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Retinal biomarkers of Alzheimer’s disease: insights from transgenic mouse models

2017Conference object Open access
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dc.contributor.authorBernardes, Rui
dc.contributor.authorSilva, Gilberto
dc.contributor.authorChiquita, Samuel
dc.contributor.authorSerranho, Pedro
dc.contributor.authorAmbrósio, António F.
dc.date.accessioned2018-02-09T14:23:28Z
dc.date.available2018-07-31T00:30:20Z
dc.date.issued2017
dc.description.abstractIn this paper, we use the retina as a window into the central nervous system and in particular to assess changes in the retinal tissue associated with the Alzheimer’s disease. We imaged the retina of wild-type (WT) and transgenic mouse model (TMM) of Alzheimer’s disease with optical coherence tomography and classify retinas into the WT and TMM groups using support vector machines with the radial basis function kernel. Predictions reached an accuracy over 80% at the age of 4 months and over 90% at the age of 8 months. Texture analysis of computed fundus reference images suggests a more heterogeneous organization of the retina in transgenic mice at the age of 8 months in comparison to controls.pt_PT
dc.description.sponsorshipThis study was supported by the Neuroscience Mantero Belard Prize 2015 (Santa Casa da Misericórdia)(MB-1049-2015), by The Portuguese Foundation for Science and Technology (PEst-UID/NEU/04539/2013), by FEDER-COMPETE (POCI-01-0145-FEDER-007440) and Centro 2020 Regional Operational Programme (CENTRO-01-0145-FEDER-000008: BrainHealth 2020).pt_PT
dc.description.sponsorshipFEDER-COMPETE (POCI-01-0145-FEDER-007440)
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-59876-5_60pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/7102
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectAlzheimer’s diseasept_PT
dc.subject3xTg mouse modelpt_PT
dc.subjectOptical coherence tomographypt_PT
dc.subjectRetina classificationpt_PT
dc.titleRetinal biomarkers of Alzheimer’s disease: insights from transgenic mouse modelspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FNEU%2F04539%2F2013/PT
oaire.citation.endPage550pt_PT
oaire.citation.startPage541pt_PT
oaire.citation.titleICIAR 2017. International Conference Image Analysis and Recognition: Image Analysis and Recognitionpt_PT
oaire.citation.volume10317pt_PT
oaire.fundingStream5876
person.familyNameDias Cortesão dos Santos Bernardes
person.familyNameSerranho
person.familyNameAmbrósio
person.givenNameRui Manuel
person.givenNamePedro
person.givenNameAntonio F
person.identifierM-4231-2013
person.identifier171132
person.identifier.ciencia-idDB19-B18E-690C
person.identifier.ciencia-id031F-5D62-E6EC
person.identifier.ciencia-id4E11-2573-20FE
person.identifier.orcid0000-0002-6677-2754
person.identifier.orcid0000-0003-2176-3923
person.identifier.orcid0000-0002-0477-1641
person.identifier.scopus-author-id7004634386
person.identifier.scopus-author-id7006302528
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofct12 meses de embargopt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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