ArticleSchizophrenia bulletin2021
Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach.
Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Article
- Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state.Translational psychiatry · 2026Article
- Mapping the neurodevelopmental predictors of psychopathology.Molecular psychiatry · 2025Article
- Biomarker discovery using machine learning in the psychosis spectrum.Biomarkers in neuropsychiatry · 2024Article
- Multivariable prediction of functional outcome after first-episode psychosis: a crossover validation approach in EUFEST and PSYSCAN.Schizophrenia (Heidelberg, Germany) · 2024Article
- Irregularity of visual motion perception and negative symptoms in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm.Nature communications · 2024Article
- Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample.Translational psychiatry · 2024Article
- Multimodal fusion of brain signals for robust prediction of psychosis transition.Schizophrenia (Heidelberg, Germany) · 2024Article
- Evaluating deep learning techniques for identifying tongue features in subthreshold depression: a prospective observational study.Frontiers in psychiatry · 2024Article
- Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia.medRxiv : the preprint server for health sciences · 2023Article
- Spurious Autobiographical Memory of Psychosis: A Mechanistic Hypothesis for the Resolution, Persistence, and Recurrence of Positive Symptoms in Psychotic Disorders.Brain sciences · 2023Article
- Syntactic complexity and diversity of spontaneous speech production in schizophrenia spectrum and major depressive disorders.Schizophrenia (Heidelberg, Germany) · 2023Article
- Data-driven multimodal fusion: approaches and applications in psychiatric research.Psychoradiology · 2023Review
- Whole Person Modeling: a transdisciplinary approach to mental health research.Discover mental health · 2023Review
- Heterogeneity in treatment outcomes and incomplete recovery in first episode psychosis: does one size fit all?Translational psychiatry · 2022Review
- Multimodal machine learning in precision health: A scoping review.NPJ digital medicine · 2022Article
- Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders.Molecular psychiatry · 2022Article
- Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes.Biological psychiatry · 2022Article
- Transdiagnostic inflammatory subgroups among psychiatric disorders and their relevance to role functioning: a nested case-control study of the ALSPAC cohort.Translational psychiatry · 2022Article
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Authors and funding
25 authors.
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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: 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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