Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain

Detalhes bibliográficos
Autor(a) principal: Vale, Beatriz Alexandra Andrade do
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/61504
Resumo: Tese de mestrado, Engenharia Biomédica e Biofísica , 2023, Universidade de Lisboa, Faculdade de Ciências
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spelling Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brainplaneamento pré-cirúrgicomapeamento da linguagem por RMfRMf baseada em tarefasRMf em repousoanálise de componentes independentesTeses de mestrado - 2023Departamento de FísicaTese de mestrado, Engenharia Biomédica e Biofísica , 2023, Universidade de Lisboa, Faculdade de CiênciasPre-surgical planning often involves task-based functional magnetic resonance imaging (fMRI) in the context of intractable epilepsy or low-grade gliomas. Recently, resting-state fMRI has been used since it is a simpler technique and does not require the patient to cooperate in complex cognitive tasks. However, the methods for resting-state fMRI analysis are not yet robust or of practical usage. This work proposes a method for optimally sorting components resulting from independent component analysis (ICA) so that components representing language resting-state networks take the first places in the component order. We recruited 20 healthy, right-handed volunteers and acquired both resting-state fMRI and task-fMRI using three linguistic tasks: object naming, verbal responsive naming, and verb generation. Task data were processed using general linear model (GLM) analysis while resting-state networks were extracted using ICA. Furthermore, an automated sorting procedure was developed for the extracted ICs based on three characteristics: spatial similarity with a probability map, the ratio of low/high frequency and IC reliability over several bootstrapping folds. Task-related activation consistent with the language network was identified at the individual and group-level. Furthermore, the proposed algorithm is shown to sort ICs with a guarantee that the resting-state language maps appear among the first five with an accuracy of 75%. Overall, there was a good overlap between the sorted ICs of relevance and the task subject-specific language maps measured by the Dice coefficient (mean of 0.505 within language regions of interest). Comparison between task and resting-state language maps showed that resting-state networks were more specific and less sensitive than task-based maps. We expect optimally sorting components can contribute to making ICA usage viable in the clinical context and become an alternative reliable method for pre-surgical planning in patients who cannot follow a task-fMRI protocol.Andrade, Alexandre da Rocha Freire de, 1971-Repositório da Universidade de LisboaVale, Beatriz Alexandra Andrade do2023-12-22T11:31:33Z202320232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/61504enginfo: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:RCAAP2023-12-25T01:19:08Zoai:repositorio.ul.pt:10451/61504Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:56:09.111420Repositório 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 Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
title Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
spellingShingle Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
Vale, Beatriz Alexandra Andrade do
planeamento pré-cirúrgico
mapeamento da linguagem por RMf
RMf baseada em tarefas
RMf em repouso
análise de componentes independentes
Teses de mestrado - 2023
Departamento de Física
title_short Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
title_full Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
title_fullStr Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
title_full_unstemmed Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
title_sort Using resting-state fMRI, innovative language tasks and automated sorting of brain networks to improve pre-surgical mapping of the brain
author Vale, Beatriz Alexandra Andrade do
author_facet Vale, Beatriz Alexandra Andrade do
author_role author
dc.contributor.none.fl_str_mv Andrade, Alexandre da Rocha Freire de, 1971-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Vale, Beatriz Alexandra Andrade do
dc.subject.por.fl_str_mv planeamento pré-cirúrgico
mapeamento da linguagem por RMf
RMf baseada em tarefas
RMf em repouso
análise de componentes independentes
Teses de mestrado - 2023
Departamento de Física
topic planeamento pré-cirúrgico
mapeamento da linguagem por RMf
RMf baseada em tarefas
RMf em repouso
análise de componentes independentes
Teses de mestrado - 2023
Departamento de Física
description Tese de mestrado, Engenharia Biomédica e Biofísica , 2023, Universidade de Lisboa, Faculdade de Ciências
publishDate 2023
dc.date.none.fl_str_mv 2023-12-22T11:31:33Z
2023
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/10451/61504
url http://hdl.handle.net/10451/61504
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
repository.mail.fl_str_mv
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