Cited by 42Schizophrenia research and treatmentBipolar Disorder and TreatmentMental Health and Psychiatry

Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach

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Lalousis, Paris Alexandros, Wood, Stephen J, Schmaal, Lianne, Chisholm, Katharine, Griffiths, Sian Lowri, Reniers, Renate L E P, Bertolino, Alessandro, Borgwardt, Stefan +17 more·2021·Schizophrenia Bulletin

Abstract

Diagnostic heterogeneity within and across psychotic and affective disorders challenges accurate treatment selection, particularly in the early stages. Delineation of shared and distinct illness features at the phenotypic and brain levels may inform the development of more precise differential diagnostic tools. We aimed to identify prototypes of depression and psychosis to investigate their heterogeneity, with common, comorbid transdiagnostic symptoms. Analyzing clinical/neurocognitive and grey matter volume (GMV) data from the PRONIA database, we generated prototypic models of recent-onset depression (ROD) vs. recent-onset psychosis (ROP) by training support-vector machines to separate patients with ROD from patients with ROP, who were selected for absent comorbid features (pure groups). Then, models were applied to patients with comorbidity, ie, ROP with depressive symptoms (ROP+D) and ROD participants with sub-threshold psychosis-like features (ROD+P), to measure their positions within the affective-psychotic continuum. All models were independently validated in a replication sample. Comorbid patients were positioned between pure groups, with ROP+D patients being more frequently classified as ROD compared to pure ROP patients (clinical/neurocognitive model: χ2 = 14.874; P < .001; GMV model: χ2 = 4.933; P = .026). ROD+P patient classification did not differ from ROD (clinical/neurocognitive model: χ2 = 1.956; P = 0.162; GMV model: χ2 = 0.005; P = .943). Clinical/neurocognitive and neuroanatomical models demonstrated separability of prototypic depression from psychosis. The shift of comorbid patients toward the depression prototype, observed at the clinical and biological levels, suggests that psychosis with affective comorbidity aligns more strongly to depressive rather than psychotic disease processes. Future studies should assess how these quantitative measures of comorbidity predict outcomes and individual responses to stratified therapeutic interventions.

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References 55 · Cited by 42

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Authors
Lalousis, P. A., Wood, S. J., Schmaal, L., Chisholm, K., Griffiths, S. L., Reniers, R. L. E. P., Bertolino, A., Borgwardt, S., Brambilla, P., Kambeitz, J., Lencer, R., Pantelis, C., Ruhrmann, S., Salokangas, R. K. R., Schultze-Lutter, F., Bonivento, C., Dwyer, D., Ferro, A., Haidl, T., Rosen, M., Schmidt, A., Meisenzahl, E., Koutsouleris, N., Upthegrove, R., & PRONIA Consortium
Affiliations
  • University of Birmingham (GB)
  • The University of Melbourne (AU)
  • Aston University (GB)
  • Institute for Mental Health, University of Birmingham, Birmingham, UK
  • University of Bari Aldo Moro (IT)
  • University of Basel (CH)
  • University of Milan (IT)
  • Ludwig-Maximilians-Universität München (DE)
  • University of Münster (DE)
  • University of Cologne (DE)
  • University of Turku (FI)
  • Department of Psychiatry and Psychotherapy, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
  • IRCCS Eugenio Medea (IT)
  • Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
  • Department of Psychiatry, University of Basel, Basel, Switzerland
  • Heinrich Heine University Düsseldorf (DE)
  • Birmingham Women’s and Children’s NHS Foundation Trust (GB)
Corresponding author
Lalousis, Paris Alexandros
Venue
Schizophrenia Bulletin
Published
2021-02-05
Volume
47
Issue
4
Pages
1130-1140
ISSN
  • 0586-7614 (ISSN-L)
  • 1745-1701
OpenAlex
W3127346740
Cited by
42
References
55
Citations by year
2026: 4 · 2025: 4 · 2024: 13 · 2023: 10 · 2022: 10 · 2021: 1
FWCI
3.82
Type
journal article
Language
en
Open access
Locations
  • Schizophrenia Bulletin (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (publishedVersion, other-oa)
  • Minerva Access (University of Melbourne) (submittedVersion)
  • CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
Funders
European Union (602152)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
  • Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords
recent-onset psychosis, recent-onset depression
MeSH terms
Machine Learning, Adult, Depression, Female, Humans, Male, Psychotic Disorders, Comorbidity, Young Adult

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