ReviewBiological psychiatry2020
Neuroimaging Heterogeneity in Psychosis: Neurobiological Underpinnings and Opportunities for Prognostic and Therapeutic Innovation.
Review in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed.
- Repetitive Transcranial Magnetic Stimulation (rTMS) Treatment Reduces Variability in Brain Function in Schizophrenia: Data From a Double-Blind, Randomized, Sham-Controlled Trial.Schizophrenia bulletin · 2025Trial
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- Psychosocial Interventions, Recovery, and Mediating Mechanisms in Schizophrenia-Spectrum Disorders: A Systematic Review and Meta-Analysis of Longitudinal Studies.Brain sciences · 2026Review
- Concurrent Supervised-Unsupervised Representative Subspace Clustering (CSU-RSC).bioRxiv : the preprint server for biology · 2026Article
- Toward precision medicine: can neuroimaging prospectively predict early treatment outcomes in schizophrenia spectrum disorders? A systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026Review
- Family-Level Brain Pattern Similarities and Their Clinical Significance in Young Offspring of Individuals With Psychotic Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Cognitive-Behavioral Predictors of Individual Variability of Functional Connectivity in Healthy Young Adults.Research square · 2026Article
- Biochemical and brain heterogeneity characterizes psychiatric and non-psychiatric illness.Nature communications · 2026Article
- Medication and atypical brain maturation in psychosis associated with long-term cognitive decline and symptom progression.The British journal of psychiatry : the journal of mental science · 2025Article
- Exploring Heterogeneity in Vestibular Migraine Using Individualized Differential Structural Covariance Network Analysis.CNS neuroscience & therapeutics · 2025Article
- Practical AI application in psychiatry: historical review and future directions.Molecular psychiatry · 2025Review
- Differential trajectories of corticostriatal structural connectivity in individuals at clinical high risk for psychosis according to functional outcome.Translational psychiatry · 2025Article
- Persistent brain network signatures in psychosis: implications for diagnosis, prognosis, and treatment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Imaging Biomarker Studies of Antipsychotic-Naïve First-Episode Schizophrenia in China: Progress and Future Directions.Schizophrenia bulletin · 2025Review
- Neurofind: using deep learning to make individualised inferences in brain-based disorders.Translational psychiatry · 2025Article
- A narrative literature review of white matter microstructure in individuals at clinical high risk for psychosis.Psychoradiology · 2025Review
- Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling.Health data science · 2025Article
- The Neurophysiological Features of Anticipation in Schizophrenia: A Cross-Sectional Study of Event-Related Potentials.Consortium psychiatricum · 2025Article
- Biomarker discovery using machine learning in the psychosis spectrum.Biomarkers in neuropsychiatry · 2024Article
- Parsing heterogeneity in global and local white matter integrity at different stages across the psychosis continuum.Schizophrenia (Heidelberg, Germany) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Heterogeneity in symptom presentation, outcomes, and treatment response has long been problematic for researchers aiming to identify biological markers of schizophrenia or psychosis. However, there is increasing recognition that there may likely be no such general illness markers, which is consistent with the notion of a group of schizophrenia(s) that may have both shared and unique neurobiological pathways. Instead, strategies aiming to capitalize on or leverage such heterogeneity may help uncover neurobiological pathways that may then be used to stratify groups of patients for prognostic purposes or for therapeutic trials. A shift toward larger sample sizes with adequate statistical power to overcome small effect sizes and disentangle the shared variance among different brain-imaging or behavioral variables has become a priority for the field. In addition, recognition that two individuals with the same clinical diagnosis may be more different from each other (at brain, genetic, and behavioral levels) than from another individual in a different disorder or nonclinical control group-coupled with computational advances-has catapulted data-driven efforts forward. Emerging challenges for this new approach include longitudinal stability of new subgroups, demonstration of validity, and replicability. The "litmus test" will be whether computational approaches that are successfully identifying groups of patients who share features in common, more than current DSM diagnostic constructs, also provide better prognostic accuracy over time and in addition lead to enhancements in treatment response and outcomes. These are the factors that matter most to patients, families, providers, and payers.
Indexed as
Identifiers
What OpenQuestion holds
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.