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dc.contributor.authorLerma-Usabiaga, Garikoitz
dc.contributor.authorMukherjee, Pratik
dc.contributor.authorPerry, Michael L.
dc.contributor.authorWandell, Brian A.
dc.date.accessioned2020-12-17T13:31:45Z
dc.date.available2020-12-17T13:31:45Z
dc.date.issued2020
dc.identifier.citationLerma-Usabiaga, G., Mukherjee, P., Perry, M.L. et al. Data-science ready, multisite, human diffusion MRI white-matter-tract statistics. Sci Data 7, 422 (2020). https://doi.org/10.1038/s41597-020-00760-3es_ES
dc.identifier.issn2052-4463
dc.identifier.urihttp://hdl.handle.net/10810/49147
dc.descriptionPublished 30 November 2020es_ES
dc.description.abstractThe white matter tracts in the living human brain are critical for healthy function, and the diffusion MRI measured in these tracts is correlated with diverse behavioral measures. The technical skills required to analyze diffusion MRI data are complex: data acquisition requires MRI sequence development and acquisition expertise, analyzing raw-data into meaningful summary statistics requires computational neuroimaging and neuroanatomy expertise. The human white matter study field will advance faster if the tract summaries are available in plain data-science-ready format for non-diffusion MRI experts, such as statisticians, computer graphic researchers or data scientists in general. Here, we share a curated and processed dataset from three different MRI centers in a format that is data-science ready. The multisite data we share include measures of within and between MRI center variation in white-matter-tract diffusion measurements. Along with the dataset description and summary statistics, we describe the state-of-the-art computational system that guarantees reproducibility and provenance from the original scanner output.es_ES
dc.description.sponsorshipThis work was supported by a Marie Sklodowska-Curie (H2020-MSCA-IF-2017-795807-ReCiModel) grant to G.L.-U. We thank the Simons Foundation Autism Research Initiative and Weston Havens foundation for support.es_ES
dc.language.isoenges_ES
dc.publisherScientific Dataes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020- MSCA-IF-2017-795807-ReCiModeles_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.titleData-science ready, multisite, human diffusion MRI whitematter- tract statisticses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.es_ES
dc.relation.publisherversionhttps://www.nature.com/sdata/es_ES
dc.identifier.doi10.1038/s41597-020-00760-3


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