Universität zu Köln

Lalousis, Paris Alexandros ORCID: 0000-0001-9642-3080, Wood, Stephen J., Schmaal, Lianne, Chisholm, Katharine ORCID: 0000-0002-0575-0789, Griffiths, Sian Lowri, Reniers, Renate L. E. P., Bertolino, Alessandro, Borgwardt, Stefan, Brambilla, Paolo, Kambeitz, Joseph ORCID: 0000-0002-8988-3959, Lencer, Rebekka, Pantelis, Christos ORCID: 0000-0002-9565-0238, Ruhrmann, Stephan, Salokangas, Raimo K. R., Schultze-Lutter, Frauke, Bonivento, Carolina, Dwyer, Dominic, Ferro, Adele, Haidl, Theresa, Rosen, Marlene, Schmidt, Andre ORCID: 0000-0001-6055-8397, Meisenzahl, Eva, Koutsouleris, Nikolaos and Upthegrove, Rachel ORCID: 0000-0001-8204-5103 (2021). Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach. Schizophr. Bull., 47 (4). S. 1130 - 1141. OXFORD: OXFORD UNIV PRESS. ISSN 1745-1701

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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: chi 2 = 14.874; P < .001; GMV model: chi 2 = 4.933; P = .026). ROD+P patient classification did not differ from ROD (clinical/neurocognitive model: chi 2 = 1.956; P = 0.162; GMV model: chi 2 = 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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lalousis, Paris Alexandros UNSPECIFIED orcid.org/0000-0001-9642-3080 UNSPECIFIED Wood, Stephen J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmaal, Lianne UNSPECIFIED UNSPECIFIED UNSPECIFIED Chisholm, Katharine UNSPECIFIED orcid.org/0000-0002-0575-0789 UNSPECIFIED Griffiths, Sian Lowri UNSPECIFIED UNSPECIFIED UNSPECIFIED Reniers, Renate L. E. P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bertolino, Alessandro UNSPECIFIED UNSPECIFIED UNSPECIFIED Borgwardt, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Brambilla, Paolo UNSPECIFIED UNSPECIFIED UNSPECIFIED Kambeitz, Joseph UNSPECIFIED orcid.org/0000-0002-8988-3959 UNSPECIFIED Lencer, Rebekka UNSPECIFIED UNSPECIFIED UNSPECIFIED Pantelis, Christos UNSPECIFIED orcid.org/0000-0002-9565-0238 UNSPECIFIED Ruhrmann, Stephan UNSPECIFIED UNSPECIFIED UNSPECIFIED Salokangas, Raimo K. R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schultze-Lutter, Frauke UNSPECIFIED UNSPECIFIED UNSPECIFIED Bonivento, Carolina UNSPECIFIED UNSPECIFIED UNSPECIFIED Dwyer, Dominic UNSPECIFIED UNSPECIFIED UNSPECIFIED Ferro, Adele UNSPECIFIED UNSPECIFIED UNSPECIFIED Haidl, Theresa UNSPECIFIED UNSPECIFIED UNSPECIFIED Rosen, Marlene UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmidt, Andre UNSPECIFIED orcid.org/0000-0001-6055-8397 UNSPECIFIED Meisenzahl, Eva UNSPECIFIED UNSPECIFIED UNSPECIFIED Koutsouleris, Nikolaos UNSPECIFIED UNSPECIFIED UNSPECIFIED Upthegrove, Rachel UNSPECIFIED orcid.org/0000-0001-8204-5103 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-604697
DOI:	10.1093/schbul/sbaa185
Journal or Publication Title:	Schizophr. Bull.
Volume:	47
Number:	4
Page Range:	S. 1130 - 1141
Date:	2021
Publisher:	OXFORD UNIV PRESS
Place of Publication:	OXFORD
ISSN:	1745-1701
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DETECTING NEUROIMAGING BIOMARKERS; GENERALIZABILITY THEORY; SCHIZOPHRENIA; DISORDERS; OPPORTUNITIES; METAANALYSIS; ANHEDONIA; FEATURES; BURDEN; COST Multiple languages Psychiatry Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/60469