Meyhoefer, Inga; Sprenger, Andreas; Derad, David; Grotegerd, Dominik; Leenings, Ramona; Leehr, Elisabeth J; Breuer, Fabian; Surmann, Marian; Rolfes, Karen; Arolt, Volker; Romer, Georg; Lappe, Markus; Rehder, Johanna; Koutsouleris, Nikolaos; Borgwardt, Stefan; Schultze-Lutter, Frauke; Meisenzahl, Eva; Kircher, Tilo T J; Keedy, Sarah S; Bishop, Jeffrey R; ... (2024). Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis. Scientific Reports, 14(13859) Nature Publishing Group 10.1038/s41598-024-64487-6
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Smooth pursuit eye movements are considered a well-established and quantifiable biomarker of sensorimotor function in psychosis research. Identifying psychotic syndromes on an individual level based on neurobiological markers is limited by heterogeneity and requires comprehensive external validation to avoid overestimation of prediction models. Here, we studied quantifiable sensorimotor measures derived from smooth pursuit eye movements in a large sample of psychosis probands (N = 674) and healthy controls (N = 305) using multivariate pattern analysis. Balanced accuracies of 64% for the prediction of psychosis status are in line with recent results from other large heterogenous psychiatric samples. They are confirmed by external validation in independent large samples including probands with (1) psychosis (N = 727) versus healthy controls (N = 292), (2) psychotic (N = 49) and non-psychotic bipolar disorder (N = 36), and (3) non-psychotic affective disorders (N = 119) and psychosis (N = 51) yielding accuracies of 65%, 66% and 58%, respectively, albeit slightly different psychosis syndromes. Our findings make a significant contribution to the identification of biologically defined profiles of heterogeneous psychosis syndromes on an individual level underlining the impact of sensorimotor dysfunction in psychosis.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy > Research Division 04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy |
UniBE Contributor: |
Schultze-Lutter, Frauke |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2045-2322 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
19 Jun 2024 08:58 |
Last Modified: |
19 Jun 2024 09:07 |
Publisher DOI: |
10.1038/s41598-024-64487-6 |
PubMed ID: |
38879556 |
Uncontrolled Keywords: |
Bipolar Depression Individual prediction Machine learning Psychosis Smooth pursuit eye movements |
BORIS DOI: |
10.48350/197863 |
URI: |
https://boris.unibe.ch/id/eprint/197863 |
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