ArticleEuropean archives of psychiatry and clinical neuroscience2022
Characterising cognitive heterogeneity in individuals at clinical high-risk for psychosis: a cluster analysis with clinical and functional outcome prediction.
Article in European archives of psychiatry and clinical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Emotion Processing and Its Relationship to Social Functioning and Symptoms in Psychotic Disorder: A Systematic Review and Meta-analysis.Schizophrenia bulletin · 2025Pooled it
- Examining the variability of neurocognitive functioning in individuals at clinical high risk for psychosis: a meta-analysis.Translational psychiatry · 2022Pooled it
- Beyond severity: Mapping cognitive heterogeneity in schizophrenia at the structural level.medRxiv : the preprint server for health sciences · 2026Article
- Back to the future: Linking early psychiatric symptoms to transdiagnostic cognitive functioning in at-risk youth from the adolescent brain cognitive development study.Journal of psychiatric research · 2026Article
- Salience network segregation and symptom profiles in psychosis risk subgroups among youth and early adults.Schizophrenia (Heidelberg, Germany) · 2025Article
- Cognitive subtypes in youth at clinical high risk for psychosis.Psychiatry and clinical neurosciences · 2025Article
- Exposotypes in psychotic disorders.Scientific reports · 2025Article
- Do Cognitive Subtypes Exist in People at Clinical High Risk for Psychosis? Results From the EU-GEI Study.Schizophrenia bulletin · 2025Article
- Neurocognitive resilience as a predictor of psychosis onset and functional outcomes in individuals at high risk.BMC medicine · 2025Article
- Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity.Schizophrenia (Heidelberg, Germany) · 2025Article
- Biomarker discovery using machine learning in the psychosis spectrum.Biomarkers in neuropsychiatry · 2024Article
- Global reward processing deficits predict negative symptoms transdiagnostically and transphasically in a severe mental illness-spectrum sample.European archives of psychiatry and clinical neuroscience · 2024Article
- Cognitive subgroups of affective and non-affective psychosis show differences in medication and cortico-subcortical brain networks.Scientific reports · 2024Article
- Identification of distinct clinical profiles and trajectories in individuals at high risk of developing psychosis: A latent profile analysis of the north American prodrome longitudinal study consortium-3 dataset.Early intervention in psychiatry · 2024Article
- Multivariate associations between neuroanatomy and cognition in unmedicated and medicated individuals with schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Clinical and Functional Outcomes of Community-Recruited Individuals at Clinical High-Risk for Psychosis: Results From the Youth Mental Health Risk and Resilience Study (YouR-Study).Schizophrenia bulletin open · 2024Article
- Identifying individuals with intellectual disability who access mental health support and are at high risk for adverse clinical outcomes: cohort study.BJPsych open · 2023Article
- Arketamine for cognitive impairment in psychiatric disorders.European archives of psychiatry and clinical neuroscience · 2023Review
- Rethinking Immunity and Cognition in Clinical High Risk for Psychosis.Current topics in behavioral neurosciences · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
Abstract
Schizophrenia is characterised by cognitive impairments that are already present during early stages, including in the clinical high-risk for psychosis (CHR-P) state and first-episode psychosis (FEP). Moreover, data suggest the presence of distinct cognitive subtypes during early-stage psychosis, with evidence for spared vs. impaired cognitive profiles that may be differentially associated with symptomatic and functional outcomes. Using cluster analysis, we sought to determine whether cognitive subgroups were associated with clinical and functional outcomes in CHR-P individuals. Data were available for 146 CHR-P participants of whom 122 completed a 6- and/or 12-month follow-up; 15 FEP participants; 47 participants not fulfilling CHR-P criteria (CHR-Ns); and 53 healthy controls (HCs). We performed hierarchical cluster analysis on principal components derived from neurocognitive and social cognitive measures. Within the CHR-P group, clusters were compared on clinical and functional variables and examined for associations with global functioning, persistent attenuated psychotic symptoms and transition to psychosis. Two discrete cognitive subgroups emerged across all participants: 45.9% of CHR-P individuals were cognitively impaired compared to 93.3% of FEP, 29.8% of CHR-N and 30.2% of HC participants. Cognitively impaired CHR-P participants also had significantly poorer functioning at baseline and follow-up than their cognitively spared counterparts. Specifically, cluster membership predicted functional but not clinical outcome. Our findings support the existence of distinct cognitive subgroups in CHR-P individuals that are associated with functional outcomes, with implications for early intervention and the understanding of underlying developmental processes.
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