001 | 903463 | ||
005 | 20211219012041.0 | ||
024 | 7 | _ | |2 doi |a 10.1101/2021.08.04.454795 |
024 | 7 | _ | |2 Handle |a 2128/29435 |
024 | 7 | _ | |a altmetric:111230025 |2 altmetric |
037 | _ | _ | |a FZJ-2021-05136 |
100 | 1 | _ | |0 0000-0002-4448-8998 |a Royer, Jessica |b 0 |e Corresponding author |
245 | _ | _ | |a An Open MRI Dataset for Multiscale Neuroscience |
260 | _ | _ | |c 2021 |
336 | 7 | _ | |0 PUB:(DE-HGF)25 |2 PUB:(DE-HGF) |a Preprint |b preprint |m preprint |s 1639131807_20223 |
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 Multimodal neuroimaging grants a powerful window into the structure and function of the human brain at multiple scales. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends (also referred to as gradients) in brain microstructure and connectivity, offering an integrative framework to study multiscale brain organization. Here, we share a multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired in 50 healthy adults (23 women; 29.54±5.62 years) who underwent high-resolution T1-weighted MRI, myelin-sensitive quantitative T1 relaxometry, diffusion-weighted MRI, and resting-state functional MRI at 3 Tesla. In addition to raw anonymized MRI data, this release includes brain-wide connectomes derived from i) resting-state functional imaging, ii) diffusion tractography, iii) microstructure covariance analysis, and iv) geodesic cortical distance, gathered across multiple parcellation scales. Alongside, we share large-scale gradients estimated from each modality and parcellation scale. Our dataset will facilitate future research examining the coupling between brain microstructure, connectivity, and macroscale function. MICA-MICs is available on the Canadian Open Neuroscience Platform’s data portal ( https://portal.conp.ca ). |
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 |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |0 0000-0002-2917-1212 |a Rodríguez-Cruces, Raúl |b 1 |
700 | 1 | _ | |0 0000-0002-7585-8963 |a Tavakol, Shahin |b 2 |
700 | 1 | _ | |a Larivière, Sara |b 3 |
700 | 1 | _ | |0 0000-0002-9840-6257 |a Herholz, Peer |b 4 |
700 | 1 | _ | |0 0000-0001-6989-2981 |a Li, Qiongling |b 5 |
700 | 1 | _ | |0 0000-0003-0574-6576 |a de Wael, Reinder Vos |b 6 |
700 | 1 | _ | |0 P:(DE-Juel1)187055 |a Paquola, Casey |b 7 |u fzj |
700 | 1 | _ | |0 0000-0003-3922-7643 |a Benkarim, Oualid |b 8 |
700 | 1 | _ | |0 0000-0001-7096-337X |a Park, Bo-yong |b 9 |
700 | 1 | _ | |a Lowe, Alexander J. |b 10 |
700 | 1 | _ | |0 0000-0002-8880-9204 |a Margulies, Daniel |b 11 |
700 | 1 | _ | |0 0000-0002-7298-2459 |a Smallwood, Jonathan |b 12 |
700 | 1 | _ | |a Bernasconi, Andrea |b 13 |
700 | 1 | _ | |a Bernasconi, Neda |b 14 |
700 | 1 | _ | |a Frauscher, Birgit |b 15 |
700 | 1 | _ | |0 0000-0001-9256-6041 |a Bernhardt, Boris C. |b 16 |e Corresponding author |
773 | _ | _ | |a 10.1101/2021.08.04.454795 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/903463/files/Royer_etal_2021.08.04.454795v1.full.pdf |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:903463 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)187055 |a Forschungszentrum Jülich |b 7 |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 2021 |
915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
915 | _ | _ | |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |a Creative Commons Attribution CC BY 4.0 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
980 | 1 | _ | |a FullTexts |
980 | _ | _ | |a preprint |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|