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

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

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BORIS DOI
10.48350/197863
Date of Publication
June 15, 2024
Publication Type
Article
Division/Institute

Forschungsabteilung K...

Contributor
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
Forschungsabteilung Kinder- und Jugendpsychiatrie
Universitätsklinik für Kinder- und Jugendpsychiatrie und Psychotherapie (KJP)
Meisenzahl, Eva
Kircher, Tilo T J
Keedy, Sarah S
Bishop, Jeffrey R
Ivleva, Elena I
McDowell, Jennifer E
Reilly, James L
Hill, Scot Kristian
Pearlson, Godfrey D
Tamminga, Carol A
Keshavan, Matcheri S
Gershon, Elliot S
Clementz, Brett A
Sweeney, John A
Hahn, Tim
Dannlowski, Udo
Lencer, Rebekka
Subject(s)

600 - Technology::610...

Series
Scientific Reports
ISSN or ISBN (if monograph)
2045-2322
Publisher
Nature Publishing Group
Language
English
Publisher DOI
10.1038/s41598-024-64487-6
PubMed ID
38879556
Uncontrolled Keywords

Bipolar Depression In...

Description
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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/178198
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s41598-024-64487-6.pdftextAdobe PDF1.09 MBpublishedOpen
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