An integrated resource for functional and structural connectivity of the marmoset brain

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• dc.contributor.author Tian, Xiaoguang
• dc.contributor.author Chen, Yuyan
• dc.contributor.author Majka, Piotr
• dc.contributor.author Szczupak, Diego
• dc.contributor.author Sanz Perl, Yonatan
• dc.contributor.author Yen, Cecil Chern-Chyi
• dc.contributor.author Tong, Chuanjun
• dc.contributor.author Feng, Furui
• dc.contributor.author Jiang, Haiteng
• dc.contributor.author Glen, Daniel
• dc.contributor.author Deco, Gustavo
• dc.contributor.author Rosa, Marcello G. P.
• dc.contributor.author Silva, Afonso C.
• dc.contributor.author Liang, Zhifeng
• dc.contributor.author Liu, Cirong
• dc.date.accessioned 2023-07-20T06:46:15Z
• dc.date.available 2023-07-20T06:46:15Z
• dc.date.issued 2022
• dc.description.abstract Comprehensive integration of structural and functional connectivity data is required to model brain functions accurately. While resources for studying the structural connectivity of non-human primate brains already exist, their integration with functional connectivity data has remained unavailable. Here we present a comprehensive resource that integrates the most extensive awake marmoset resting-state fMRI data available to date (39 marmoset monkeys, 710 runs, 12117 mins) with previously published cellular-level neuronal tracing data (52 marmoset monkeys, 143 injections) and multi-resolution diffusion MRI datasets. The combination of these data allowed us to (1) map the fine-detailed functional brain networks and cortical parcellations, (2) develop a deep-learning-based parcellation generator that preserves the topographical organization of functional connectivity and reflects individual variabilities, and (3) investigate the structural basis underlying functional connectivity by computational modeling. This resource will enable modeling structure-function relationships and facilitate future comparative and translational studies of primate brains.
• dc.description.sponsorship The study was supported by the grants from National Science and Technology Innovation 2030 Major Project of China (2022ZD0205000, 2021ZD0203900), the Pennsylvania Department of Health Commonwealth Universal Research Enhancement (CURE) Tobacco Settlement Appropriation – Phase 18 (Grant SAP4100083102 to ACS), the US National Institute on Aging (Grants R24AG073190 and U19AG074866 to ACS), the Shanghai Municipal Science and Technology Major Project (no. 2018SHZDZX05 to C.L. and Z.F.), the Lingang Laboratory (Grant no. LG-QS-202201-02 to C.L.), the National Natural Science Foundation of China (no. 32171088 to C.L.), the Australian Research Council (DP110101200, DP140101968, CE140100007) and National Health and Medical Research Council (APP1194206) to M.R., National Science Centre (2019/35/D/NZ4/03031 to P.M.), NIH Intramural Research Programs (ZIA NS003041 to A.S. and C.Y., ZICMH002888 to D.G.), International Neuroinformatics Coordinating Facility Seed Funding Grant (to P.M. and M.R.), a Spanish research project funded by the Spanish Ministry of Science, Innovation, and Universities (MCIU), State Research Agency (AEI), and European Regional Development Funds (FEDER) (ref. PID2019-105772GB-I00 AEI FEDER EU to G.D.), HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement no. 945539 to G.D.), and the EU H2020 FET Flagship program and SGR Research Support Group support (ref. 2017 SGR 1545 to G.D.).
• dc.format.mimetype application/pdf
• dc.identifier.citation Tian X, Chen Y, Majka P, Szczupak D, Sanz Perl Y, Yen CCC, Tong C, Feng F, Jiang H, Glen D, Deco G, Rosa MGP, Silva AC, Liang Z, Liu C. An integrated resource for functional and structural connectivity of the marmoset brain. Nat Commun. 2022;13:7416. DOI: 10.1038/s41467-022-35197-2
• dc.identifier.doi http://dx.doi.org/10.1038/s41467-022-35197-2
• dc.identifier.issn 2041-1723
• dc.identifier.uri http://hdl.handle.net/10230/57622
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Nature Communications. 2022;13:7416.
• dc.relation.isreferencedby http://www.marmosetbrainmapping.org/data.html
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/945539
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
• dc.rights © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Network models
• dc.subject.keyword Neural circuits
• dc.title An integrated resource for functional and structural connectivity of the marmoset brain
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion