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dc.contributor.advisorCaetano, Gina-
dc.contributor.advisorCastelo-Branco, Miguel-
dc.contributor.authorLeitão, Rui Pedro Rodrigues Pereira-
dc.descriptionTrabalho final de mestrado integrado em medicina área científica de Neurociências, apresentado á Faculdade de Medicina da Universidade de Coimbrapt
dc.description.abstractNeuroimaging studies have proven to be a valuable resource in Huntington’s disease (HD). As an autosomal dominant genetic disorder, it is possible to identify individuals before they manifest clinical symptoms (“prodromal HD”). This study was designed to assess if neuroimaging measures could be useful to successfully distinguish prodromal individuals from previously clinically diagnosed patients. Seven participants with previously clinically diagnosed disease and eight individuals in a presymptomatic state underwent brain magnetic resonance imaging (MRI) and were matched and compared to a group of thirteen healthy controls. Cortical reconstruction and volumetric segmentation was performed with FreeSurfer 5.1. We have found significant statistical differences on Caudate, Putamen and Globus Pallidus, from both hemispheres. Diagnosed group had smaller volumes when compared to Prodromal and Control group. Thickness maps derived from Diagnosed and Control groups’ comparison revealed a thinning pattern affecting mostly the posterior and superior cerebral regions. Our results suggest that structural MRI volumes and thickness maps can be useful to monitor Huntington’s disease progression, allowing researchers to identify individuals in different stages of the disease. Clinical trials might benefit the most, by synergizing the current clinical diagnostic method with MRI measures to track neurodegenerative patterns of HDpt
dc.subjectHuntington’s diseasept
dc.subjectcerebral cortexpt
dc.subjectcortical thicknesspt
dc.subjectcross sectional analysispt
dc.titleHuntington's disease : morphometric chances in prodromal and diagnosed patientspt
dc.subject.fosDomínio/Área Científica::Ciências Médicaspt de Coimbrapt
item.fulltextCom Texto completo-
crisitem.advisor.deptFaculty of Medicine-
crisitem.advisor.parentdeptUniversity of Coimbra-
crisitem.advisor.researchunitCIBIT - Coimbra Institute for Biomedical Imaging and Translational Research-
Appears in Collections:FMUC Medicina - Teses de Mestrado
UC - Dissertações de Mestrado
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