{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tian X"],"funding":["NIA NIH HHS"],"pagination":["7416"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9715556"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(1)"],"pubmed_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 genera"],"journal":["Nature communications"],"pubmed_title":["An integrated resource for functional and structural connectivity of the marmoset brain."],"pmcid":["PMC9715556"],"funding_grant_id":["R24 AG073190"],"pubmed_authors":["Jiang H","Silva AC","Liang Z","Feng F","Perl YS","Majka P","Tong C","Deco G","Tian X","Rosa MGP","Chen Y","Glen D","Liu C","Szczupak D","Yen CC"],"additional_accession":[]},"is_claimable":false,"name":"An integrated resource for functional and structural connectivity of the marmoset brain.","description":"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 genera","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Dec","modification":"2025-04-19T03:32:15.317Z","creation":"2025-04-07T13:41:54.882Z"},"accession":"S-EPMC9715556","cross_references":{"pubmed":["36456558"],"doi":["10.1038/s41467-022-35197-2"]}}