Liu Zhen-Qi, Zheng Ying-Qiu, Misic Bratislav
McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada.
Biomedical Engineering, University of Oxford, Oxford, United Kingdom.
Netw Neurosci. 2020 Dec 1;4(4):1181-1196. doi: 10.1162/netn_a_00159. eCollection 2020.
The brain is a complex network of interconnected and interacting neuronal populations. Global efforts to understand the emergence of behavior and the effect of perturbations depend on accurate reconstruction of white matter pathways, both in humans and in model organisms. An emerging animal model for next-generation applied neuroscience is the common marmoset (). A recent open respository of retrograde and anterograde tract tracing presents an opportunity to systematically study the network architecture of the marmoset brain (Marmoset Brain Architecture Project; http://www.marmosetbrain.org). Here we comprehensively chart the topological organization of the mesoscale marmoset cortico-cortical connectome. The network possesses multiple nonrandom attributes that promote a balance between segregation and integration, including near-minimal path length, multiscale community structure, a connective core, a unique motif composition, and multiple cavities. Altogether, these structural attributes suggest a link between network architecture and function. Our findings are consistent with previous reports across a range of species, scales, and reconstruction technologies, suggesting a small set of organizational principles universal across phylogeny. Collectively, these results provide a foundation for future anatomical, functional, and behavioral studies in this model organism.
大脑是由相互连接和相互作用的神经元群体组成的复杂网络。在人类和模式生物中,全球范围内致力于理解行为的出现以及扰动影响的努力都依赖于对白质通路的精确重建。普通狨猴是下一代应用神经科学中新兴的动物模型。最近一个逆行和顺行束示踪的开放数据库为系统研究狨猴大脑的网络结构提供了机会(狨猴大脑结构项目;http://www.marmosetbrain.org)。在这里,我们全面绘制了中尺度狨猴皮质-皮质连接组的拓扑组织。该网络具有多种促进分离和整合之间平衡的非随机属性,包括近乎最小的路径长度、多尺度群落结构、连接核心、独特的基序组成和多个空洞。总之,这些结构属性表明了网络结构与功能之间的联系。我们的发现与之前在一系列物种、尺度和重建技术方面的报告一致,表明存在一小套贯穿系统发育的通用组织原则。总体而言,这些结果为该模式生物未来的解剖学、功能和行为研究奠定了基础。