神经科学
人口
皮质(解剖学)
生物
锥体束
投影(关系代数)
上丘
感觉系统
新皮层
索马
运动皮层
锥体细胞
神经元
解剖
海马结构
刺激
计算机科学
人口学
社会学
算法
作者
Mei Yao,Ayizuohere Tudi,Tao Jiang,Xu An,Xueyan Jia,Anan Li,Zirui Huang,Hui Gong,Xiangning Li,Qingming Luo
出处
期刊:Research
[American Association for the Advancement of Science]
日期:2024-01-01
卷期号:7
被引量:4
标识
DOI:10.34133/research.0470
摘要
The sensorimotor cortex participates in diverse functions with different reciprocally connected subregions and projection-defined pyramidal neuron types therein, while the fundamental organizational logic of its circuit elements at the single-cell level is still largely unclear. Here, using mouse Cre driver lines and high-resolution whole-brain imaging to selectively trace the axons and dendrites of cortical pyramidal tract (PT) and intratelencephalic (IT) neurons, we reconstructed the complete morphology of 1,023 pyramidal neurons and generated a projectome of 6 subregions within the sensorimotor cortex. Our morphological data revealed substantial hierarchical and layer differences in the axonal innervation patterns of pyramidal neurons. We found that neurons located in the medial motor cortex had more diverse projection patterns than those in the lateral motor and sensory cortices. The morphological characteristics of IT neurons in layer 5 were more complex than those in layer 2/3. Furthermore, the soma location and morphological characteristics of individual neurons exhibited topographic correspondence. Different subregions and layers were composed of different proportions of projection subtypes that innervate downstream areas differentially. While the axonal terminals of PT neuronal population in each cortical subregion were distributed in specific subdomains of the superior colliculus (SC) and zona incerta (ZI), single neurons selectively innervated a combination of these projection targets. Overall, our data provide a comprehensive list of projection types of pyramidal neurons in the sensorimotor cortex and begin to unveil the organizational principle of these projection types in different subregions and layers.
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