Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia

These patterns of results show that different SCN computation approaches capture different aspects of the disease. While REF-SCNs contain valuable information for discriminating schizophrenia from healthy control individuals, KLS-SCNs may capture more nuanced symptom-level characteristics similar to those captured by PCA of regional GMV.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-06-09
DOI
https://doi.org/10.3389/fpsyt.2025.1570797
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43

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article

Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia

Alessandro Bertolino, Stephan Ruhrmann, Christos Pantelis, Marlene Rosen et al.
1 citations
Frontiers in Psychiatry
Functional Brain Connectivity Studies
1.43
article

Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia

Alessandro Bertolino, Stephan Ruhrmann, Christos Pantelis, Marlene Rosen, Lana Kambeitz‐Ilankovic, Dominic Dwyer, Anne Ruef, Theresa Lichtenstein, Clara Vetter, Anita Riecher‐Rössler, Katharine Chisholm, Peter Falkai, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Linda A. Antonucci, Stefan Borgwardt, Joseph Kambeitz, Nikolaos Koutsouleris, Rebekka Lencer, Stephen J. Wood, Paolo Brambilla, Eva Meisenzahl, A.E. Bender, Max Montembeault
article en
1 citations

Abstract

These patterns of results show that different SCN computation approaches capture different aspects of the disease. While REF-SCNs contain valuable information for discriminating schizophrenia from healthy control individuals, KLS-SCNs may capture more nuanced symptom-level characteristics similar to those captured by PCA of regional GMV.

Frontiers in PsychiatryVol. 16
Helmholtz Association of German Research Centres (DE), The Royal Melbourne Hospital (AU), University of Turku (FI), University of Sussex (GB), The University of Melbourne (AU), King's College London (GB), University of Basel (CH), University of Milan (IT), Douglas Mental Health University Institute (CA), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), University of Oxford (GB), Orygen Youth Health (AU), Max Planck Institute of Psychiatry (DE), University Hospital Cologne (DE), Heinrich Heine University Düsseldorf (DE), University of Bari Aldo Moro (IT), University of Birmingham (GB), Ludwig-Maximilians-Universität München (DE), University of Lübeck (DE)
Wellcome Trust, European Commission, Bundesministerium für Bildung und Forschung, Else Kröner-Fresenius-Stiftung, National Institutes of Health, Elitenetzwerk Bayern
Openalex Percentile: Top 19%
Functional Brain Connectivity Studies
1.43
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