Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing
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/10451/58959 |
Resumo: | Tese de Mestrado, Engenharia Biomédica e Biofísica, 2023, Universidade de Lisboa, Faculdade de Ciências |
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Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewingRessonância Magnética FuncionalAdolescênciaEstado de repousoTarefaRede neuronalTeses de mestrado - 2023Domínio/Área Científica::Ciências Naturais::Ciências FísicasTese de Mestrado, Engenharia Biomédica e Biofísica, 2023, Universidade de Lisboa, Faculdade de CiênciasMost Functional Magnetic Resonance Imaging (fMRI) studies with the goal of understanding the Functional Connectivity (FC) of the brain have applied Resting-State fMRI to study connectivity between different brain regions. With the objective of applying a new method, we developed a novel approach using a passive task-based fMRI acquisition created to induce the shifting of brain networks, and thus increase between network connectivity. This approach consists of an array of images and stimuli created to excite specific networks and thus to enhance Functional Connectivity. We applied this novel paradigm in both typically developing youth and youth with Anorexia Nervosa (AN). AN is a severe psychological disorder characterized by an obsessive desire to lose weight by refusing to eat. We hypothesised that, using only healthy participants, viewing the Passive-Task will create a stronger shifts between different networks, translated in a higher FC between regions of distinct networks, when compared to the shift of networks at Resting-State. Also we hypothesised that no significant differences within the connectivity of regions of the same networks would be found between Resting-State and Passive-Task. Results show a greater connectivity during the Passive-Task in areas related to Executive Control, such as the insula and the Lateral Prefrontal Cortex, with areas from the Secondary Visual and Lateral Parietal Occipital networks. Higher connectivity at rest was found in the majority of the pairs of connected regions, especially related to the Cerebellar-Occipital networks. Although our results were not as hypothesised, this work proposes a new view on the use of passive viewing tasks, in the study of FC and network shifts. In the future, the goal of the task is to be used to compare FC in cases of AN with controls.White, TonyaAndrade, Alexandre da Rocha Freire deRepositório da Universidade de LisboaDias, Laura Monteiro Rente2023-08-22T15:25:30Z202320222023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/58959enginfo: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:RCAAP2023-11-08T17:07:56Zoai:repositorio.ul.pt:10451/58959Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:09:01.643670Repositório 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 |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
title |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
spellingShingle |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing Dias, Laura Monteiro Rente Ressonância Magnética Funcional Adolescência Estado de repouso Tarefa Rede neuronal Teses de mestrado - 2023 Domínio/Área Científica::Ciências Naturais::Ciências Físicas |
title_short |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
title_full |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
title_fullStr |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
title_full_unstemmed |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
title_sort |
Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing |
author |
Dias, Laura Monteiro Rente |
author_facet |
Dias, Laura Monteiro Rente |
author_role |
author |
dc.contributor.none.fl_str_mv |
White, Tonya Andrade, Alexandre da Rocha Freire de Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Dias, Laura Monteiro Rente |
dc.subject.por.fl_str_mv |
Ressonância Magnética Funcional Adolescência Estado de repouso Tarefa Rede neuronal Teses de mestrado - 2023 Domínio/Área Científica::Ciências Naturais::Ciências Físicas |
topic |
Ressonância Magnética Funcional Adolescência Estado de repouso Tarefa Rede neuronal Teses de mestrado - 2023 Domínio/Área Científica::Ciências Naturais::Ciências Físicas |
description |
Tese de Mestrado, Engenharia Biomédica e Biofísica, 2023, Universidade de Lisboa, Faculdade de Ciências |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2023-08-22T15:25:30Z 2023 2023-01-01T00:00:00Z |
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/10451/58959 |
url |
http://hdl.handle.net/10451/58959 |
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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1799134646424829952 |