Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject...

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Published in:Scientific data Vol. 8; no. 1; pp. 219 - 17
Main Authors: Cohen-Adad, Julien, Alonso-Ortiz, Eva, Abramovic, Mihael, Arneitz, Carina, Atcheson, Nicole, Barlow, Laura, Barry, Robert L., Barth, Markus, Battiston, Marco, Büchel, Christian, Budde, Matthew, Callot, Virginie, Combes, Anna J. E., De Leener, Benjamin, Descoteaux, Maxime, de Sousa, Paulo Loureiro, Dostál, Marek, Doyon, Julien, Dvorak, Adam, Eippert, Falk, Epperson, Karla R., Epperson, Kevin S., Freund, Patrick, Finsterbusch, Jürgen, Foias, Alexandru, Fratini, Michela, Fukunaga, Issei, Gandini Wheeler-Kingshott, Claudia A. M., Germani, Giancarlo, Gilbert, Guillaume, Giove, Federico, Gros, Charley, Grussu, Francesco, Hagiwara, Akifumi, Henry, Pierre-Gilles, Horák, Tomáš, Hori, Masaaki, Joers, James, Kamiya, Kouhei, Karbasforoushan, Haleh, Keřkovský, Miloš, Khatibi, Ali, Kim, Joo-Won, Kinany, Nawal, Kitzler, Hagen H., Kolind, Shannon, Kong, Yazhuo, Kudlička, Petr, Kuntke, Paul, Kurniawan, Nyoman D., Kusmia, Slawomir, Labounek, René, Laganà, Maria Marcella, Laule, Cornelia, Law, Christine S., Lenglet, Christophe, Leutritz, Tobias, Liu, Yaou, Llufriu, Sara, Mackey, Sean, Martinez-Heras, Eloy, Mattera, Loan, Nestrasil, Igor, O’Grady, Kristin P., Papinutto, Nico, Papp, Daniel, Pareto, Deborah, Parrish, Todd B., Pichiecchio, Anna, Prados, Ferran, Rovira, Àlex, Ruitenberg, Marc J., Samson, Rebecca S., Savini, Giovanni, Seif, Maryam, Seifert, Alan C., Smith, Alex K., Smith, Seth A., Smith, Zachary A., Solana, Elisabeth, Suzuki, Y., Tackley, George, Tinnermann, Alexandra, Valošek, Jan, Van De Ville, Dimitri, Yiannakas, Marios C., Weber II, Kenneth A., Weiskopf, Nikolaus, Wise, Richard G., Wyss, Patrik O., Xu, Junqian
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 16.08.2021
Nature Publishing Group
Nature Portfolio
Subjects:
639/766/930/2735
692/617/375/1824
706/648/697/129
Adult
Data Descriptor
Datasets
Female
Humanities and Social Sciences
Humans
Image Processing, Computer-Assisted
Life Sciences
Magnetic Resonance Imaging
Male
multidisciplinary
Neuroimaging
Neurons and Cognition
Reproducibility
Reproducibility of Results
Science
Science (multidisciplinary)
Spinal cord
Spinal Cord - diagnostic imaging
Spinal Cord - ultrastructure
Spine
Statistical analysis
ISSN:2052-4463, 2052-4463
Online Access:Get full text
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Summary:In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/ . The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord. Measurement(s) spinal cord Technology Type(s) magnetic resonance imaging Factor Type(s) manufacturer • site Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Canada • Switzerland • Australia • United States of America • United Kingdom • Germany • French Republic • Czech Republic • Italy • Japan • Kingdom of Spain • China Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14052269
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ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-021-00941-8