Multi-scale account of the network structure of macaque visual cortex.

Multi-scale account of the network structure of macaque visual cortex.
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DOI:
10.1007/s00429-017-1554-4
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发表时间:
2018-04
影响因子:
3.1
通讯作者:
van Albada SJ
van Albada SJ
中科院分区:
医学3区
文献类型:
--
作者:
Schmidt M;Bakker R;Hilgetag CC;Diesmann M;van Albada SJ

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皮层网络结构已经在局部电路水平和远程连接方面得到了广泛的表征,但很少以整合这两个尺度的方式。此外,虽然已知皮层的连通性与其结构有关,但这一知识尚未用于得出全面的皮层连通性图。在这项研究中,我们将皮层结构和轴突追踪数据整合到猕猴视觉相关皮层的一个半球结构的一致的多尺度框架中。连接模型根据任意两个神经元在区域和层内的类型和位置来预测它们之间的连接概率。我们的分析揭示了大脑皮层结构的规律性。我们证实皮质厚度随细胞密度而衰减。神经元密度的逐渐减少,加上皮层区域突触体积密度的相对恒定,使远离感觉输入的视觉区域的连通性更紧密,结构分化也更低。此外,我们发现皮层投射源侧和目标侧的层流模式之间存在系统关系,扩展了先前从顺行和逆行联合追踪实验中得到的发现。在经典方案的基础上,我们基于解剖重构将突触分配给目标神经元,这表明第4层神经元接受了大量的反馈输入。我们导出的连通性显示出一种社区结构,与以前的连通性图相比,它更接近于已知的功能组,并确定了皮层-皮层通路中特定层的方向差异。由此产生的网络可以为在多个尺度上研究哺乳动物皮层的神经动力学结构奠定基础。本文的在线版本(10.1007/s00429-017-1554-4)包含补充资料,仅供授权用户使用。
Cortical network structure has been extensively characterized at the level of local circuits and in terms of long-range connectivity, but seldom in a manner that integrates both of these scales. Furthermore, while the connectivity of cortex is known to be related to its architecture, this knowledge has not been used to derive a comprehensive cortical connectivity map. In this study, we integrate data on cortical architecture and axonal tracing data into a consistent multi-scale framework of the structure of one hemisphere of macaque vision-related cortex. The connectivity model predicts the connection probability between any two neurons based on their types and locations within areas and layers. Our analysis reveals regularities of cortical structure. We confirm that cortical thickness decays with cell density. A gradual reduction in neuron density together with the relative constancy of the volume density of synapses across cortical areas yields denser connectivity in visual areas more remote from sensory inputs and of lower structural differentiation. Further, we find a systematic relation between laminar patterns on source and target sides of cortical projections, extending previous findings from combined anterograde and retrograde tracing experiments. Going beyond the classical schemes, we statistically assign synapses to target neurons based on anatomical reconstructions, which suggests that layer 4 neurons receive substantial feedback input. Our derived connectivity exhibits a community structure that corresponds more closely with known functional groupings than previous connectivity maps and identifies layer-specific directional differences in cortico-cortical pathways. The resulting network can form the basis for studies relating structure to neural dynamics in mammalian cortex at multiple scales. The online version of this article (10.1007/s00429-017-1554-4) contains supplementary material, which is available to authorized users.
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