Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis

Meyhoefer, Inga; Sprenger, Andreas; Derad, David; Grotegerd,, Dominik; Ramona Leenings; 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.; Gershon, Elliot S.

2024

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Abstract

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.

Details

Title

Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis

Author

Meyhoefer, Inga : University of Muenster
Sprenger, Andreas : University of Luebeck
Derad, David : University of Luebeck
Grotegerd,, Dominik : University of Muenster
Ramona Leenings : University of Muenster
Leehr, Elisabeth J. : University of Muenster
Breuer, Fabian : University of Muenster
Surmann, Marian : University of Muenster
Rolfes, Karen : University of Muenster
Arolt, Volker : University of Muenster
Romer, Georg : University of Muenster
Lappe, Markus : University of Muenster
Rehder, Johanna : University of Muenster
Koutsouleris, Nikolaos : Ludwig-Maximilian University Munich
Borgwardt, Stefan : University of Luebeck
Schultze-Lutter, Frauke : Heinrich-Heine University
Meisenzahl, Eva : Heinrich-Heine University
Kircher, Tilo T. J. : Philipps-University Marburg
Keedy, Sarah S. : University of Chicago
Bishop, Jeffrey R. : University of Minnesota
Gershon, Elliot S. : University of Chicago

Content Type

Article

Published in

Scientific Reports

Keywords

Smooth pursuit eye movements; Machine learning; Individual prediction; Psychosis; Bipolar; Depression

Identifier(s)

DOI: https://doi.org/10.1038/s41598-024-64487-6

Data availability statement

The data can be provided by Rebekka Lencer pending scientific review and a completed material transfer agreement. Requests for the data should be submitted to: Rebekka Lencer.

Funding Information

Projekt DEAL
National Institute of Mental Health, MH103366
National Institute of Mental Health, MH096900
National Institute of Mental Health, MH103368
National Institute of Mental Health, MH077851
National Institute of Mental Health, MH096913
National Institute of Mental Health, MH078113
National Institute of Mental Health, MH096942
National Institute of Mental Health, MH077945
National Institute of Mental Health, MH096957
National Institute of Mental Health, MH077852
National Institute of Mental Health, MH077862
German Research Council (Deutsche Forschungsgemeinschaft, DFG), KI 588/14-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), KI 588/14-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), KR 3822/7-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), KR 3822/7-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), NE 2254/1-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), DA 1151/5-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), DA 1151/5-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), SCHW 559/14-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), SCHW 559/14–2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), WO 1732/4-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), WO 1732/4-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), AL 1145/5-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), CU 43/9-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), GA 545/7-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), RI 908/11-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), WI 3439/3-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), NO 246/10-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), DE 1614/3-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), HA 7070/2-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), JA 1890/7-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), JA 1890/7-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), MU 1315/8-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), RE 737/20-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), PF 784/1-2
German Research Council (Deutsche Forschungsgemeinschaft, DFG), KI 588/17-1
German Research Council (Deutsche Forschungsgemeinschaft, DFG), CU 43/9-1
EU-FP7-HEALTH, 602152
University of Münster, Innovative Medical Research, ME 1 2 18 05
German Research Council (Deutsche Forschungsgemeinschaft, DFG), LE 1122/7-1

Publication Date

2024-06-15

Language

English

Copyright Statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Licensing

CC BY

Notes

Due to the large number of authors, only the first 20 and the University of Chicago authors are included on the above author list. Please download the article for the complete list of authors.

Record Appears in

Biological Sciences Division > Psychiatry and Behavioral Neuroscience
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Record Created

2024-06-21

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