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哺乳动物大脑的神经网络结构。

Neural network architecture of a mammalian brain.

机构信息

Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089.

Indiana University Network Science Institute, Indiana University, Bloomington, IN 47405.

出版信息

Proc Natl Acad Sci U S A. 2024 Sep 24;121(39):e2413422121. doi: 10.1073/pnas.2413422121. Epub 2024 Sep 17.

Abstract

Connectomics research is making rapid advances, although models revealing general principles of connectional architecture are far from complete. Our analysis of 10 published connection reports indicates that the adult rat brain interregional connectome has about 76,940 of a possible 623,310 axonal connections between its 790 gray matter regions mapped in a reference atlas, equating to a network density of 12.3%. We examined the sexually dimorphic network using multiresolution consensus clustering that generated a nested hierarchy of interconnected modules/subsystems with three first-order modules and 157 terminal modules in females. Top-down hierarchy analysis suggests a mirror-image primary module pair in the central nervous system's rostral sector (forebrain-midbrain) associated with behavior control, and a single primary module in the intermediate sector (rhombicbrain) associated with behavior execution; the implications of these results are considered in relation to brain development and evolution. Bottom-up hierarchy analysis reveals known and unfamiliar modules suggesting strong experimentally testable hypotheses. Global network analyses indicate that all hubs are in the rostral module pair, a rich club extends through all three primary modules, and the network exhibits small-world attributes. Simulated lesions of all regions individually enabled ranking their impact on global network organization, and the visual path from the retina was used as a specific example, including the effects of cyclic connection weight changes from the endogenous circadian rhythm generator, suprachiasmatic nucleus. This study elucidates principles of interregional neuronal network architecture for a mammalian brain and suggests a strategy for modeling dynamic structural connectivity.

摘要

连接组学研究正在迅速发展,尽管揭示连接结构一般原则的模型还远未完成。我们对 10 篇已发表的连接报告的分析表明,成年大鼠大脑的区域间连接组在其参考图谱中映射的 790 个灰质区域之间具有约 76940 个可能的 623310 个轴突连接,相当于网络密度为 12.3%。我们使用多分辨率共识聚类来检查性别二态性网络,该聚类生成了具有三个一级模块和 157 个终端模块的嵌套互连模块/子系统层次结构。自上而下的层次结构分析表明,在中枢神经系统的前脑-中脑区域(大脑皮质)存在与行为控制相关的镜像初级模块对,以及在中脑区域(菱脑)存在与行为执行相关的单一初级模块;这些结果的意义与大脑发育和进化有关。自下而上的层次结构分析揭示了已知和未知的模块,提出了具有强实验可测试性的假设。全局网络分析表明,所有的枢纽都在初级模块对中,一个丰富的俱乐部贯穿所有三个初级模块,网络表现出小世界属性。模拟所有区域的单独损伤使我们能够对其对全局网络组织的影响进行排名,并且视觉通路从视网膜开始,作为一个具体的例子,包括来自内源性昼夜节律发生器视交叉上核的循环连接权重变化的影响。这项研究阐明了哺乳动物大脑区域间神经元网络结构的原则,并提出了一种建模动态结构连接性的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5570/11441483/383b3b51daac/pnas.2413422121fig01.jpg

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