Cortical structure predicts the pattern of corticocortical connections
Cortical structure predicts the pattern of corticocortical connections
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DOI：
10.1093/cercor/7.7.635
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发表时间：
1997-10-01
期刊：
影响因子：
3.7
通讯作者：
RempelClower, N
中科院分区：
文献类型：
--
作者：
Barbas, H;RempelClower, N
皮质区域通过起始和终止于特定层的通路相连。具体连接中涉及哪些层的因素还不是很清楚。在这里，我们用逆行和顺行示踪剂研究了皮质结构是否能预测皮质各层投射神经元和轴突终末的模式和相对分布。我们使用恒河猴的前额叶皮质作为模型系统，因为它们的板层组织有系统地变化，从只有三层可识别的区域到有六层的区域。我们根据皮层的数量和定义对每个前额叶区域进行评级(级别1，最低；级别5，最高)。该结构模型在类似80%的情况下准确地预测了连接的层流模式。因此，来自较高水平皮质的投射神经元主要起源于上层，其轴突主要终止于较低水平皮质的深层(4-6)。相反，来自低水平区的大多数投射神经元起源于深层，它们的轴突主要终止于高水平区的上层(1-3)。此外，结构模型准确地预测了上层和深层的投射神经元或轴突终末的比例将随着连接的大脑皮层之间的水平数量而变化。这种结构模型的力量在于它有可能预测人类大脑皮层的连接模式，在那里侵入性的程序是被排除的。
Cortical areas are linked through pathways which originate and terminate in specific layers. The factors underlying which layers are involved in specific connections are not well understood. Here we tested whether cortical structure can predict the pattern as well as the relative distribution of projection neurons and axonal terminals in cortical layers, studied with retrograde and anterograde tracers. We used the prefrontal cortices in the rhesus monkey as a model system because their laminar organization varies systematically, ranging from areas that have only three identifiable layers, to those that have six layers. We rated each prefrontal area based on the number and definition of its cortical layers (level 1, lowest; level 5, highest). The structural model accurately predicted the laminar pattern of connections in similar to 80% of the cases. Thus, projection neurons from a higher-level cortex originated mostly in the upper layers and their axons terminated predominantly in the deep layers (4-6) of a lower-level cortex. Conversely, most projection neurons from a lower-level area originated in the deep layers and their axons terminated predominantly in the upper layers (1-3) of a higher-level area. In addition, the structural model accurately predicted that the proportion of projection neurons or axonal terminals in the upper to the deep layers would vary as a function of the number of levels between the connected cortices. The power of this structural model lies in its potential to predict patterns of connections in the human cortex, where invasive procedures are precluded.