SynthesisJAMA psychiatry2017
Heterogeneity and Homogeneity of Regional Brain Structure in Schizophrenia: A Meta-analysis.
Synthesis in JAMA psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 28 of them syntheses that pooled it.
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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.
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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
178 citing papers in PubMed, 28 syntheses or guidelines pooled it.
- Interindividual Sleep Variability Across the Psychosis Spectrum: A Systematic Review and Meta-Analysis.JAMA network open · 2026Pooled it
- Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study.The American journal of psychiatry · 2025Pooled it
- Meta-analysis of variance in tDCS effects on response inhibition.Scientific reports · 2024Pooled it
- Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis.JAMA network open · 2024Pooled it
- Heterogeneous Brain Abnormalities in Schizophrenia Converge on a Common Network Associated With Symptom Remission.Schizophrenia bulletin · 2024Pooled it
- Dopamine in major depressive disorder: A systematic review and meta-analysis of in vivo imaging studies.Journal of psychopharmacology (Oxford, England) · 2023Pooled it
- Brain glucose metabolism in schizophrenia: a systematic review and meta-analysis ofPsychological medicine · 2023Pooled it
- Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis.Molecular psychiatry · 2023Pooled it
- Variability of glucose, insulin, and lipid disturbances in first-episode psychosis: a meta-analysis.Psychological medicine · 2023Pooled it
- Structural connectivity associated with familial risk for mental illness: A meta-analysis of diffusion tensor imaging studies in relatives of patients with severe mental disorders.Human brain mapping · 2022Pooled it
- White-matter free-water diffusion MRI in schizophrenia: a systematic review and meta-analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Pooled it
- Examining the variability of neurocognitive functioning in individuals at clinical high risk for psychosis: a meta-analysis.Translational psychiatry · 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
- Social functioning and brain imaging in individuals at clinical high-risk for psychosis: A systematic review.Schizophrenia research · 2021Pooled it
- Hippocampal volume and hippocampal neuron density, number and size in schizophrenia: a systematic review and meta-analysis of postmortem studies.Molecular psychiatry · 2021Pooled it
- Magnitude and heterogeneity of brain structural abnormalities in 22q11.2 deletion syndrome: a meta-analysis.Molecular psychiatry · 2020Pooled it
- Inflammatory markers in depression: A meta-analysis of mean differences and variability in 5,166 patients and 5,083 controls.Brain, behavior, and immunity · 2020Pooled it
- Association of Ketamine With Psychiatric Symptoms and Implications for Its Therapeutic Use and for Understanding Schizophrenia: A Systematic Review and Meta-analysis.JAMA network open · 2020Pooled it
- Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders.Translational psychiatry · 2020Pooled it
- Psychiatric symptoms caused by cannabis constituents: a systematic review and meta-analysis.The lancet. Psychiatry · 2020Pooled it
118 more citing papers are in PubMed but not listed here.
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Abstract
Importance: Schizophrenia is associated with alterations in mean regional brain volumes. However, it is not known whether the clinical heterogeneity seen in the disorder is reflected at the neurobiological level, for example, in differences in the interindividual variability of these brain volumes relative to control individuals. Objective: To investigate whether patients with first-episode schizophrenia exhibit greater variability of regional brain volumes in addition to mean volume differences. Data Sources: Studies that reported regional brain volumetric measures in patients and controls by using magnetic resonance imaging in the MEDLINE, EMBASE, and PsycINFO databases from inception to October 1, 2016, were examined. Study Selection: Case-control studies that reported regional brain volumes in patients with first-episode schizophrenia and healthy controls by using magnetic resonance imaging were selected. Data Extraction and Synthesis: Means and variances (SDs) were extracted for each measure to calculate effect sizes, which were combined using multivariate meta-analysis. Main Outcomes and Measures: Relative variability of regional brain volumetric measurements in patients compared with control groups as indexed by the variability ratio (VR) and coefficient of variation ratio (CVR). Hedges g was used to quantify mean differences. Results: A total of 108 studies that reported measurements from 3901 patients (1272 [32.6%] female) with first-episode schizophrenia and 4040 controls (1613 [39.9%] female) were included in the analyses. Variability of putamen (VR, 1.13; 95% CI, 1.03-1.24; P = .01), temporal lobe (VR, 1.12; 95% CI, 1.04-1.21; P = .004), thalamus (VR, 1.16; 95% CI, 1.07-1.26; P < .001), and third ventricle (VR, 1.43; 95% CI, 1.20-1.71; P < 1 × 10-5) volume was significantly greater in patients, whereas variability of anterior cingulate cortex volume was lower (VR, 0.89; 95% CI, 0.81-0.98; P = .02). These findings were robust to choice of outcome measure. There was no evidence of altered variability of caudate nucleus or frontal lobe volumes. Mean volumes of the lateral (g = 0.40; 95% CI, 0.29-0.51; P < .001) and third ventricles (g = 0.43; 95% CI, 0.26-0.59; P < .001) were greater, whereas mean volumes of the amygdala (g = -0.46; -0.65 to -0.26; P < .001), anterior cingulate cortex (g = -0.26; 95% CI, -0.43 to -0.10; P = .005), frontal lobe (g = -0.31; 95% CI, -0.44 to -0.19; P = .001), hippocampus (g = -0.66; 95% CI, -0.84 to -0.47; P < .001), temporal lobe (g = -0.22; 95% CI, -0.36 to -0.09; P = .001), and thalamus (g = -0.36; 95% CI, -0.57 to -0.15; P = .001) were lower in patients. There was no evidence of altered mean volume of caudate nucleus or putamen. Conclusions and Relevance: In addition to altered mean volume of many brain structures, schizophrenia is associated with significantly greater variability of temporal cortex, thalamus, putamen, and third ventricle volumes, consistent with biological heterogeneity in these regions, but lower variability of anterior cingulate cortex volume. This finding indicates greater homogeneity of anterior cingulate volume and, considered with the significantly lower mean volume of this region, suggests that this is a core region affected by the disorder.
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