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dc.contributor.authorLerma‑Usabiaga, Garikoitz
dc.contributor.authorLiu, Mengxing
dc.contributor.authorPaz‑Alonso, Pedro M.
dc.contributor.authorWandell, Brian A.
dc.date.accessioned2023-05-03T13:45:21Z
dc.date.available2023-05-03T13:45:21Z
dc.date.issued2023
dc.identifier.citationLerma-Usabiaga G, Liu M, Paz-Alonso PM, Wandell BA. Reproducible Tract Profiles 2 (RTP2) suite, from diffusion MRI acquisition to clinical practice and research. Sci Rep. 2023 Apr 12;13(1):6010. doi: 10.1038/s41598-023-32924-7. PMID: 37045891; PMCID: PMC10097625.es_ES
dc.identifier.citationScientific Reports
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10810/61013
dc.descriptionPublished: 2023 Apr 12es_ES
dc.description.abstractDiffusion MRI is a complex technique, where new discoveries and implementations occur at a fast pace. The expertise needed for data analyses and accurate and reproducible results is increasingly demanding and requires multidisciplinary collaborations. In the present work we introduce Reproducible Tract Profiles 2 (RTP2), a set of flexible and automated methods to analyze anatomical MRI and diffusion weighted imaging (DWI) data for reproducible tractography. RTP2 reads structural MRI data and processes them through a succession of serialized containerized analyses. We describe the DWI algorithms used to identify white-matter tracts and their summary metrics, the flexible architecture of the platform, and the tools to programmatically access and control the computations. The combination of these three components provides an easy-to-use automatized tool developed and tested over 20 years, to obtain usable and reliable state-of-the-art diffusion metrics at the individual and group levels for basic research and clinical practice.es_ES
dc.description.sponsorshipG. L-U. was supported by grants from the Spanish Ministry of Science and Innovation (IJC2020-042887-I and PID2021-123577NA-I00) and Basque Government (PIBA-2022-1-0014); M.L. was supported by grants from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie (grant agreement No. 713673), and from “la Caixa” Foundation (grant No. 11660016); P.M.P.-A. was supported by grants from the Spanish Ministry of Science and Innovation (PID2021-123574NB-I00), from the Basque Government (PIBA-2021-1-0003), from the Red guipuzcoana de Ciencia, Tecnología e Innovación of the Diputación Foral de Gipuzkoa (FA/OF 422/2022), from “la Caixa” Foundation (ID 100010434) under the agreement HR18-00178-DYSTHAL. BCBL acknowledges support by the Basque Government through the BERC 2022–2025 program and by the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation CEX2020-001010-S.es_ES
dc.language.isoenges_ES
dc.publisherNATUREes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/IJC2020-042887-Ies_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PID2021-123577NA-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020- MSCA-IF-713673es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/RYC-ID2021-123574NB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/GV/BERC2022-2025es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CEX2020-001010-Ses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.titleReproducible Tract Profiles 2 (RTP2) suite, from diffusion MRI acquisition to clinical practice and researches_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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/. © The Author(s) 2023es_ES
dc.relation.publisherversionhttps://www.nature.com/srep/?gclid=CjwKCAjwjMiiBhA4EiwAZe6jQ1GVsON7jAX7t9Q41RHu8XiJZS72WeXTOhUA-yjrhP2tEqH8_dsQTxoC2BIQAvD_BwEes_ES
dc.identifier.doi10.1038/s41598-023-32924-7


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