biostudies-literatureAleman-Gomez YSwiss National Science Foundation516https://www.ebi.ac.uk/biostudies/studies/S-EPMC9399115biostudies-literatureUnknown9(1)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 canScientific dataA multi-scale probabilistic atlas of the human connectome.PMC9399115185897Magon SHoude JCNajdenovska EAleman-Gomez YGriffa ACuadra MBDescoteaux MHagmann PfalseA multi-scale probabilistic atlas of the human connectome.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 can2022-01-01T00:00:00Z2022 Aug2026-06-01T02:20:29.973Z2025-04-05T15:17:42.887ZS-EPMC93991153599924310.1038/s41597-022-01624-8