Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/56135 |
Resumo: | Tese de mestrado integrado, Engenharia Biomédica e Biofísica, 2022, Universidade de Lisboa, Faculdade de Ciências |
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Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivopipelineplasticidade da mielinacamadas corticaisin vivoressonância magnética de campo ultra-altoTeses de mestrado - 2022Departamento de FísicaTese de mestrado integrado, Engenharia Biomédica e Biofísica, 2022, Universidade de Lisboa, Faculdade de CiênciasThe ventral occipital-temporal cortex (VOTC) is a high-level area in the visual cortex where specific regions are exclusively category-selective for certain visual stimuli. Some studies have demonstrated that absence of visual experience can reshape this functional architecture. In particular, they demonstrated that crossmodal plasticity due to blindness causes a remodeling of the category topographic map in response to auditory stimuli, reflecting closely the visual category topographic map in the sighted population. To our knowledge, it has not yet been investigated if this topographic map remodeling in the absence of bottom-up visual inputs during development is also reflected in the myelin distribution laminar profile within VOTC regions. Nowadays, advancements in neuroimaging techniques allow the mesoscale (submillimeter) in vivo myelin profiling using quantitative markers and 7T ultra-high field (UHF) magnetic resonance imaging (MRI). The aim of this dissertation is to select the MRI sequence available in the 7T MRI at the Cyclotron Research Center (ULiège) that would best allow the quantification of myelin density in the VOTC of sighted and blind individuals and to develop an open-source pipeline to characterize the myelin laminar distribution in the regions of interest in both groups. The assessment of noise and variability between scans demonstrated that compared to the multiparametric mapping sequences, MP2RAGE provides quantitative and reproducible high-resolution myelin maps. The myelin laminar profiles obtained in the regions of interest are in line with previous ex vivo and in vivo studies, demonstrating that MP2RAGE is a measure allowing myelin cortical profiling in VOTC with faster data acquisition. The pipeline here developed corresponds to the first stages of the above-mentioned project and will allow in the future comparative studies of the cortical laminar organization between the blind and sighted populations, improving our understanding about the role of crossmodal plasticity in reshaping cortex microstructure.Andrade, Alexandre da Rocha Freire de, 1971-Collignon, OlivierRepositório da Universidade de LisboaNunes, Márcia Cláudia Guimarães2023-02-03T11:45:46Z202220222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/56135enginfo: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:RCAAP2023-11-08T17:03:31Zoai:repositorio.ul.pt:10451/56135Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:06:40.825808Repositório 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 |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
title |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
spellingShingle |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo Nunes, Márcia Cláudia Guimarães pipeline plasticidade da mielina camadas corticais in vivo ressonância magnética de campo ultra-alto Teses de mestrado - 2022 Departamento de Física |
title_short |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
title_full |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
title_fullStr |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
title_full_unstemmed |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
title_sort |
Building an analysis pipeline to explore at ultra-high field (7T) MRI the laminar distribution of myelin in the human cortex in vivo |
author |
Nunes, Márcia Cláudia Guimarães |
author_facet |
Nunes, Márcia Cláudia Guimarães |
author_role |
author |
dc.contributor.none.fl_str_mv |
Andrade, Alexandre da Rocha Freire de, 1971- Collignon, Olivier Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Nunes, Márcia Cláudia Guimarães |
dc.subject.por.fl_str_mv |
pipeline plasticidade da mielina camadas corticais in vivo ressonância magnética de campo ultra-alto Teses de mestrado - 2022 Departamento de Física |
topic |
pipeline plasticidade da mielina camadas corticais in vivo ressonância magnética de campo ultra-alto Teses de mestrado - 2022 Departamento de Física |
description |
Tese de mestrado integrado, Engenharia Biomédica e Biofísica, 2022, Universidade de Lisboa, Faculdade de Ciências |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022 2022-01-01T00:00:00Z 2023-02-03T11:45:46Z |
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/10451/56135 |
url |
http://hdl.handle.net/10451/56135 |
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.format.none.fl_str_mv |
application/pdf |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799134619993374720 |