PDF(Pubmed)
Abstract：
A new analysis is presented of the retrograde tracer measurements of connections between anatomical areas of the marmoset cortex. The original normalisation of raw data yields the fractional link weight measure, FLNe. That is re-examined to consider other possible measures that reveal the underlying in link weights. Predictions arising from both are used to examine network modules and hubs. With inclusion of the in weights the InfoMap algorithm identifies eight structural modules in marmoset cortex. In and out hubs and major connector nodes are identified using module assignment and participation coefficients. Time evolving network tracing around the major hubs reveals medium sized clusters in pFC, temporal, auditory and visual areas; the most tightly coupled and significant of which is in the pFC. A complementary viewpoint is provided by examining the highest traffic links in the cortical network, and reveals parallel sensory flows to pFC and via association areas to frontal areas.
摘要：
提出了一种新的分析，用于逆行示踪剂测量，该示踪剂测量了the猴皮层解剖区域之间的连接。原始数据的原始归一化产生分数链接权重度量，FLNe.这是重新检查，以考虑其他可能的措施，揭示潜在的链接权重。两者产生的预测用于检查网络模块和集线器。在包含权重的情况下，InfoMap算法可以识别the猴皮层中的八个结构模块。使用模块分配和参与系数来识别进出集线器和主要连接器节点。围绕主要枢纽的时间演变网络跟踪揭示了pFC中的中型集群，temporal,听觉和视觉区域；其中最紧密耦合和最重要的是在pFC中。通过检查皮层网络中的最高流量链路提供了补充观点，并揭示了平行的感觉流向pFC，并通过关联区域流向额叶区域。
