Lin Albert, Yang Runzhe, Dorkenwald Sven, Matsliah Arie, Sterling Amy R, Schlegel Philipp, Yu Szi-Chieh, McKellar Claire E, Costa Marta, Eichler Katharina, Bates Alexander Shakeel, Eckstein Nils, Funke Jan, Jefferis Gregory S X E, Murthy Mala
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Center for the Physics of Biological Function, Princeton University, Princeton, NJ, USA.
bioRxiv. 2024 Feb 28:2023.07.29.551086. doi: 10.1101/2023.07.29.551086.
Brains comprise complex networks of neurons and connections. Network analysis applied to the wiring diagrams of brains can offer insights into how brains support computations and regulate information flow. The completion of the first whole-brain connectome of an adult , the largest connectome to date, containing 130,000 neurons and millions of connections, offers an unprecedented opportunity to analyze its network properties and topological features. To gain insights into local connectivity, we computed the prevalence of two- and three-node network motifs, examined their strengths and neurotransmitter compositions, and compared these topological metrics with wiring diagrams of other animals. We discovered that the network of the fly brain displays rich club organization, with a large population (30% percent of the connectome) of highly connected neurons. We identified subsets of rich club neurons that may serve as integrators or broadcasters of signals. Finally, we examined subnetworks based on 78 anatomically defined brain regions or neuropils. These data products are shared within the FlyWire Codex and will serve as a foundation for models and experiments exploring the relationship between neural activity and anatomical structure.
大脑由神经元和连接构成的复杂网络组成。应用于大脑布线图的网络分析能够深入了解大脑如何支持计算以及调节信息流。首个成年全脑连接组的完成,这是迄今为止最大的连接组,包含13万个神经元和数百万个连接,为分析其网络特性和拓扑特征提供了前所未有的机会。为了深入了解局部连接性,我们计算了两节点和三节点网络基序的流行程度,检查了它们的强度和神经递质组成,并将这些拓扑指标与其他动物的布线图进行了比较。我们发现果蝇大脑网络呈现出丰富俱乐部组织,有大量(占连接组的30%)高度连接的神经元。我们确定了丰富俱乐部神经元的子集,它们可能充当信号的整合者或传播者。最后,我们基于78个解剖学定义的脑区或神经纤维网检查了子网。这些数据产品在FlyWire Codex中共享,并将为探索神经活动与解剖结构之间关系的模型和实验奠定基础。