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dc.date.accessioned2026-03-16T16:09:30Z
dc.date.available2026-03-16T16:09:30Z
dc.date.issued2021-10-06
dc.identifier.urihttps://hdl.handle.net/1721.1/165190
dc.description.abstractAn essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/s41586-021-03970-wen_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer Natureen_US
dc.titleCellular anatomy of the mouse primary motor cortexen_US
dc.typeArticleen_US
dc.identifier.citationMuñoz-Castañeda, R., Zingg, B., Matho, K.S. et al. Cellular anatomy of the mouse primary motor cortex. Nature 598, 159–166 (2021).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalNatureen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-12-20T20:08:43Z
dspace.orderedauthorsMuñoz-Castañeda, R; Zingg, B; Matho, KS; Chen, X; Wang, Q; Foster, NN; Li, A; Narasimhan, A; Hirokawa, KE; Huo, B; Bannerjee, S; Korobkova, L; Park, CS; Park, Y-G; Bienkowski, MS; Chon, U; Wheeler, DW; Li, X; Wang, Y; Naeemi, M; Xie, P; Liu, L; Kelly, K; An, X; Attili, SM; Bowman, I; Bludova, A; Cetin, A; Ding, L; Drewes, R; D’Orazi, F; Elowsky, C; Fischer, S; Galbavy, W; Gao, L; Gillis, J; Groblewski, PA; Gou, L; Hahn, JD; Hatfield, JT; Hintiryan, H; Huang, JJ; Kondo, H; Kuang, X; Lesnar, P; Li, X; Li, Y; Lin, M; Lo, D; Mizrachi, J; Mok, S; Nicovich, PR; Palaniswamy, R; Palmer, J; Qi, X; Shen, E; Sun, Y-C; Tao, HW; Wakemen, W; Wang, Y; Yao, S; Yuan, J; Zhan, H; Zhu, M; Ng, L; Zhang, LI; Lim, BK; Hawrylycz, M; Gong, H; Gee, JC; Kim, Y; Chung, K; Yang, XW; Peng, H; Luo, Q; Mitra, PP; Zador, AM; Zeng, H; Ascoli, GA; Josh Huang, Z; Osten, P; Harris, JA; Dong, H-Wen_US
dspace.date.submission2024-12-20T20:09:02Z
mit.journal.volume598en_US
mit.journal.issue7879en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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