Diffusion tensor imaging metrics associated with future disability in multiple sclerosis

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dc.contributor.authorLopez-Soley, E.
dc.contributor.authorMartinez-Heras, E.
dc.contributor.authorSolana, E.
dc.contributor.authorSolanes, A.
dc.contributor.authorRadua, J.
dc.contributor.authorVivo, F.
dc.contributor.authorPrados, F.
dc.contributor.authorSepulveda, M.
dc.contributor.authorCabrera-Maqueda, J. M.
dc.contributor.authorFonseca, E.
dc.contributor.authorBlanco, Y.
dc.contributor.authorAlba-Arbalat, S.
dc.contributor.authorMartinez-Lapiscina, E. H.
dc.contributor.authorVilloslada, P.
dc.contributor.authorSaiz, A.
dc.contributor.authorLlufriu, S.
dc.date.accessioned2025-01-20T20:07:14Z
dc.date.available2025-01-20T20:07:14Z
dc.date.issued2023
dc.description.abstractThe 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, R-2=0.304; 9HPT dominant hand: RMSE=0.662, R-2=0.062; 9HPT non-dominant hand: RMSE=0.649, R-2=0.139), and SDMT with GM diffusion metrics (RMSE=0.772, R-2=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.
dc.fuente.origenWOS
dc.identifier.doi10.1038/s41598-023-30502-5
dc.identifier.issn2045-2322
dc.identifier.urihttps://doi.org/10.1038/s41598-023-30502-5
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/91778
dc.identifier.wosidWOS:001048344700040
dc.issue.numero1
dc.language.isoen
dc.revistaScientific reports
dc.rightsacceso restringido
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleDiffusion tensor imaging metrics associated with future disability in multiple sclerosis
dc.typeartículo
dc.volumen13
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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