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Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10654-015-0105-7
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dc.titleThe Rotterdam Scan Study: design update 2016 and main findings
dc.contributor.authorIkram, M.A
dc.contributor.authorvan der Lugt, A
dc.contributor.authorNiessen, W.J
dc.contributor.authorKoudstaal, P.J
dc.contributor.authorKrestin, G.P
dc.contributor.authorHofman, A
dc.contributor.authorBos, D
dc.contributor.authorVernooij, M.W
dc.date.accessioned2020-10-23T08:08:04Z
dc.date.available2020-10-23T08:08:04Z
dc.date.issued2015
dc.identifier.citationIkram, M.A, van der Lugt, A, Niessen, W.J, Koudstaal, P.J, Krestin, G.P, Hofman, A, Bos, D, Vernooij, M.W (2015). The Rotterdam Scan Study: design update 2016 and main findings. European Journal of Epidemiology 30 (12) : 1299-1315. ScholarBank@NUS Repository. https://doi.org/10.1007/s10654-015-0105-7
dc.identifier.issn0393-2990
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/179636
dc.description.abstractImaging plays an essential role in research on neurological diseases in the elderly. The Rotterdam Scan Study was initiated as part of the ongoing Rotterdam Study with the aim to elucidate the causes of neurological disease by performing imaging of the brain in a prospective population-based setting. Initially, in 1995 and 1999, random subsamples of participants from the Rotterdam Study underwent neuroimaging, whereas from 2005 onwards MRI has been implemented into the core protocol of the Rotterdam Study. In this paper, we discuss the background and rationale of the Rotterdam Scan Study. Moreover, we describe the imaging protocol, image post-processing techniques, and the main findings to date. Finally, we provide recommendations for future research, which will also be topics of investigation in the Rotterdam Scan Study. © 2015, The Author(s).
dc.publisherSpringer Netherlands
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectArticle
dc.subjectbrain blood flow
dc.subjectbrain tissue
dc.subjectcerebrovascular disease
dc.subjectcohort analysis
dc.subjectconnectome
dc.subjectdiffusion tensor imaging
dc.subjectdisease classification
dc.subjectfunctional magnetic resonance imaging
dc.subjectgenetics
dc.subjecthuman
dc.subjectimage analysis
dc.subjectimage processing
dc.subjectimage quality
dc.subjectincidental finding
dc.subjectneuroimaging
dc.subjectneurologic disease
dc.subjectnuclear magnetic resonance imaging
dc.subjectpractice guideline
dc.subjectresting state network
dc.subjectstructure analysis
dc.subjectwhite matter
dc.subjectwhite matter lesion
dc.subjectaged
dc.subjectaging
dc.subjectbrain
dc.subjectbrain artery
dc.subjectbrain mapping
dc.subjectchronic disease
dc.subjectcomputer assisted diagnosis
dc.subjectfemale
dc.subjecthealth survey
dc.subjecthuman
dc.subjectimage processing
dc.subjectlongitudinal study
dc.subjectmale
dc.subjectmiddle aged
dc.subjectNervous System Diseases
dc.subjectNetherlands
dc.subjectneuroimaging
dc.subjectnuclear magnetic resonance imaging
dc.subjectpathology
dc.subjectpathophysiology
dc.subjectprocedures
dc.subjectprospective study
dc.subjectrisk factor
dc.subjectvascularization
dc.subjectvery elderly
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectAging
dc.subjectBrain
dc.subjectBrain Mapping
dc.subjectCerebral Arteries
dc.subjectChronic Disease
dc.subjectFemale
dc.subjectHumans
dc.subjectImage Interpretation, Computer-Assisted
dc.subjectImage Processing, Computer-Assisted
dc.subjectLongitudinal Studies
dc.subjectMagnetic Resonance Imaging
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectNervous System Diseases
dc.subjectNetherlands
dc.subjectNeuroimaging
dc.subjectPopulation Surveillance
dc.subjectProspective Studies
dc.subjectRisk Factors
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1007/s10654-015-0105-7
dc.description.sourcetitleEuropean Journal of Epidemiology
dc.description.volume30
dc.description.issue12
dc.description.page1299-1315
dc.published.statePublished
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