Diffusion tensor imaging metrics associated with future disability in multiple sclerosis

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  • dc.contributor.author López-Soley, Elisabet
  • dc.contributor.author Martínez-Heras, Eloy
  • dc.contributor.author Solana, Elisabeth
  • dc.contributor.author Solanes, Aleix
  • dc.contributor.author Radua, Joaquim
  • dc.contributor.author Vivó Pascual, Francesc
  • dc.contributor.author Prados Carrasco, Ferran
  • dc.contributor.author Sepúlveda, Maria
  • dc.contributor.author Jose Maria Cabrera-Maqueda
  • dc.contributor.author Fonseca, Eduardo
  • dc.contributor.author Blanco, Yolanda
  • dc.contributor.author Alba-Arbalat, Salut
  • dc.contributor.author Martínez Lapiscina, Elena H.
  • dc.contributor.author Villoslada, Pablo
  • dc.contributor.author Saiz, Albert
  • dc.contributor.author Llufriu, Sara
  • dc.date.accessioned 2025-05-05T06:13:11Z
  • dc.date.available 2025-05-05T06:13:11Z
  • dc.date.issued 2023
  • dc.description.abstract The relationship between brain diffusion microstructural changes and disability in multiple sclerosis (MS) remains poorly understood. We aimed to explore the predictive value of microstructural properties in white (WM) and grey matter (GM), and identify areas associated with mid-term disability in MS patients. We studied 185 patients (71% female; 86% RRMS) with the Expanded Disability Status Scale (EDSS), timed 25-foot walk (T25FW), nine-hole peg test (9HPT), and Symbol Digit Modalities Test (SDMT) at two time-points. We used Lasso regression to analyse the predictive value of baseline WM fractional anisotropy and GM mean diffusivity, and to identify areas related to each outcome at 4.1 years follow-up. Motor performance was associated with WM (T25FW: RMSE = 0.524, R2 = 0.304; 9HPT dominant hand: RMSE = 0.662, R2 = 0.062; 9HPT non-dominant hand: RMSE = 0.649, R2 = 0.139), and SDMT with GM diffusion metrics (RMSE = 0.772, R2 = 0.186). Cingulum, longitudinal fasciculus, optic radiation, forceps minor and frontal aslant were the WM tracts most closely linked to motor dysfunction, and temporal and frontal cortex were relevant for cognition. Regional specificity related to clinical outcomes provide valuable information that can be used to develop more accurate predictive models that could improve therapeutic strategies.en
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Lopez-Soley E, Martinez-Heras E, Solana E, Solanes A, Radua J, Vivo F, et al. Diffusion tensor imaging metrics associated with future disability in multiple sclerosis. Sci Rep. 2023 Mar 2;13:3565. DOI: 10.1038/s41598-023-30502-5
  • dc.identifier.doi http://dx.doi.org/10.1038/s41598-023-30502-5
  • dc.identifier.issn 2045-2322
  • dc.identifier.uri http://hdl.handle.net/10230/70264
  • dc.language.iso eng
  • dc.publisher Nature Research
  • dc.relation.ispartof Scientific Reports. 2023 Mar 2;13:3565
  • dc.rights 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://creativecommons.org/licenses/by/4.0/.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.other Aprenentatge automàticca
  • dc.subject.other Esclerosi múltipleca
  • dc.subject.other Cervellca
  • dc.title Diffusion tensor imaging metrics associated with future disability in multiple sclerosisen
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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