Suppr超能文献

果蝇大脑神经元水平连接组中的多样化社区结构。

Diverse Community Structures in the Neuronal-Level Connectome of the Drosophila Brain.

机构信息

Department of Applied Physics, Tunghai University, Taichung, Taiwan.

National Center for High-performance Computing, Hsinchu, Taiwan.

出版信息

Neuroinformatics. 2020 Apr;18(2):267-281. doi: 10.1007/s12021-019-09443-w.

Abstract

Drosophila melanogaster is one of the most important model animals in neurobiology owing to its manageable brain size, complex behaviour, and extensive genetic tools. However, without a comprehensive map of the brain-wide neural network, our ability to investigate brain functions at the systems level is seriously limited. In this study, we constructed a neuron-to-neuron network of the Drosophila brain based on the 28,573 fluorescence images of single neurons in the newly released FlyCircuit v1.2 (http://www.flycircuit.tw) database. By performing modularity and centrality analyses, we identified eight communities (right olfaction, left olfaction, olfactory core, auditory, motor, pre-motor, left vision, and right vision) in the brain-wide network. Further investigation on information exchange and structural stability revealed that the communities of different functions dominated different types of centralities, suggesting a correlation between functions and network structures. Except for the two olfaction and the motor communities, the network is characterized by overall small-worldness. A rich club (RC) structure was also found in this network, and most of the innermost RC members innervated the central complex, indicating its role in information integration. We further identified numerous loops with length smaller than seven neurons. The observation suggested unique characteristics in the information processing inside the fruit fly brain.

摘要

果蝇是神经生物学中最重要的模式动物之一,这归因于其易于处理的大脑尺寸、复杂的行为以及广泛的遗传工具。然而,如果没有大脑范围神经网络的综合图谱,我们在系统水平上研究大脑功能的能力将受到严重限制。在这项研究中,我们基于新发布的 FlyCircuit v1.2(http://www.flycircuit.tw)数据库中 28573 个单个神经元的荧光图像,构建了果蝇大脑的神经元到神经元网络。通过进行模块性和中心性分析,我们在全脑网络中识别出了八个社区(右侧嗅觉、左侧嗅觉、嗅觉核心、听觉、运动、前置运动、左侧视觉和右侧视觉)。进一步研究信息交换和结构稳定性表明,不同功能的社区主导着不同类型的中心性,这表明功能和网络结构之间存在相关性。除了两个嗅觉社区和运动社区之外,网络的特点是整体具有小世界特性。在这个网络中还发现了一个丰富俱乐部(RC)结构,并且大多数最内层的 RC 成员支配着中枢复合器,这表明其在信息整合中的作用。我们进一步鉴定了许多长度小于七个神经元的环路。该观察结果表明,果蝇大脑内部的信息处理具有独特的特征。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验