BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/33325 |
Resumo: | Multimodal neuroimaging studies have recently become a trend in the neuroimaging field and are certainly a standard for the future. Brain connectivity studies combining functional activation patterns using resting-state or task-related functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) tractography have growing popularity. However, there is a scarcity of solutions to perform optimized, intuitive, and consistent multimodal fMRI/DTI studies. Here we propose a new tool, brain connectivity analysis tool (Brain CAT), for an automated and standard multimodal analysis of combined fMRI/DTI data, using freely available tools. With a friendly graphical user interface, BrainCAT aims to make data processing easier and faster, implementing a fully automated data processing pipeline and minimizing the need for user intervention, which hopefully will expand the use of combined fMRI/DTI studies. Its validity was tested in an aging study of the default mode network (DMN) white matter connectivity. The results evidenced the cingulum bundle as the structural connector of the precuneus/posterior cingulate cortex and the medial frontal cortex, regions of the DMN. Moreover, mean fractional anisotropy (FA) values along the cingulum extracted with BrainCAT showed a strong correlation with FA values from the manual selection of the same bundle. Taken together, these results provide evidence that BrainCAT is suitable for these analyses. |
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BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysisBrainCATFMRIDTIIndependent component analysisTractographyConnectivityAutomated pipelineMultimodal neuroimagingScience & TechnologySocial SciencesMultimodal neuroimaging studies have recently become a trend in the neuroimaging field and are certainly a standard for the future. Brain connectivity studies combining functional activation patterns using resting-state or task-related functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) tractography have growing popularity. However, there is a scarcity of solutions to perform optimized, intuitive, and consistent multimodal fMRI/DTI studies. Here we propose a new tool, brain connectivity analysis tool (Brain CAT), for an automated and standard multimodal analysis of combined fMRI/DTI data, using freely available tools. With a friendly graphical user interface, BrainCAT aims to make data processing easier and faster, implementing a fully automated data processing pipeline and minimizing the need for user intervention, which hopefully will expand the use of combined fMRI/DTI studies. Its validity was tested in an aging study of the default mode network (DMN) white matter connectivity. The results evidenced the cingulum bundle as the structural connector of the precuneus/posterior cingulate cortex and the medial frontal cortex, regions of the DMN. Moreover, mean fractional anisotropy (FA) values along the cingulum extracted with BrainCAT showed a strong correlation with FA values from the manual selection of the same bundle. Taken together, these results provide evidence that BrainCAT is suitable for these analyses.The authors thank the developers of all the software tools used by BrainCAT, namely, MRIcron, FSL, Diffusion Toolkit, and TrackVis. This work was supported by SwitchBox-FP7-HEALTH-2010-grant 259772-2.Frontiers MediaUniversidade do MinhoMarques, Paulo César GonçalvesSoares, José MiguelAlves, VictorSousa, Nuno2013-11-212013-11-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/33325eng1662-516110.3389/fnhum.2013.00794http://www.frontiersin.orginfo: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:RCAAP2023-07-21T12:53:39Zoai:repositorium.sdum.uminho.pt:1822/33325Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:53:04.415661Repositório 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 |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
title |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
spellingShingle |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis Marques, Paulo César Gonçalves BrainCAT FMRI DTI Independent component analysis Tractography Connectivity Automated pipeline Multimodal neuroimaging Science & Technology Social Sciences |
title_short |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
title_full |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
title_fullStr |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
title_full_unstemmed |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
title_sort |
BrainCAT: a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis |
author |
Marques, Paulo César Gonçalves |
author_facet |
Marques, Paulo César Gonçalves Soares, José Miguel Alves, Victor Sousa, Nuno |
author_role |
author |
author2 |
Soares, José Miguel Alves, Victor Sousa, Nuno |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Marques, Paulo César Gonçalves Soares, José Miguel Alves, Victor Sousa, Nuno |
dc.subject.por.fl_str_mv |
BrainCAT FMRI DTI Independent component analysis Tractography Connectivity Automated pipeline Multimodal neuroimaging Science & Technology Social Sciences |
topic |
BrainCAT FMRI DTI Independent component analysis Tractography Connectivity Automated pipeline Multimodal neuroimaging Science & Technology Social Sciences |
description |
Multimodal neuroimaging studies have recently become a trend in the neuroimaging field and are certainly a standard for the future. Brain connectivity studies combining functional activation patterns using resting-state or task-related functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) tractography have growing popularity. However, there is a scarcity of solutions to perform optimized, intuitive, and consistent multimodal fMRI/DTI studies. Here we propose a new tool, brain connectivity analysis tool (Brain CAT), for an automated and standard multimodal analysis of combined fMRI/DTI data, using freely available tools. With a friendly graphical user interface, BrainCAT aims to make data processing easier and faster, implementing a fully automated data processing pipeline and minimizing the need for user intervention, which hopefully will expand the use of combined fMRI/DTI studies. Its validity was tested in an aging study of the default mode network (DMN) white matter connectivity. The results evidenced the cingulum bundle as the structural connector of the precuneus/posterior cingulate cortex and the medial frontal cortex, regions of the DMN. Moreover, mean fractional anisotropy (FA) values along the cingulum extracted with BrainCAT showed a strong correlation with FA values from the manual selection of the same bundle. Taken together, these results provide evidence that BrainCAT is suitable for these analyses. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-11-21 2013-11-21T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/33325 |
url |
http://hdl.handle.net/1822/33325 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1662-5161 10.3389/fnhum.2013.00794 http://www.frontiersin.org |
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.publisher.none.fl_str_mv |
Frontiers Media |
publisher.none.fl_str_mv |
Frontiers Media |
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 |
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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1799133125839683584 |