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The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles.
Neuron ( IF 16.2 ) Pub Date : 2018-Feb-07 , DOI: 10.1016/j.neuron.2017.12.037
Răzvan Gămănuţ , Henry Kennedy , Zoltán Toroczkai , Mária Ercsey-Ravasz , David C. Van Essen , Kenneth Knoblauch , Andreas Burkhalter

The inter-areal wiring pattern of the mouse cerebral cortex was analyzed in relation to a refined parcellation of cortical areas. Twenty-seven retrograde tracer injections were made in 19 areas of a 47-area parcellation of the mouse neocortex. Flat mounts of the cortex and multiple histological markers enabled detailed counts of labeled neurons in individual areas. The observed log-normal distribution of connection weights to each cortical area spans 5 orders of magnitude and reveals a distinct connectivity profile for each area, analogous to that observed in macaques. The cortical network has a density of 97%, considerably higher than the 66% density reported in macaques. A weighted graph analysis reveals a similar global efficiency but weaker spatial clustering compared with that reported in macaques. The consistency, precision of the connectivity profile, density, and weighted graph analysis of the present data differ significantly from those obtained in earlier studies in the mouse.

中文翻译:

以超密皮质图为特征的鼠标皮质连接体通过独特的连接性谱保持特异性。

分析了小鼠大脑皮层的区域间布线模式与皮层区域的细化之间的关系。在小鼠新大脑皮层47个区域的19个区域中进行了27个逆行示踪剂注射。皮层的平坦固定和多种组织学标记使得能够对单个区域中的标记神经元进行详细计数。观察到的每个皮层区域的连接权重的对数正态分布跨越5个数量级,并揭示了每个区域不同的连通性,类似于在猕猴中观察到的连通性。皮质网络的密度为97%,大大高于猕猴中报告的66%的密度。加权图分析显示,与猕猴相比,其整体效率相似,但空间聚类能力较弱。一致性,
更新日期:2018-02-08
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