Mapping the maturation pattern of monkey brain connections using diffusion MRI

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Inês Mexia
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/33913
Resumo: Tese de mestrado integrado, Engenharia Biomédica e Biofísica (Biofísica Médica e Fisiologia de Sistemas) Universidade de Lisboa, Faculdade de Ciências, 2018
id RCAP_b8adf486698ac030922f9c0eb0a8ae7f
oai_identifier_str oai:repositorio.ul.pt:10451/33913
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Mapping the maturation pattern of monkey brain connections using diffusion MRIMaturaçãoIRM de difusãoDTINODDITratografiaTeses de mestrado - 2018Departamento de FísicaTese de mestrado integrado, Engenharia Biomédica e Biofísica (Biofísica Médica e Fisiologia de Sistemas) Universidade de Lisboa, Faculdade de Ciências, 2018The human brain undergoes a complex process of development during childhood and adolescence. During this maturation process, microstructural changes can be examined in detail using neuroimaging techniques. In particular, diffusion magnetic resonance imaging (MRI) uses the diffusion of water molecules to generate contrast in magnetic resonance (MR) images. Although this non-invasive medical tool currently shows great promise, allowing different reconstruction methods to quantify the neural environment, their limitations do not allow it to be fully characterized. With this said, it is relevant to incorporate in one analysis different reconstruction algorithms in order to cross different informations and draw more clarifying conclusions. Therefore, the aim of this project is to investigate tissue microstructure during the maturation process in the Vervet monkey brains from childhood to adulthood. For that, DTI(Diffusion Tensor Imaging) and NODDI(Neurite Orientation Dispersion and Density Imaging) models were studied in exvivo data from 25 healthy monkeys. The first model uses the orientation of white matter (WM) fibres in order to estimate diffusion related parameters as fractional anisotropy (FA),mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD).The latter tries to fit a MR signal to biological structures, estimating the morphology and volume of neurites. Regions of interest (ROIs) were manually drawn and tractography was performed in order to visualize and quantify maturation changes in specific pathways through the analysis of these parameters. Besides collecting valuable information on the microstructure features that changed during maturation, information about myelination was possible to acquire due to volume analysis. Volume increase is shown in all fibres and global WM, demonstrating extended myelin production until early adulthood.On the other hand, volume increase in grey matter(GM)was not so abrupt, coherent with its lack of myelin sheets. Regarding changes in the brain’smicrostructure, the WM fibres get a preferred orientation,reflected on the increasing anisotropy. At the same time, fibres’structures get denser,which might lead to a decreased rate of diffusivity. Both the intracellular and the isotropic volumes increase. Using the general linear model (GLM)fromSPSS, it was shown that these microstructure features appear to vary more during the first 12months of age (5yearsinhumans). It was also demonstrated that anisotropy can be defined by intracellular volume and dispersion, concluding that NODDI and DTI should be used together as they complement each other. Lastly, it was discussed that myelination and microstructure processes might occur in the same timescale as their trends are similar. These findings enrich the understanding of the maturation on the brain and its changing features from childhood to adulthood in monkeys.Dyrby, TimAndrade, Alexandre da Rocha Freire de, 1971-Repositório da Universidade de LisboaRodrigues, Inês Mexia2018-06-14T15:15:21Z201820182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/33913TID:201989131enginfo: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:RCAAP2023-11-08T16:28:53Zoai:repositorio.ul.pt:10451/33913Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:48:44.686626Repositório 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 Mapping the maturation pattern of monkey brain connections using diffusion MRI
title Mapping the maturation pattern of monkey brain connections using diffusion MRI
spellingShingle Mapping the maturation pattern of monkey brain connections using diffusion MRI
Rodrigues, Inês Mexia
Maturação
IRM de difusão
DTI
NODDI
Tratografia
Teses de mestrado - 2018
Departamento de Física
title_short Mapping the maturation pattern of monkey brain connections using diffusion MRI
title_full Mapping the maturation pattern of monkey brain connections using diffusion MRI
title_fullStr Mapping the maturation pattern of monkey brain connections using diffusion MRI
title_full_unstemmed Mapping the maturation pattern of monkey brain connections using diffusion MRI
title_sort Mapping the maturation pattern of monkey brain connections using diffusion MRI
author Rodrigues, Inês Mexia
author_facet Rodrigues, Inês Mexia
author_role author
dc.contributor.none.fl_str_mv Dyrby, Tim
Andrade, Alexandre da Rocha Freire de, 1971-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Rodrigues, Inês Mexia
dc.subject.por.fl_str_mv Maturação
IRM de difusão
DTI
NODDI
Tratografia
Teses de mestrado - 2018
Departamento de Física
topic Maturação
IRM de difusão
DTI
NODDI
Tratografia
Teses de mestrado - 2018
Departamento de Física
description Tese de mestrado integrado, Engenharia Biomédica e Biofísica (Biofísica Médica e Fisiologia de Sistemas) Universidade de Lisboa, Faculdade de Ciências, 2018
publishDate 2018
dc.date.none.fl_str_mv 2018-06-14T15:15:21Z
2018
2018
2018-01-01T00:00:00Z
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/10451/33913
TID:201989131
url http://hdl.handle.net/10451/33913
identifier_str_mv TID:201989131
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
_version_ 1799134417758715904

Registros relacionados