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

Cohen-Adad, J., Alonso-Ortiz, E., Abramovic, M., Arneitz, C., Atcheson, N., Barlow, L., et al. (2021). Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Scientific Data, 8: 219. doi:10.1038/s41597-021-00941-8.

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Cohen-Adad, Julien1, Author
Alonso-Ortiz, Eva1, Author
Abramovic, Mihael1, Author
Arneitz, Carina1, Author
Atcheson, Nicole1, Author
Barlow, Laura1, Author
Barry, Robert L.1, Author
Barth, Markus1, Author
Battiston, Marco1, Author
Büchel, Christian1, Author
Budde, Matthew1, Author
Callot, Virginie1, Author
Combes, Anna J. E.1, Author
De Leener, Benjamin1, Author
Descoteaux, Maxime1, Author
de Sousa, Paulo Loureiro1, Author
Dostál, Marek1, Author
Doyon, Julien1, Author
Dvorak, Adam1, Author
Eippert, Falk2, Author              
Epperson, Karla R.1, AuthorEpperson, Kevin S.1, AuthorFreund, Patrick3, Author              Finsterbusch, Jürgen1, AuthorFoias, Alexandru1, AuthorFratini, Michela1, AuthorFukunaga, Issei1, AuthorGandini Wheeler-Kingshott, Claudia A. M.1, AuthorGermani, Giancarlo1, AuthorGilbert, Guillaume1, AuthorGiove, Federico1, AuthorGros, Charley1, AuthorGrussu, Francesco1, AuthorHagiwara, Akifumi1, AuthorHenry, Pierre-Gilles1, AuthorHorák, Tomáš1, AuthorHori, Masaaki1, AuthorJoers, James1, AuthorKamiya, Kouhei1, AuthorKarbasforoushan, Haleh1, AuthorKeřkovský, Miloš1, AuthorKhatibi, Ali1, AuthorKim, Joo-Won1, AuthorKinany, Nawal1, AuthorKitzler, Hagen H.1, AuthorKolind, Shannon1, AuthorKong, Yazhuo1, AuthorKudlička, Petr1, AuthorKuntke, Paul1, AuthorKurniawan, Nyoman D.1, AuthorKusmia, Slawomir1, AuthorLabounek, René1, AuthorLaganà, Maria Marcella1, AuthorLaule, Cornelia1, AuthorLaw, Christine S.1, AuthorLenglet, Christophe1, AuthorLeutritz, Tobias3, Author              Liu, Yaou1, AuthorLlufriu, Sara1, AuthorMackey, Sean1, AuthorMartinez-Heras, Eloy1, AuthorMattera, Loan1, AuthorNestrasil, Igor1, AuthorO’Grady, Kristin P.1, AuthorPapinutto, Nico1, AuthorPapp, Daniel1, AuthorPareto, Deborah1, AuthorParrish, Todd B.1, AuthorPichiecchio, Anna1, AuthorPrados, Ferran1, AuthorRovira, Àlex1, AuthorRuitenberg, Marc J.1, AuthorSamson, Rebecca S.1, AuthorSavini, Giovanni1, AuthorSeif, Maryam1, AuthorSeifert, Alan C.1, AuthorSmith, Alex K.1, AuthorSmith, Seth A.1, AuthorSmith, Zachary A.1, AuthorSolana, Elisabeth1, AuthorSuzuki, Y.1, AuthorTackley, George1, AuthorTinnermann, Alexandra1, AuthorValošek, Jan1, AuthorVan De Ville, Dimitri1, AuthorYiannakas, Marios C.1, AuthorWeber II, Kenneth A.1, AuthorWeiskopf, Nikolaus3, Author              Wise, Richard G.1, AuthorWyss, Patrik O.1, AuthorXu, Junqian1, Author more..
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Pain Perception, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2497695              
3Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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Free keywords: Databases; Imaging techniques; Spinal cord diseases
 Abstract: 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.

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Language(s): eng - English
 Dates: 2020-12-092021-03-262021-08-16
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41597-021-00941-8
PMID: 34400655
 Degree: -

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Title: Scientific Data
  Abbreviation : Sci. Data
Source Genre: Journal
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Publ. Info: London, United Kingdom : Nature Publishing Group
Pages: - Volume / Issue: 8 Sequence Number: 219 Start / End Page: - Identifier: ISSN: 2052-4463
CoNE: https://pure.mpg.de/cone/journals/resource/2052-4463