ArticleSchizophrenia (Heidelberg, Germany)2023
Similarities and differences between multivariate patterns of cognitive and socio-cognitive deficits in schizophrenia, bipolar disorder and related risk.
Article in Schizophrenia (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Reproducible human reward imaging phenotypes exhibit differential sensitivity to dopamine D2 receptor antagonism.Nature communications · 2026Article
- Three Distinct Pathways to First Episode Mania and Psychosis: Latent Class Analysis of Antecedent Psychopathology.Acta psychiatrica Scandinavica · 2025Article
- Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.Psychological medicine · 2025Article
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Revealing differential psychotic symptoms in schizophrenia and bipolar I disorder by manifold learning and network analyses.Translational psychiatry · 2025Article
- Diagnostic value of regional homogeneity and fractional amplitude of low-frequency fluctuations in the classification of schizophrenia and bipolar disorders.European archives of psychiatry and clinical neuroscience · 2025Article
- Variations of blood D-serine and D-aspartate homeostasis track psychosis stages.Schizophrenia (Heidelberg, Germany) · 2024Article
- Digital phenotyping correlates of mobile cognitive measures in schizophrenia: A multisite global mental health feasibility trial.PLOS digital health · 2024Article
- Advances in the understanding of the pathophysiology of schizophrenia and bipolar disorder through induced pluripotent stem cell models.Journal of psychiatry & neuroscience : JPNReview
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognition and social cognition anomalies in patients with bipolar disorder (BD) and schizophrenia (SCZ) have been largely documented, but the degree of overlap between the two disorders remains unclear in this regard. We used machine learning to generate and combine two classifiers based on cognitive and socio-cognitive variables, thus delivering unimodal and multimodal signatures aimed at discriminating BD and SCZ from two independent groups of Healthy Controls (HC1 and HC2 respectively). Multimodal signatures discriminated well between patients and controls in both the HC1-BD and HC2-SCZ cohorts. Although specific disease-related deficits were characterized, the HC1 vs. BD signature successfully discriminated HC2 from SCZ, and vice-versa. Such combined signatures allowed to identify also individuals at First Episode of Psychosis (FEP), but not subjects at Clinical High Risk (CHR), which were classified neither as patients nor as HC. These findings suggest that both trans-diagnostic and disease-specific cognitive and socio-cognitive deficits characterize SCZ and BD. Anomalous patterns in these domains are also relevant to early stages of disease and offer novel insights for personalized rehabilitative programs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.