dc.contributor.author | Lerma‑Usabiaga, Garikoitz | |
dc.contributor.author | Liu, Mengxing | |
dc.contributor.author | Paz‑Alonso, Pedro M. | |
dc.contributor.author | Wandell, Brian A. | |
dc.date.accessioned | 2023-05-03T13:45:21Z | |
dc.date.available | 2023-05-03T13:45:21Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Lerma-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.citation | Scientific Reports | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://hdl.handle.net/10810/61013 | |
dc.description | Published: 2023 Apr 12 | es_ES |
dc.description.abstract | Diffusion 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.sponsorship | G. 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.iso | eng | es_ES |
dc.publisher | NATURE | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/IJC2020-042887-I | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PID2021-123577NA-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020- MSCA-IF-713673 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/RYC-ID2021-123574NB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/GV/BERC2022-2025 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/CEX2020-001010-S | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.title | Reproducible Tract Profiles 2 (RTP2) suite, from diffusion MRI acquisition to clinical practice and research | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | Open 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) 2023 | es_ES |
dc.relation.publisherversion | https://www.nature.com/srep/?gclid=CjwKCAjwjMiiBhA4EiwAZe6jQ1GVsON7jAX7t9Q41RHu8XiJZS72WeXTOhUA-yjrhP2tEqH8_dsQTxoC2BIQAvD_BwE | es_ES |
dc.identifier.doi | 10.1038/s41598-023-32924-7 | |