Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state.

Deeper understanding of Subtle Visual Dysfunctions (VisDys) in the early stage of mental illness and their neurobiological underpinnings, as reflected by microstructural brain texture features, could advance our understanding of the underlying disease perceptual mechanisms that mediate susceptibility to psychosis. In this study, we aim a) to investigate the utility of brain texture features for the prediction of VisDys in recent onset psychosis (ROP) and clinical high-risk syndromes for psychosis (CHR-P), respectively, b) to test prediction models established in ROP and CHR-P in an independent validation sample with recent onset depression (ROD) diagnoses and c) to test for symptom expression related brain features associated with VisDys. sMRI were acquired in a training sample including 128 ROP (67 patients with VisDys), 134 CHR-P (71 patients with VisDys). Independent validation sets included 46 ROP (19 with VisDys), 124 CHR-P (68 patients with VisDys) and a sample of 256 ROD (50 patients with VisDys). Both classification schemas in ROP and CHR-P presented balanced accuracy >77% and >64% in the independent validation samples of ROP, CHR-P, and ROD, respectively. Statistically significant associations were identified with scores from the Positive and Negative Symptom Scale, psychosocial functioning, and the Scale of Negative Symptoms.

Authors

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2026-02-12
DOI
https://doi.org/10.48620/94623
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state.

Inga Meyhöfer, Georg Romer, Stephan Ruhrmann, Αλεξάνδρα Κορδά et al.
Open Access CRIS of the University of Bern
Schizophrenia research and treatment
article

Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state.

Inga Meyhöfer, Georg Romer, Stephan Ruhrmann, Αλεξάνδρα Κορδά, Shalaila S. Haas, Andreas Sprenger, Marlene L. Rosen, Rebekka Lencer, C. Bonivento, Lana Kambeitz-Ilankovic, Christos Davatzikos, Udo Dannlowski, Stefan Borgwardt, Rachel Upthegrove, Theresa Lichtenstein, Raimo K R Salokangas, Eva Meisenzahl, Joseph Kambeitz, Christina Andreou, Alessandro Bertolino, Christos Pantelis, Paolo Brambilla, Nikolaos Koutsouleris, Frauke Schultze-Lutter
article en

Abstract

Deeper understanding of Subtle Visual Dysfunctions (VisDys) in the early stage of mental illness and their neurobiological underpinnings, as reflected by microstructural brain texture features, could advance our understanding of the underlying disease perceptual mechanisms that mediate susceptibility to psychosis. In this study, we aim a) to investigate the utility of brain texture features for the prediction of VisDys in recent onset psychosis (ROP) and clinical high-risk syndromes for psychosis (CHR-P), respectively, b) to test prediction models established in ROP and CHR-P in an independent validation sample with recent onset depression (ROD) diagnoses and c) to test for symptom expression related brain features associated with VisDys. sMRI were acquired in a training sample including 128 ROP (67 patients with VisDys), 134 CHR-P (71 patients with VisDys). Independent validation sets included 46 ROP (19 with VisDys), 124 CHR-P (68 patients with VisDys) and a sample of 256 ROD (50 patients with VisDys). Both classification schemas in ROP and CHR-P presented balanced accuracy >77% and >64% in the independent validation samples of ROP, CHR-P, and ROD, respectively. Statistically significant associations were identified with scores from the Positive and Negative Symptom Scale, psychosocial functioning, and the Scale of Negative Symptoms.

Open Access CRIS of the University of Bern
University College Copenhagen (DK)
Good health and well-being
Openalex Percentile: Top 57%
Schizophrenia research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.