate.

作者信息

Zamora-López Gorka, Zhou Changsong, Kurths Jürgen

机构信息

Interdisciplinary Center for Dynamics of Complex Systems, University of Potsdam, Potsdam, Germany.

出版信息

Chaos. 2009 Mar;19(1):015117. doi: 10.1063/1.3089559.

Abstract

Sensory information entering the nervous system follows independent paths of processing such that specific features are individually detected. However, sensory perception, awareness, and cognition emerge from the combination of information. Here we have analyzed the corticocortical network of the cat, looking for the anatomical substrate which permits the simultaneous segregation and integration of information in the brain. We find that cortical communications are mainly governed by three topological factors of the underlying network: (i) a large density of connections, (ii) segregation of cortical areas into clusters, and (iii) the presence of highly connected hubs aiding the multisensory processing and integration. Statistical analysis of the shortest paths reveals that, while information is highly accessible to all cortical areas, the complexity of cortical information processing may arise from the rich and intricate alternative paths in which areas can influence each other.

摘要

进入神经系统的感觉信息沿着独立的处理路径进行,以便分别检测特定特征。然而,感觉知觉、意识和认知是由信息的组合产生的。在这里,我们分析了猫的皮质-皮质网络,寻找能够使大脑中信息同时分离和整合的解剖学基础。我们发现,皮质通信主要由基础网络的三个拓扑因素决定:(i)连接密度大,(ii)皮质区域聚集成簇,(iii)存在高度连接的枢纽,有助于多感觉处理和整合。对最短路径的统计分析表明,虽然所有皮质区域都能高度获取信息,但皮质信息处理的复杂性可能源于各区域相互影响的丰富而复杂的替代路径。

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