ArticleJAMA psychiatry2019
Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk.
Article in JAMA psychiatry, 2019. 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 157 papers, 11 of them syntheses that pooled it.
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
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.
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Who cites it
157 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Advances in Schizophrenia Subtyping: A Systematic Review of Machine Learning Applications in Neuroimaging.Advances in experimental medicine and biology · 2026Pooled it
- Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study.The American journal of psychiatry · 2025Pooled it
- Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review.Schizophrenia bulletin · 2024Pooled it
- Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11.2 deletion syndrome: A review of ENIGMA findings.Psychiatry and clinical neurosciences · 2022Pooled it
- Morphometric Analysis of Structural MRI Using Schizophrenia Meta-analytic Priors Distinguish Patients from Controls in Two Independent Samples and in a Sample of Individuals With High Polygenic Risk.Schizophrenia bulletin · 2022Pooled it
- Greater male than female variability in regional brain structure across the lifespan.Human brain mapping · 2022Pooled it
- A Systematic Review of Cognition-Brain Morphology Relationships on the Schizophrenia-Bipolar Disorder Spectrum.Schizophrenia bulletin · 2021Pooled it
- Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate-based meta-analytic study.Human brain mapping · 2021Pooled it
- Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders.Translational psychiatry · 2020Pooled it
- ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.Translational psychiatry · 2020Pooled it
- Hippocampal subfield alterations in schizophrenia and major depressive disorder: a systematic review and network meta-analysis of anatomic MRI studies.Journal of psychiatry & neuroscience : JPNPooled it
- Linking Personalized Brain Atrophy to Schizophrenia Network and Treatment Response.Schizophrenia bulletin · 2023Trial
- Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis.Human brain mapping · 2020Trial
- Polygenic burden associated to oligodendrocyte precursor cells and radial glia influences the hippocampal volume changes induced by aerobic exercise in schizophrenia patients.Translational psychiatry · 2019Trial
- A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Observational
- Loneliness, Genetic Susceptibility, Brain Structure, and the Risk of Schizophrenia: A Large Prospective Study.Schizophrenia bulletin · 2026Article
- Polygenic scores in psychiatric research and clinical practice.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Longitudinal brain structural changes during clozapine treatment: associations with neuroreceptor architecture and clinical response.medRxiv : the preprint server for health sciences · 2026Article
- The Hidden Architecture of Brain Structural Variability in 22q11.2 Deletion Syndrome: A Multi-site Study.medRxiv : the preprint server for health sciences · 2026Article
- Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
97 more citing papers are in PubMed but not listed here.
Corrections and comments
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- Erratum issued
Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Between-individual variability in brain structure is determined by gene-environment interactions, possibly reflecting differential sensitivity to environmental and genetic perturbations. Magnetic resonance imaging (MRI) studies have revealed thinner cortices and smaller subcortical volumes in patients with schizophrenia. However, group-level comparisons may mask considerable within-group heterogeneity, which has largely remained unnoticed in the literature. Objectives: To compare brain structural variability between individuals with schizophrenia and healthy controls and to test whether respective variability reflects the polygenic risk score (PRS) for schizophrenia in an independent sample of healthy controls. Design, Setting, and Participants: This case-control and polygenic risk analysis compared MRI-derived cortical thickness and subcortical volumes between healthy controls and patients with schizophrenia across 16 cohorts and tested for associations between PRS and MRI features in a control cohort from the UK Biobank. Data were collected from October 27, 2004, through April 12, 2018, and analyzed from December 3, 2017, through August 1, 2018. Main Outcomes and Measures: Mean and dispersion parameters were estimated using double generalized linear models. Vertex-wise analysis was used to assess cortical thickness, and regions-of-interest analyses were used to assess total cortical volume, total surface area, and white matter, subcortical, and hippocampal subfield volumes. Follow-up analyses included within-sample analysis, test of robustness of the PRS threshold, population covariates, outlier removal, and control for image quality. Results: A comparison of 1151 patients with schizophrenia (mean [SD] age, 33.8 [10.6] years; 68.6% male [n = 790] and 31.4% female [n = 361]) with 2010 healthy controls (mean [SD] age, 32.6 [10.4] years; 56.0% male [n = 1126] and 44.0% female [n = 884]) revealed higher heterogeneity in schizophrenia for cortical thickness and area (t = 3.34), cortical (t = 3.24) and ventricle (t range, 3.15-5.78) volumes, and hippocampal subfields (t range, 2.32-3.55). In the UK Biobank sample of 12 490 participants (mean [SD] age, 55.9 [7.5] years; 48.2% male [n = 6025] and 51.8% female [n = 6465]), higher PRS was associated with thinner frontal and temporal cortices and smaller left CA2/3 (t = -3.00) but was not significantly associated with dispersion. Conclusions and Relevance: This study suggests that schizophrenia is associated with substantial brain structural heterogeneity beyond the mean differences. These findings may reflect higher sensitivity to environmental and genetic perturbations in patients, supporting the heterogeneous nature of schizophrenia. A higher PRS was associated with thinner frontotemporal cortices and smaller hippocampal subfield volume, but not heterogeneity. This finding suggests that brain variability in schizophrenia results from interactions between environmental and genetic factors that are not captured by the PRS. Factors contributing to heterogeneity in frontotemporal cortices and hippocampus are key to furthering our understanding of how genetic and environmental factors shape brain biology in schizophrenia.
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