Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/355580
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampCendes, Fernando-
dc.typeArtigopt_BR
dc.titleUF2C — user-friendly functional connectivity : a neuroimaging toolbox for fMRI processing and analysespt_BR
dc.contributor.authorCampos, Brunno Machado de-
dc.contributor.authorCasseb, Raphael Fernandes-
dc.contributor.authorCendes, Fernando-
dc.subjectRessonância magnéticapt_BR
dc.subject.otherlanguageMagnetic resonancept_BR
dc.description.abstractThe User-Friendly Functional Connectivity (UF2C) software provides researchers with a platform to analyze functional magnetic resonance neuroimages from the initial preprocessing steps to the generation of manuscript-quality figures. UF2C is implemented in Matlab language and falls within the FreeBSD license. Our toolbox builds on a combination of existing methods to increase the user’s power to perform different types of resting-state functional connectivity, event-related, and task activation analyses. To keep up with ongoing advances in this field, UF2C is regularly updated to reflect these advances and incorporate user demandspt_BR
dc.relation.ispartofSoftwareXpt_BR
dc.publisher.cityAmsterdampt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherElsevierpt_BR
dc.date.issued2020-
dc.date.monthofcirculationJan./Junept_BR
dc.language.isoengpt_BR
dc.description.volume11pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.eissn2352-7110pt_BR
dc.identifier.doi10.1016/j.softx.2020.100434pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S2352711019301372pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber2017-25795-7; 2013-07559-3pt_BR
dc.date.available2021-02-11T13:26:48Z-
dc.date.accessioned2021-02-11T13:26:48Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2021-02-11T13:26:48Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-05-24T19:06:48Z : No. of bitstreams: 1 000549937400019.pdf: 3484914 bytes, checksum: e6b42baad82215878a022707d9c52678 (MD5)en
dc.description.provenanceMade available in DSpace on 2021-02-11T13:26:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2020en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/355580-
dc.contributor.departmentDepartamento de Neurologiapt_BR
dc.contributor.unidadeFaculdade de Ciências Médicaspt_BR
dc.subject.keywordEEG-fMRIpt_BR
dc.subject.keywordfMRI block-designpt_BR
dc.identifier.source000549937400019pt_BR
dc.creator.orcid0000-0001-9336-9568pt_BR
dc.type.formArtigo originalpt_BR
dc.identifier.articleid100434pt_BR
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