Dorkenwald Sven, Matsliah Arie, Sterling Amy R, Schlegel Philipp, Yu Szi-Chieh, McKellar Claire E, Lin Albert, Costa Marta, Eichler Katharina, Yin Yijie, Silversmith Will, Schneider-Mizell Casey, Jordan Chris S, Brittain Derrick, Halageri Akhilesh, Kuehner Kai, Ogedengbe Oluwaseun, Morey Ryan, Gager Jay, Kruk Krzysztof, Perlman Eric, Yang Runzhe, Deutsch David, Bland Doug, Sorek Marissa, Lu Ran, Macrina Thomas, Lee Kisuk, Bae J Alexander, Mu Shang, Nehoran Barak, Mitchell Eric, Popovych Sergiy, Wu Jingpeng, Jia Zhen, Castro Manuel, Kemnitz Nico, Ih Dodam, Bates Alexander Shakeel, Eckstein Nils, Funke Jan, Collman Forrest, Bock Davi D, Jefferis Gregory S X E, Seung H Sebastian, Murthy Mala
Princeton Neuroscience Institute, Princeton University, Princeton, USA.
Computer Science Department, Princeton University, Princeton, USA.
bioRxiv. 2023 Jul 11:2023.06.27.546656. doi: 10.1101/2023.06.27.546656.
Connections between neurons can be mapped by acquiring and analyzing electron microscopic (EM) brain images. In recent years, this approach has been applied to chunks of brains to reconstruct local connectivity maps that are highly informative, yet inadequate for understanding brain function more globally. Here, we present the first neuronal wiring diagram of a whole adult brain, containing 5×10 chemical synapses between ~130,000 neurons reconstructed from a female . The resource also incorporates annotations of cell classes and types, nerves, hemilineages, and predictions of neurotransmitter identities. Data products are available by download, programmatic access, and interactive browsing and made interoperable with other fly data resources. We show how to derive a projectome, a map of projections between regions, from the connectome. We demonstrate the tracing of synaptic pathways and the analysis of information flow from inputs (sensory and ascending neurons) to outputs (motor, endocrine, and descending neurons), across both hemispheres, and between the central brain and the optic lobes. Tracing from a subset of photoreceptors all the way to descending motor pathways illustrates how structure can uncover putative circuit mechanisms underlying sensorimotor behaviors. The technologies and open ecosystem of the FlyWire Consortium set the stage for future large-scale connectome projects in other species.
通过获取和分析电子显微镜（EM）脑图像，可以绘制神经元之间的连接图。近年来，这种方法已应用于大脑切片，以重建局部连接图，这些图信息丰富，但对于更全面地理解脑功能而言还不够。在这里，我们展示了首个完整成体大脑的神经元接线图，其中包含从一只雌性果蝇重建的约130,000个神经元之间的5×10个化学突触。该资源还纳入了细胞类别和类型、神经、半谱系的注释以及神经递质身份的预测。数据产品可通过下载、编程访问和交互式浏览获取，并与其他果蝇数据资源实现互操作。我们展示了如何从连接组中导出投射图谱，即区域之间的投射图。我们演示了突触路径的追踪以及信息流从输入（感觉神经元和上行神经元）到输出（运动神经元、内分泌神经元和下行神经元）的分析，跨越两个半球，以及在中枢脑和视叶之间的分析。从一部分光感受器一直追踪到下行运动路径，说明了结构如何揭示感觉运动行为背后的潜在电路机制。FlyWire联盟的技术和开放生态系统为未来其他物种的大规模连接组项目奠定了基础。
