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Correlates and Determinants of Eye Movements Across the Adult Lifespan

dc.contributor.advisorBreteler, Monique M. B.
dc.contributor.authorCoors, Annabell
dc.date.accessioned2022-08-29T13:25:46Z
dc.date.available2022-08-29T13:25:46Z
dc.date.issued29.08.2022
dc.identifier.urihttps://hdl.handle.net/20.500.11811/10187
dc.description.abstractEye movements reflect a multitude of perceptual, cognitive and motor processes. However, it is unknown what added value an oculomotor test battery has to the study protocol of cohort studies on aging and age-related diseases. To answer this question, a better understanding of the determinants and correlates of eye movements across the adult life-span is required. I based my research on data from the Rhineland Study, which is a population-based cohort study in Bonn, Germany. The oculomotor battery in the Rhineland Study includes fixation, smooth pursuit, prosaccade and antisaccade tasks. To learn the extent to which eye movement measures can serve as markers for biological aging processes, I first examined age-related variability and sex differences in eye movement performance. The analyses revealed that age was associated with all but five antisaccade measures and blink rate during fixation. Sex differences in eye movement performance were present only in smooth pursuit velocity gain and blink rate during fixation, but they were of small size. Eye movements are also known to be altered in several diseases, including schizophrenia and Alzheimer’s disease (AD). Since both aforementioned diseases represent polygenic disorders, genetic liability can be quantified using genetic risk scores. First, I investigated whether I could provide genetic evidence for antisaccades and smooth pursuit eye movements as endophenotypes for schizophrenia by associating genetic risk scores for schizophrenia with performance in the smooth pursuit and antisaccade tasks. I found that the genetic risk scores for schizophrenia were associated with antisaccade performance, supporting the endophenotype status of antisaccades for schizophrenia. I then tested which, if any, classical cognitive tasks or eye movement outcomes are sensitive to genetic susceptibility for AD. I found that Corsi forward performance and the probability of correcting antisaccade errors may be the best candidates to capture genetic liability for AD across the adult lifespan. Lastly, I investigated whether interindividual differences in cognitive performance are reflected in the mean pupil size during a fixation task. Pupil size was correlated with interindividual differences in speed of processing and response generation, but not with working memory or global cognition. On the basis of the overall work, I conclude that eye movement tasks add value to population-based studies on aging and age-related diseases as oculomotor data are language-independent and culture-free assessments of normal age-related and pathophysiological changes in brain activity.en
dc.language.isoeng
dc.rightsNamensnennung 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBiomarker
dc.subjectNeurodegenerative Erkrankungen
dc.subjectAugenbewegungen
dc.subjectEpidemiologie
dc.subjectAltern
dc.subjectGeschlechtsunterschiede
dc.subjectSchizophrenie
dc.subjectAlzheimer
dc.subjectDemenz
dc.subjectgenetische Risikoscores
dc.subjectGenetik
dc.subjectEndophenotyp
dc.subjectPupillometrie
dc.subjectinterindividuelle Unterschiede
dc.subjectKognition
dc.subjectVerarbeitungsgeschwindikgeit
dc.subjectGedächtnis
dc.subjectIntelligenz
dc.subjectAntisakkaden
dc.subjectProsakkaden
dc.subjectSmooth Pursuit
dc.subjectFixationen
dc.subjectTestbatterie
dc.subjectKohortenstudie
dc.subjectRheinland Studie
dc.subjectNeurodegenerative Diseases
dc.subjectEye movements
dc.subjectEpidemiology
dc.subjectaging
dc.subjectsex differences
dc.subjectschizophrenia
dc.subjectAlzheimer's disease
dc.subjectdementia
dc.subjectgenetic risk scores
dc.subjectgenetics
dc.subjectendophenotype
dc.subjectpupillometry
dc.subjectinterindividual differences
dc.subjectcognition
dc.subjectprocessing speed
dc.subjectmemory
dc.subjectintelligence
dc.subjectantisaccades
dc.subjectprosaccades
dc.subjectfixations
dc.subjecttest battery
dc.subjectcohort study
dc.subjectRhineland Study
dc.subject.ddc610 Medizin, Gesundheit
dc.titleCorrelates and Determinants of Eye Movements Across the Adult Lifespan
dc.typeDissertation oder Habilitation
dc.publisher.nameUniversitäts- und Landesbibliothek Bonn
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.identifier.urnhttps://nbn-resolving.org/urn:nbn:de:hbz:5-67729
dc.relation.doihttps://doi.org/10.1016/j.visres.2020.10.004
dc.relation.doihttps://doi.org/10.1017/S0033291721003251
dc.relation.doihttps://doi.org/10.1111/psyp.14089
dc.relation.doihttps://doi.org/10.1038/s41398-022-02093-8
ulbbn.pubtypeErstveröffentlichung
ulbbnediss.affiliation.nameRheinische Friedrich-Wilhelms-Universität Bonn
ulbbnediss.affiliation.locationBonn
ulbbnediss.thesis.levelDissertation
ulbbnediss.dissID6772
ulbbnediss.date.accepted21.06.2022
ulbbnediss.instituteAngegliederte Institute, verbundene wissenschaftliche Einrichtungen : Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)
ulbbnediss.fakultaetMedizinische Fakultät
dc.contributor.coRefereeEttinger, Ulrich
ulbbnediss.contributor.orcidhttps://orcid.org/0000-0001-9000-6390
ulbbnediss.contributor.gnd1270218611


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