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Neural Correlates of Smooth Pursuit Eye Movements in Schizotypy and Recent Onset Psychosis
A Multivariate Pattern Classification Approach

dc.contributor.authorSchröder, Rebekka
dc.contributor.authorFaiola, Eliana
dc.contributor.authorUrquijo, Maria Fernanda
dc.contributor.authorBey, Katharina
dc.contributor.authorMeyhöfer, Inga
dc.contributor.authorSteffens, Maria
dc.contributor.authorKasparbauer, Anna-Maria
dc.contributor.authorRuef, Anne
dc.contributor.authorHögenauer, Hanna
dc.contributor.authorHurlemann, René
dc.contributor.authorKambeitz, Joseph
dc.contributor.authorPhilipsen, Alexandra
dc.contributor.authorWagner, Michael
dc.contributor.authorKoutsouleris, Nikolaos
dc.contributor.authorEttinger, Ulrich
dc.date.accessioned2023-04-28T12:17:58Z
dc.date.available2023-04-28T12:17:58Z
dc.date.issued03.06.2022
dc.identifier.urihttps://hdl.handle.net/20.500.11811/10807
dc.description.abstractSchizotypy refers to a set of personality traits that bear resemblance, at subclinical level, to psychosis. Despite evidence of similarity at multiple levels of analysis, direct comparisons of schizotypy and clinical psychotic disorders are rare. Therefore, we used functional magnetic resonance imaging (fMRI) to examine the neural correlates and task-based functional connectivity (psychophysiological interactions; PPI) of smooth pursuit eye movements (SPEM) in patients with recent onset psychosis (ROP; n = 34), participants with high levels of negative (HNS; n = 46) or positive (HPS; n = 41) schizotypal traits, and low-schizotypy control participants (LS; n = 61) using machine-learning. Despite strong previous evidence that SPEM is a highly reliable marker of psychosis, patients and controls could not be significantly distinguished based on SPEM performance or blood oxygen level dependent (BOLD) signal during SPEM. Classification was, however, significant for the right frontal eye field (FEF) seed region in the PPI analyses but not for seed regions in other key areas of the SPEM network. Applying the right FEF classifier to the schizotypal samples yielded decision scores between the LS and ROP groups, suggesting similarities and dissimilarities of the HNS and HPS samples with the LS and ROP groups. The very small difference between groups is inconsistent with previous studies that showed significant differences between patients with ROP and controls in both SPEM performance and underlying neural mechanisms with large effect sizes. As the current study had sufficient power to detect such differences, other reasons are discussed.de
dc.format.extent13
dc.language.isoeng
dc.rightsNamensnennung-Nicht kommerziell 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectmachine-learning
dc.subjectschizophrenia spectrum
dc.subjecteye movements
dc.subjectfunctional magnetic resonance imaging
dc.subject.ddc150 Psychologie
dc.subject.ddc610 Medizin, Gesundheit
dc.titleNeural Correlates of Smooth Pursuit Eye Movements in Schizotypy and Recent Onset Psychosis
dc.title.alternativeA Multivariate Pattern Classification Approach
dc.typeWissenschaftlicher Artikel
dc.publisher.nameOxford University Press
dc.rights.accessRightsopenAccess
dcterms.bibliographicCitation.volume2022, vol. 3
dcterms.bibliographicCitation.issueiss. 1
dcterms.bibliographicCitation.pagestart1
dcterms.bibliographicCitation.pageend13
dc.relation.doihttps://doi.org/10.1093/schizbullopen/sgac034
dcterms.bibliographicCitation.journaltitleSchizophrenia Bulletin Open
ulbbn.pubtypeZweitveröffentlichung
dc.versionpublishedVersion
ulbbn.sponsorship.oaUnifundOA-Förderung Universität Bonn


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Namensnennung-Nicht kommerziell 4.0 International