TY - JOUR
T1 - Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis
AU - Meyhoefer, Inga
AU - Sprenger, Andreas
AU - Derad, David
AU - Grotegerd, Dominik
AU - Leenings, Ramona
AU - Leehr, Elisabeth J.
AU - Breuer, Fabian
AU - Surmann, Marian
AU - Rolfes, Karen
AU - Arolt, Volker
AU - Romer, Georg
AU - Lappe, Markus
AU - Rehder, Johanna
AU - Koutsouleris, Nikolaos
AU - Borgwardt, Stefan
AU - Schultze-Lutter, Frauke
AU - Meisenzahl, Eva
AU - Kircher, Tilo T.J.
AU - Keedy, Sarah S.
AU - Bishop, Jeffrey R.
AU - Ivleva, Elena I.
AU - McDowell, Jennifer E.
AU - Reilly, James L.
AU - Hill, Scot Kristian
AU - Pearlson, Godfrey D.
AU - Tamminga, Carol A.
AU - Keshavan, Matcheri S.
AU - Gershon, Elliot S.
AU - Clementz, Brett A.
AU - Sweeney, John A.
AU - Hahn, Tim
AU - Dannlowski, Udo
AU - Lencer, Rebekka
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85196046526&partnerID=8YFLogxK
U2 - 10.1038/s41598-024-64487-6
DO - 10.1038/s41598-024-64487-6
M3 - Journal articles
C2 - 38879556
AN - SCOPUS:85196046526
SN - 2045-2322
VL - 14
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 13859
ER -