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The neural basis of fatigue in multiple sclerosis: A multimodal MRI approach

dc.contributor.authorNovo, AM
dc.contributor.authorBatista, S
dc.contributor.authorAlves, C
dc.contributor.authord'Almeida, OC
dc.contributor.authorMarques, IB
dc.contributor.authorMacário, C
dc.contributor.authorSantana, I
dc.contributor.authorSousa, L
dc.contributor.authorCastelo-Branco, M
dc.contributor.authorCunha, L
dc.date.accessioned2019-08-22T15:22:25Z
dc.date.available2019-08-22T15:22:25Z
dc.date.issued2018-12
dc.description.abstractBACKGROUND: Fatigue is a frequent disabling symptom in multiple sclerosis (MS), but its pathophysiology remains incompletely understood. This study aimed to explore the underlying neural basis of fatigue in patients with MS. METHODS: We enrolled 60 consecutive patients with MS and 60 healthy controls (HC) matched on age, sex, and education. Fatigue was assessed using the Portuguese version of the Modified Fatigue Impact Scale (MFIS). All participants underwent 3T brain MRI (conventional and diffusion tensor imaging [DTI] sequences). White matter (WM) focal lesions were identified and T1/T2 lesion volumes were computed. Tract-based spatial statistics were applied for voxel-wise analysis of DTI metrics fractional anisotropy and mean diffusivity (MD) on normal-appearing WM (NAWM). Using Freesurfer software, total and regional volumes of cortical and subcortical gray matter (GM) were calculated. RESULTS: Compared to HC, patients with MS scored significantly higher on MFIS (33.8 ± 19.7 vs 16.5 ± 15.1, p < 0.001). MFIS scores were not significantly correlated with T1/T2 lesion volumes, total GM volume, or any regional volume of cortical and subcortical GM. Significant correlations were found between global scores of MFIS and MD increase of the NAWM skeleton, including corona radiata, internal capsule, external capsule, corticospinal tract, cingulum, corpus callosum, fornix, superior longitudinal fasciculus, superior fronto-occipital fasciculus, sagittal stratum, posterior thalamic radiation, cerebral peduncle, and uncinate fasciculus. CONCLUSIONS: In this study, fatigue was associated with widespread NAWM damage but not with lesion load or GM atrophy. Functional disconnection, caused by diffuse microstructural WM damage, might be the main neural basis of fatigue in MS.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNeurol Clin Pract. 2018 Dec;8(6):492-500.pt_PT
dc.identifier.doi10.1212/CPJ.0000000000000545pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.4/2252
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectEsclerose Múltiplapt_PT
dc.subjectRessonância Magnéticapt_PT
dc.subjectFatigapt_PT
dc.titleThe neural basis of fatigue in multiple sclerosis: A multimodal MRI approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage500pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage492-500pt_PT
oaire.citation.volume8pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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