{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Aleman-Gomez Y"],"funding":["Swiss National Science Foundation"],"pagination":["516"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9399115"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["The human brain is a complex system that can be efficiently represented as a network of structural connectivity. Many imaging studies would benefit from such network information, which is not always available. In this work, we present a whole-brain multi-scale structural connectome atlas. This tool has been derived from a cohort of 66 healthy subjects imaged with optimal technology in the setting of the Human Connectome Project. From these data we created, using extensively validated diffusion-data processing, tractography and gray-matter parcellation tools, a multi-scale probabilistic atlas of the human connectome. In addition, we provide user-friendly and accessible code to match this atlas to individual brain imaging data to extract connection-specific quantitative information. This can"],"journal":["Scientific data"],"pubmed_title":["A multi-scale probabilistic atlas of the human connectome."],"pmcid":["PMC9399115"],"funding_grant_id":["185897"],"pubmed_authors":["Magon S","Houde JC","Najdenovska E","Aleman-Gomez Y","Griffa A","Cuadra MB","Descoteaux M","Hagmann P"],"additional_accession":[]},"is_claimable":false,"name":"A multi-scale probabilistic atlas of the human connectome.","description":"The human brain is a complex system that can be efficiently represented as a network of structural connectivity. Many imaging studies would benefit from such network information, which is not always available. In this work, we present a whole-brain multi-scale structural connectome atlas. This tool has been derived from a cohort of 66 healthy subjects imaged with optimal technology in the setting of the Human Connectome Project. From these data we created, using extensively validated diffusion-data processing, tractography and gray-matter parcellation tools, a multi-scale probabilistic atlas of the human connectome. In addition, we provide user-friendly and accessible code to match this atlas to individual brain imaging data to extract connection-specific quantitative information. This can","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2026-06-01T02:20:29.973Z","creation":"2025-04-05T15:17:42.887Z"},"accession":"S-EPMC9399115","cross_references":{"pubmed":["35999243"],"doi":["10.1038/s41597-022-01624-8"]}}