Functional connectomics spanning multiple areas of mouse visual cortex

• 成果类型: Article
• 署名作者: Bae, J. Alexander; Baptiste, Mahaly; Baptiste, Maya R.; Bishop, Caitlyn A.; Bodor, Agnes L.; Brittain, Derrick; Brooks, Victoria; Buchanan, Joann; Bumbarger, Daniel J.; Castro, Manuel A.; Celii, Brendan; Cobos, Erick; Collman, Forrest; da Costa, Nuno Macarico; Danskin, Bethanny; Dorkenwald, Sven; Elabbady, Leila; Fahey, Paul G.; Fliss, Tim; Froudarakis, Emmanouil; Gager, Jay; Gamlin, Clare; Gray-Roncal, William; Halageri, Akhilesh; Hebditch, James; Jia, Zhen; Joyce, Emily; Ellis-Joyce, Justin; Jordan, Chris; Kapner, Daniel; Kemnitz, Nico; Kinn, Sam; Kitchell, Lindsey M.; Koolman, Selden; Kuehner, Kai; Lee, Kisuk; Li, Kai; Lu, Ran; Macrina, Thomas; Mahalingam, Gayathri; Matelsky, Jordan; Mcreynolds, Sarah; Miranda, Elanine; Mitchell, Eric; Mondal, Shanka Subhra; Moore, Merlin; Mu, Shang; Muhammad, Taliah; Nehoran, Barak; Neace, Erika; Ogedengbe, Oluwaseun; Papadopoulos, Christos; Papadopoulos, Stelios; Patel, Saumil; Vega, Guadalupe Jovita Yasmin Perez; Pitkow, Xaq; Popovych, Sergiy; Ramos, Anthony; Reid, R. Clay; Reimer, Jacob; Rivlin, Patricia K.; Rose, Victoria; Sauter, Zachary M.; Schneider-Mizell, Casey M.; Seung, H. Sebastian; Silverman, Ben; Silversmith, William; Sterling, Amy; Sinz, Fabian H.; Smith, Cameron L.; Swanstrom, Rachael; Suckow, Shelby; Takeno, Marc; Tan, Zheng H.; Tolias, Andreas S.; Torres, Russel; Turner, Nicholas L.; Walker, Edgar Y.; Wang, Tianyu; Wanner, Adrian; Wester, Brock A.; Williams, Grace; Williams, Sarah; Willie, Kyle; Willie, Ryan; Wong, William; Wu, Jingpeng; Xu, Chris; Yang, Runzhe; Yatsenko, Dimitri; Ye, Fei; Yin, Wenjing; Young, Rob; Yu, Szi-chieh; Xenes, Daniel; Zhang, Chi
• 署名单位: Princeton University; Princeton University; Baylor College of Medicine; Baylor College of Medicine; Johns Hopkins University; Johns Hopkins University Applied Physics Laboratory; Allen Institute for Brain Science; Rice University; Princeton University; Foundation for Research & Technology - Hellas (FORTH); Massachusetts Institute of Technology (MIT); Carnegie Mellon University; Carnegie Mellon University; Rice University; Eberhard Karls University of Tubingen; University of Gottingen; Stanford University; Eberhard Karls University of Tubingen; Cornell University; Swiss Federal Institutes of Technology Domain; Paul Scherrer Institute
• 刊物名称: Nature
• ISSN/ISSBN: 0028-1072
• DOI: 10.1038/s41586-025-08790-w
• 发表日期: 2025-04-10
• 关键词: nervous-system; reconstruction; neurons; network; specificity; anatomy; ORGANIZATION; connections; projections; circuits

摘要

Understanding the brain requires understanding neurons' functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal and VISlm) in an awake mouse that is viewing natural and synthetic stimuli. These data are co-registered with an electron microscopy reconstruction containing more than 200,000 cells and 0.5 billion synapses. Proofreading of a subset of neurons yielded reconstructions that include complete dendritic trees as well the local and inter-areal axonal projections that map up to thousands of cell-to-cell connections per neuron. Released as an open-access resource, this dataset includes the tools for data retrieval and analysis1,2. Accompanying studies describe its use for comprehensive characterization of cell types3, 4, 5-6, a synaptic level connectivity diagram of a cortical column4, and uncovering cell-type-specific inhibitory connectivity that can be linked to gene expression data4,7. Functionally, we identify new computational principles of how information is integrated across visual space8, characterize novel types of neuronal invariances9 and bring structure and function together to uncover a general principle for connectivity between excitatory neurons within and across areas10,11.