Home > Publications database > Siibra: A software tool suite for realizing a Multilevel Human Brain Atlas from complex data resources > print |
001 | 1042712 | ||
005 | 20250610085232.0 | ||
024 | 7 | _ | |2 doi |a 10.1101/2025.05.20.655042 |
024 | 7 | _ | |2 datacite_doi |a 10.34734/FZJ-2025-02658 |
037 | _ | _ | |a FZJ-2025-02658 |
041 | _ | _ | |a English |
100 | 1 | _ | |0 P:(DE-Juel1)165746 |a Dickscheid, Timo |b 0 |e Corresponding author |
245 | _ | _ | |a Siibra: A software tool suite for realizing a Multilevel Human Brain Atlas from complex data resources |
260 | _ | _ | |c 2025 |
336 | 7 | _ | |0 PUB:(DE-HGF)25 |2 PUB:(DE-HGF) |a Preprint |b preprint |m preprint |s 1749190990_8642 |
336 | 7 | _ | |2 ORCID |a WORKING_PAPER |
336 | 7 | _ | |0 28 |2 EndNote |a Electronic Article |
336 | 7 | _ | |2 DRIVER |a preprint |
336 | 7 | _ | |2 BibTeX |a ARTICLE |
336 | 7 | _ | |2 DataCite |a Output Types/Working Paper |
520 | _ | _ | |a Computational technology opens new possibilities towards understanding the complexity of the human brain, but it requires integrating measurements from different modalities and scales in anatomical context and exposing them in interoperable, actionable form. Especially with growing big data resources, accessing information from different scales and modalities coherently for visual exploration, reproducible analysis and application development remains challenging. We present siibra, a tool suite that connects diverse data from cloud resources to reference atlases and coordinate spaces. It supports different use cases by making contents accessible through a web viewer, Python library and HTTP API. Using siibra we implemented a Multilevel Human Brain Atlas linking macro-anatomical concepts and their inter-subject variability with measurements of the microstructural composition and intrinsic variance of brain regions, building on cytoarchitecture as a reference and supporting MRI-based and microscopic templates. The atlas is integrated with the EBRAINS research infrastructure. All software and content are openly accessible. |
536 | _ | _ | |0 G:(DE-HGF)POF4-5254 |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |c POF4-525 |f POF IV |x 0 |
536 | _ | _ | |0 G:(DE-HGF)InterLabs-0015 |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) |c InterLabs-0015 |x 1 |
536 | _ | _ | |0 G:(EU-Grant)101147319 |a EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319) |c 101147319 |f HORIZON-INFRA-2022-SERV-B-01 |x 2 |
536 | _ | _ | |0 G:(EU-Grant)945539 |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 3 |
536 | _ | _ | |0 G:(GEPRIS)501864659 |a DFG project G:(GEPRIS)501864659 - NFDI4BIOIMAGE - Nationale Forschungsdateninfrastruktur für Mikroskopie und Bildanalyse (501864659) |c 501864659 |x 4 |
536 | _ | _ | |0 G:(GEPRIS)313856816 |a DFG project G:(GEPRIS)313856816 - SPP 2041: Computational Connectomics (313856816) |c 313856816 |x 5 |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |0 P:(DE-Juel1)172713 |a Gui, Xiaoyun |b 1 |u fzj |
700 | 1 | _ | |0 P:(DE-Juel1)196084 |a Simsek, Ahmet Nihat |b 2 |u fzj |
700 | 1 | _ | |0 P:(DE-Juel1)170068 |a Schiffer, Christian |b 3 |u fzj |
700 | 1 | _ | |0 0000-0002-1612-461X |a Mangin, Jean-Francois |b 4 |
700 | 1 | _ | |0 P:(DE-Juel1)169303 |a Leprince, Yann |b 5 |
700 | 1 | _ | |0 0000-0002-8251-8860 |a Jirsa, Viktor |b 6 |
700 | 1 | _ | |0 0000-0001-7899-906X |a Bjaalie, Jan G. |b 7 |
700 | 1 | _ | |0 0000-0001-5965-8470 |a Leergaard, Trygve B. |b 8 |
700 | 1 | _ | |0 P:(DE-Juel1)131636 |a Bludau, Sebastian |b 9 |u fzj |
700 | 1 | _ | |0 P:(DE-Juel1)131631 |a Amunts, Katrin |b 10 |u fzj |
773 | _ | _ | |a 10.1101/2025.05.20.655042 |t biorxiv |y 2025 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1042712/files/dickscheid_etal_2025_siibra_preprint.pdf |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:1042712 |p openaire |p open_access |p driver |p VDB |p ec_fundedresources |p dnbdelivery |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)165746 |a Forschungszentrum Jülich |b 0 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)172713 |a Forschungszentrum Jülich |b 1 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)196084 |a Forschungszentrum Jülich |b 2 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)170068 |a Forschungszentrum Jülich |b 3 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)131636 |a Forschungszentrum Jülich |b 9 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)131631 |a Forschungszentrum Jülich |b 10 |k FZJ |
913 | 1 | _ | |0 G:(DE-HGF)POF4-525 |1 G:(DE-HGF)POF4-520 |2 G:(DE-HGF)POF4-500 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |9 G:(DE-HGF)POF4-5254 |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |v Decoding Brain Organization and Dysfunction |x 0 |
914 | 1 | _ | |y 2025 |
915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
915 | _ | _ | |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
980 | _ | _ | |a preprint |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|