Huntington's disease : morphometric chances in prodromal and diagnosed patients
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/85275 |
Resumo: | Trabalho final de mestrado integrado em medicina área científica de Neurociências, apresentado á Faculdade de Medicina da Universidade de Coimbra |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Huntington's disease : morphometric chances in prodromal and diagnosed patientsHuntington’s diseaseMRIcerebral cortexcortical thicknesscross sectional analysisDomínio/Área Científica::Ciências MédicasTrabalho final de mestrado integrado em medicina área científica de Neurociências, apresentado á Faculdade de Medicina da Universidade de CoimbraNeuroimaging 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 HD2013-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/85275http://hdl.handle.net/10316/85275engLeitão, Rui Pedro Rodrigues Pereirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-01-20T17:48:45Zoai:estudogeral.uc.pt:10316/85275Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:06:37.838304Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
title |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
spellingShingle |
Huntington's disease : morphometric chances in prodromal and diagnosed patients Leitão, Rui Pedro Rodrigues Pereira Huntington’s disease MRI cerebral cortex cortical thickness cross sectional analysis Domínio/Área Científica::Ciências Médicas |
title_short |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
title_full |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
title_fullStr |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
title_full_unstemmed |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
title_sort |
Huntington's disease : morphometric chances in prodromal and diagnosed patients |
author |
Leitão, Rui Pedro Rodrigues Pereira |
author_facet |
Leitão, Rui Pedro Rodrigues Pereira |
author_role |
author |
dc.contributor.author.fl_str_mv |
Leitão, Rui Pedro Rodrigues Pereira |
dc.subject.por.fl_str_mv |
Huntington’s disease MRI cerebral cortex cortical thickness cross sectional analysis Domínio/Área Científica::Ciências Médicas |
topic |
Huntington’s disease MRI cerebral cortex cortical thickness cross sectional analysis Domínio/Área Científica::Ciências Médicas |
description |
Trabalho final de mestrado integrado em medicina área científica de Neurociências, apresentado á Faculdade de Medicina da Universidade de Coimbra |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/85275 http://hdl.handle.net/10316/85275 |
url |
http://hdl.handle.net/10316/85275 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133958999375872 |