Shifting Networks in functional Magnetic Resonance Imaging (MRI) : brain network properties derived comparing resting state versus passive viewing

Detalhes bibliográficos
Autor(a) principal: Dias, Laura Monteiro Rente
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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spelling 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
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
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