The SIGMA rat brain templates and atlases for multimodal MRI data analysis and visualization

dc.contributor.authorBarrière, D. A.por
dc.contributor.authorMagalhães, R.por
dc.contributor.authorNovais, A.por
dc.contributor.authorMarques, P.por
dc.contributor.authorSelingue, E.por
dc.contributor.authorGeffroy, F.por
dc.contributor.authorMarques, F.por
dc.contributor.authorCerqueira, J.por
dc.contributor.authorSousa, J. C.por
dc.contributor.authorBoumezbeur, F.por
dc.contributor.authorBottlaender, M.por
dc.contributor.authorJay, T. M.por
dc.contributor.authorCachia, A.por
dc.contributor.authorSousa, Nunopor
dc.contributor.authorMériaux, S.por
dc.date.accessioned2020-10-01T16:02:52Z
dc.date.available2020-10-01T16:02:52Z
dc.date.issued2019
dc.description.abstractPreclinical imaging studies offer a unique access to the rat brain, allowing investigations that go beyond what is possible in human studies. Unfortunately, these techniques still suffer from a lack of dedicated and standardized neuroimaging tools, namely brain templates and descriptive atlases. Here, we present two rat brain MRI templates and their associated gray matter, white matter and cerebrospinal fluid probability maps, generated from ex vivo [Formula: see text]-weighted images (90 µm isotropic resolution) and in vivo T2-weighted images (150 µm isotropic resolution). In association with these templates, we also provide both anatomical and functional 3D brain atlases, respectively derived from the merging of the Waxholm and Tohoku atlases, and analysis of resting-state functional MRI data. Finally, we propose a complete set of preclinical MRI reference resources, compatible with common neuroimaging software, for the investigation of rat brain structures and functions.por
dc.description.sponsorshipThis work is part of the SIGMA project with the reference FCT-ANR/NEU-OSD/0258/2012, co-financed by the French public funding agency ANR (Agence Nationale pour laRecherche, APP Blanc International II 2012), the Portuguese FCT (Fundação para aCiência e Tecnologia) and the Portuguese North Regional Operational Program (ON.2—O Novo Norte) under the National Strategic Reference Framework (QREN), through theEuropean Regional Development Fund (FEDER) as well as the Projecto Estratégico co-funded by FCT (PEst-C/SAU/LA0026-/2013) and the European Regional DevelopmentFund COMPETE (FCOMP-01-0124-FEDER-037298). D.A.B. and A.N. were funded bygrants from FCT-ANR/NEU-OSD/0258/2012. R.M. was supported by the FCT fellow-ship grant with the reference PDE/BDE/113604/2015 from the PhDiHES program. A.C.was supported by a grant from the foundation NRJ. P.M. was funded by FundaçãoCalouste Gulbenkian (Portugal;‘Better mental health during ageing based on temporalprediction of individual brain ageing trajectories TEMPO’) with Grant Number P-139977. France Life Imaging is acknowledged for its support in funding the NeuroSpinplatform of preclinical MRI scanners. The authors also acknowledge and thank EdwardGanz, MD, for proof reading our work.por
dc.distributioninternationalpor
dc.identifier.doi10.1038/s41467-019-13575-7por
dc.identifier.eissn2041-1723
dc.identifier.issn2041-1723por
dc.identifier.pmid31836716por
dc.identifier.urihttps://hdl.handle.net/1822/67212
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherNature Researchpor
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/127675/PTpor
dc.relationPEst-C/SAU/LA0026-/2013por
dc.relation.publisherversionhttps://www.nature.com/articles/s41467-019-13575-7por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectAnimalspor
dc.subjectBrain Mappingpor
dc.subjectCerebrospinal Fluidpor
dc.subjectGray Matterpor
dc.subjectImaging, Three-Dimensionalpor
dc.subjectMalepor
dc.subjectModels, Animalpor
dc.subjectRatspor
dc.subjectRats, Wistarpor
dc.subjectSoftwarepor
dc.subjectWhite Matterpor
dc.subjectAtlases as Topicpor
dc.subjectMagnetic Resonance Imagingpor
dc.subject.fosCiências Médicas::Ciências da Saúdepor
dc.subject.wosScience & Technologypor
dc.titleThe SIGMA rat brain templates and atlases for multimodal MRI data analysis and visualizationpor
dc.typearticlepor
dspace.entity.typePublicationen
oaire.citationIssue1por
oaire.citationVolume10por
sdum.journalNature Communicationspor

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