ArticleThe American journal of psychiatry2016
Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers.
Article in The American journal of psychiatry, 2016. 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 397 papers, 7 of them syntheses that pooled it.
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Who cites it
397 citing papers in PubMed, 7 syntheses or guidelines pooled it, 757 citations in OpenAlex.
- Dissecting Schizophrenia Biology Using Pleiotropy With Cognitive Genomics.Biological psychiatry · 2025Pooled it
- Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study.The American journal of psychiatry · 2025Pooled it
- Quantitative analysis of literature on diagnostic biomarkers of Schizophrenia: revealing research hotspots and future prospects.BMC psychiatry · 2025Pooled it
- Aberrant cortical-subcortical-cerebellar connectivity in resting-state fMRI as an imaging marker of schizophrenia and psychosis: a systematic review of data-driven whole-brain functional connectivity analyses.Frontiers in neuroimaging · 2025Pooled it
- Neurofilament Light Protein as a Biomarker in Severe Mental Disorders: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Neuroretinal Alterations in Schizophrenia and Bipolar Disorder: An Updated Meta-analysis.Schizophrenia bulletin · 2024Pooled it
- Shared and distinct brain fMRI response during performance of working memory tasks in adult patients with schizophrenia and major depressive disorder.Human brain mapping · 2021Pooled it
- Linking Personalized Brain Atrophy to Schizophrenia Network and Treatment Response.Schizophrenia bulletin · 2023Trial
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- What Static Connectivity Misses: Dynamic Alpha-Band Brain Network States in First-Episode Psychosis.Brain topography · 2026Article
- Schizophrenia, variability, and the Anna Karenina principle.Psychiatry research. Neuroimaging · 2026Article
- Anomalous self-experiences in biotypes of psychosis.European archives of psychiatry and clinical neuroscience · 2026Article
- Toward a Pluralistic Model for the Schizophrenia Spectrum-Dopamine and Beyond.JAMA psychiatry · 2026Review
- Subtyping Internet Gaming Disorder Based on Interindividual Deviation of Functional Connectivity: A Network Contingency Analysis.Addiction biology · 2026Article
- Family-Level Brain Pattern Similarities and Their Clinical Significance in Young Offspring of Individuals With Psychotic Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures.Molecular psychiatry · 2026Article
- From dysconnectivity to symptoms: large-scale resting-state networks relate to psychotic phenomenology in schizophrenia.BMC psychiatry · 2026Article
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- Polygenic associations with phenotypic classes across the psychosis-affective spectrum.medRxiv : the preprint server for health sciences · 2026Article
- Neuroanatomical subtypes of preterm adolescents.Molecular psychiatry · 2026Article
337 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
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- Erratum issuedCORRECTION.2016
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
objectiveClinical phenomenology remains the primary means for classifying psychoses despite considerable evidence that this method incompletely captures biologically meaningful differentiations. Rather than relying on clinical diagnoses as the gold standard, this project drew on neurobiological heterogeneity among psychosis cases to delineate subgroups independent of their phenomenological manifestations.
methodA large biomarker panel (neuropsychological, stop signal, saccadic control, and auditory stimulation paradigms) characterizing diverse aspects of brain function was collected on individuals with schizophrenia, schizoaffective disorder, and bipolar disorder with psychosis (N=711), their first-degree relatives (N=883), and demographically comparable healthy subjects (N=278). Biomarker variance across paradigms was exploited to create nine integrated variables that were used to capture neurobiological variance among the psychosis cases. Data on external validating measures (social functioning, structural magnetic resonance imaging, family biomarkers, and clinical information) were collected.
resultsMultivariate taxometric analyses identified three neurobiologically distinct psychosis biotypes that did not respect clinical diagnosis boundaries. The same analysis procedure using clinical DSM diagnoses as the criteria was best described by a single severity continuum (schizophrenia worse than schizoaffective disorder worse than bipolar psychosis); this was not the case for biotypes. The external validating measures supported the distinctiveness of these subgroups compared with clinical diagnosis, highlighting a possible advantage of neurobiological versus clinical categorization schemes for differentiating psychotic disorders.
conclusionsThese data illustrate how multiple pathways may lead to clinically similar psychosis manifestations, and they provide explanations for the marked heterogeneity observed across laboratories on the same biomarker variables when DSM diagnoses are used as the gold standard.
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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.