A1 Refereed original research article in a scientific journal
The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis
Authors: Schwarzer Johanna M., Meyhoefer Inga, Antonucci Linda A., Kambeitz-Ilankovic Lana, Surmann Marian, Bienek Olga, Romer Georg, Dannlowski Udo, Hahn Tim, Korda Alexandra, Dwyer Dominic B., Ruef Anne, Haas Shalaila S., Rosen Marlene, Lichtenstein Theresa, Ruhrmann Stephan, Kambeitz Joseph, Salokangas Raimo K. R., Pantelis Christos, Schultze-Lutter Frauke, Meisenzahl Eva, Brambilla Paolo, Bertolino Alessandro, Borgwardt Stefan, Upthegrove Rachel, Koutsouleris Nikolaos, Lencer Rebekka; the PRONIA Consortium
Publisher: SPRINGERNATURE
Publication year: 2022
Journal: Neuropsychopharmacology
Journal name in source: NEUROPSYCHOPHARMACOLOGY
Journal acronym: NEUROPSYCHOPHARMACOL
Number of pages: 10
ISSN: 0893-133X
eISSN: 1740-634X
DOI: https://doi.org/10.1038/s41386-022-01385-3
Web address : https://www.nature.com/articles/s41386-022-01385-3
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176277827
Subtle subjective visual dysfunctions (VisDys) are reported by about 50% of patients with schizophrenia and are suggested to predict psychosis states. Deeper insight into VisDys, particularly in early psychosis states, could foster the understanding of basic disease mechanisms mediating susceptibility to psychosis, and thereby inform preventive interventions. We systematically investigated the relationship between VisDys and core clinical measures across three early phase psychiatric conditions. Second, we used a novel multivariate pattern analysis approach to predict VisDys by resting-state functional connectivity within relevant brain systems. VisDys assessed with the Schizophrenia Proneness Instrument (SPI-A), clinical measures, and resting-state fMRI data were examined in recent-onset psychosis (ROP, n = 147), clinical high-risk states of psychosis (CHR, n = 143), recent-onset depression (ROD, n = 151), and healthy controls (HC, n = 280). Our multivariate pattern analysis approach used pairwise functional connectivity within occipital (ON) and frontoparietal (FPN) networks implicated in visual information processing to predict VisDys. VisDys were reported more often in ROP (50.34%), and CHR (55.94%) than in ROD (16.56%), and HC (4.28%). Higher severity of VisDys was associated with less functional remission in both CHR and ROP, and, in CHR specifically, lower quality of life (Qol), higher depressiveness, and more severe impairment of visuospatial constructability. ON functional connectivity predicted presence of VisDys in ROP (balanced accuracy 60.17%, p = 0.0001) and CHR (67.38%, p = 0.029), while in the combined ROP + CHR sample VisDys were predicted by FPN (61.11%, p = 0.006). These large-sample study findings suggest that VisDys are clinically highly relevant not only in ROP but especially in CHR, being closely related to aspects of functional outcome, depressiveness, and Qol. Findings from multivariate pattern analysis support a model of functional integrity within ON and FPN driving the VisDys phenomenon and being implicated in core disease mechanisms of early psychosis states.
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