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Shedding light on early central nervous system changes for Alzheimer’s disease through the retina: an animal study

2022Journal article Restricted access
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dc.contributor.authorBernardes, Rui
dc.contributor.authorFerreira, Hugo
dc.contributor.authorGuimarães, Pedro
dc.contributor.authorSerranho, Pedro
dc.date.accessioned2023-01-03T15:35:08Z
dc.date.available2023-01-03T15:35:08Z
dc.date.issued2022
dc.description.abstractThe World Health Organization (WHO) 2015 projections estimated 75.6 million people living with dementia in 2030, an update from the 66 million estimated in 2013. These figures account for all types of dementia, but Alzheimer’s disease stands out as the most common estimated type, representing 60% to 80% of the cases. An increasing number of research groups adopted the approach of using the retina as a window to the brain. Besides being the visible part of the central nervous system, the retina is readily available through non-invasive imaging techniques such as optical coherence tomography (OCT). Moreover, cumulative evidence indicates that neurodegenerative diseases can also affect the retina. In the work reported herein, we imaged the retina of wild-type and the triple-transgenic mouse model of Alzheimer’s disease, at the ages of one-, two-, three-, four-, eight-, twelve- and sixteen-months-old, by OCT and segmented gathered data using a developed convolutional neural network into distinct layers. Group differences through texture analysis of computed fundus images for five layers of the retina, normative retinal thickness data throughout the observation period of the ageing mice, and findings related to the estimation of the ageing effect of the human genes present in the transgenic group, as well as the classification of individual fundus images through convolutional neural networks, will be presented and thoroughly discussed in the Special Session on ”New Developments in Imaging for Ocular and Neurodegenerative Disorders”.pt_PT
dc.description.sponsorshipThis study was suppor ted by The Portuguese Foundation for Science and Technology (FCT) through PTDC/EMD-EMD/28039/2017, UIDB/04950/2020, Pest-UID/NEU/04539/2019, and by FEDERCOMPETE through POCI-01-0145-FEDER-028039.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.5220/0011125600003209pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/12926
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCoimbra Institute for Biomedical Imaging and Translational Research
dc.relationCNC. IBILI
dc.subjectOptical coherence tomographypt_PT
dc.subjectRetinapt_PT
dc.subjectBiomarkerspt_PT
dc.subjectTexturept_PT
dc.subjectConvolutional neural networkpt_PT
dc.subjectAlzheimer’s diseasept_PT
dc.subjectMouse modelpt_PT
dc.subjectDiagnosispt_PT
dc.titleShedding light on early central nervous system changes for Alzheimer’s disease through the retina: an animal studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCoimbra Institute for Biomedical Imaging and Translational Research
oaire.awardTitleCNC. IBILI
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEMD-EMD%2F28039%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04950%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FNEU%2F04539%2F2019/PT
oaire.citation.endPage258pt_PT
oaire.citation.startPage247pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameDias Cortesão dos Santos Bernardes
person.familyNameFerreira
person.familyNameGuimarães
person.familyNameSerranho
person.givenNameRui Manuel
person.givenNameHugo Rafael
person.givenNamePedro
person.givenNamePedro
person.identifierM-4231-2013
person.identifier1587486
person.identifier.ciencia-idDB19-B18E-690C
person.identifier.ciencia-idC012-547B-1F6A
person.identifier.ciencia-id031F-5D62-E6EC
person.identifier.orcid0000-0002-6677-2754
person.identifier.orcid0000-0003-1199-8489
person.identifier.orcid0000-0002-9465-4413
person.identifier.orcid0000-0003-2176-3923
person.identifier.scopus-author-id7004634386
person.identifier.scopus-author-id56647722300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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