Briggs Farran, Callaway Edward M
Systems Neurobiology Laboratories, The Salk Institute for Biological Sciences, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Cereb Cortex. 2005 May;15(5):479-88. doi: 10.1093/cercor/bhh154. Epub 2004 Aug 18.
Layer 5 neurons in primary visual cortex make putative reciprocal feedback connections to the superficial layers. To test this hypothesis, we employed scanning laser photostimulation combined with intracellular dye injection to examine local functional excitatory inputs to and axonal projections from individual layer 5 neurons in brain slices from monkey V1. In contrast with previous studies of other V1 neurons, layer 5 neurons received significant input from nearly all of the cortical layers, suggesting individual layer 5 cells integrate information from a broad range of input sources. Nevertheless relative strengths of laminar inputs varied across neurons. Cluster analysis of relative strength of laminar inputs to individual layer 5 neurons revealed four discrete clusters representing recurring input patterns; each cluster included both excitatory and inhibitory neurons. Twenty-five of 40 layer 5 neurons fell into two clusters, both characterized by very strong input from superficial layers. These input patterns are consistent with layer 5 neurons providing feedback to superficial layers. The remaining 15 neurons received stronger input from deep layers. Differences in input from layer 4Calpha versus 4Cbeta also suggest specific associations of the magnocellular and parvocellular visual pathways, with populations receiving stronger input from deep versus superficial cortical layers.
初级视觉皮层第5层神经元与浅层形成假定的相互反馈连接。为了验证这一假设,我们采用扫描激光光刺激结合细胞内染料注射的方法,来检测来自猴V1脑片上单个第5层神经元的局部功能性兴奋性输入以及其轴突投射。与之前对其他V1神经元的研究不同,第5层神经元从几乎所有皮层层都接收了显著的输入,这表明单个第5层细胞整合了来自广泛输入源的信息。然而,各层输入的相对强度在不同神经元之间存在差异。对单个第5层神经元各层输入相对强度的聚类分析揭示了四个离散的聚类,代表了重复出现的输入模式;每个聚类都包含兴奋性和抑制性神经元。40个第5层神经元中有25个属于两个聚类,其特征均为来自浅层的非常强的输入。这些输入模式与第5层神经元向浅层提供反馈一致。其余15个神经元从深层接收更强的输入。来自4Caα层与4Cβ层的输入差异也表明了大细胞和小细胞视觉通路的特定关联,即不同群体分别从深层与浅层皮层接收更强的输入。