Department of Molecular Physiology, Kyushu University Graduate School of Medical Sciences, Fukuoka 812-8582, Japan.
Friedrich Miescher Institute for Biomedical Research, Basel 4058, Switzerland.
Cereb Cortex. 2021 Jan 5;31(2):1307-1315. doi: 10.1093/cercor/bhaa297.
Integration of information processed separately in distributed brain regions is essential for brain functions. This integration is enabled by long-range projection neurons, and further, concerted interactions between long-range projections and local microcircuits are crucial. It is not well known, however, how this interaction is implemented in cortical circuits. Here, to decipher this logic, using callosal projection neurons (CPNs) in layer 2/3 of the mouse visual cortex as a model of long-range projections, we found that CPNs exhibited distinct response properties and fine-scale local connectivity patterns. In vivo 2-photon calcium imaging revealed that CPNs showed a higher ipsilateral (to their somata) eye preference, and that CPN pairs showed stronger signal/noise correlation than random pairs. Slice recordings showed CPNs were preferentially connected to CPNs, demonstrating the existence of projection target-dependent fine-scale subnetworks. Collectively, our results suggest that long-range projection target predicts response properties and local connectivity of cortical projection neurons.
信息在分散的脑区中分别处理,这对大脑功能至关重要。这种整合是通过长程投射神经元实现的,而长程投射和局部微电路之间的协同相互作用则更为关键。然而,目前尚不清楚这种相互作用是如何在皮质回路中实现的。在这里,我们使用小鼠视觉皮层 2/3 层的胼胝体投射神经元 (CPN) 作为长程投射的模型,来解析这一逻辑,发现 CPN 表现出不同的反应特性和精细的局部连接模式。在体双光子钙成像显示,CPN 表现出更高的同侧(相对于其胞体)眼偏好,并且 CPN 对之间的信号/噪声相关性强于随机对。切片记录显示 CPN 优先与 CPN 相连,表明存在投射目标依赖的精细子网。总的来说,我们的结果表明,长程投射目标预测了皮质投射神经元的反应特性和局部连接。