ReviewHuman brain mapping2019
Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders.
Review in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 53 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
72 citing papers in PubMed, 53 syntheses or guidelines pooled it, 124 citations in OpenAlex.
- Neural correlates of acute task-related stress in humans: a systematic review and coordinate-based ALE meta-analysis.Brain imaging and behavior · 2026Pooled it
- Brain Structural Abnormalities in Addiction Disorders: Transdiagnostic Meta-Analyses.Human brain mapping · 2026Pooled it
- Functional brain abnormalities of cognitive impairments in schizophrenia indicating higher integration of working memory than other domains.Molecular psychiatry · 2026Pooled it
- A neuroimaging meta-analysis on social impression formation of stable characteristics.Cerebral cortex (New York, N.Y. : 1991) · 2026Pooled it
- Shared genetic architecture of gray matter deficits in schizophrenia and bipolar disorder: evidence from structural neuroimaging-genetic analyses.Psychological medicine · 2026Pooled it
- Identification of a diagnosis-selective neurobiological substrate for bipolar disorder, major depressive disorder, and schizophrenia: a meta-analysis of 57,717 subjects.Psychological medicine · 2026Pooled it
- A bias-accounting meta-analytic approach refines and expands the cerebellar behavioral topography.Neuroscience and biobehavioral reviews · 2025Pooled it
- Shared neuroimaging and molecular profiles in type 2 diabetes mellitus and major depressive disorder: an integrative analysis of genetic, transcriptomic, and neuroimaging data.Translational psychiatry · 2025Pooled it
- Structural and functional brain abnormal alteration in patients with type 2 diabetes mellitus: A coordinate-based meta-analysis.Translational psychiatry · 2025Pooled it
- Neural correlates of negative aesthetic evaluations in visual art: a neuroimaging meta-analysis.Cerebral cortex (New York, N.Y. : 1991) · 2025Pooled it
- Distinct Convergent Brain Alterations in Sleep Disorders and Sleep Deprivation: A Meta-Analysis.JAMA psychiatry · 2025Pooled it
- Exploration of brain imaging biomarkers in subthreshold depression patients across different ages: an ALE meta-analysis based on MRI studies.BMC psychiatry · 2025Pooled it
- Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis.Molecular psychiatry · 2025Pooled it
- Coordinates-based meta-analysis for vestibular migraine and the underlying mechanisms behind it.Frontiers in neurology · 2025Pooled it
- Which software packages did researchers use to meta-analyze fMRI data? A literature survey from 2019 to 2024.Frontiers in human neuroscience · 2025Pooled it
- No reliable gray matter alterations in idiopathic dystonia.Frontiers in neurology · 2025Pooled it
- Meta-analytic connectivity perturbation analysis (MACPA): a new method for enhanced precision in fMRI connectivity analysis.Brain structure & function · 2024Pooled it
- Structural and functional brain alterations in subthreshold depression: A multimodal coordinate-based meta-analysis.Human brain mapping · 2024Pooled it
- Heterogeneous Brain Abnormalities in Schizophrenia Converge on a Common Network Associated With Symptom Remission.Schizophrenia bulletin · 2024Pooled it
- Embodying Time in the Brain: A Multi-Dimensional Neuroimaging Meta-Analysis of 95 Duration Processing Studies.Neuropsychology review · 2024Pooled it
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 3 countries.
Funding
Abstract
Over the past decades, neuroimaging has become widely used to investigate structural and functional brain abnormality in neuropsychiatric disorders. The results of individual neuroimaging studies, however, are frequently inconsistent due to small and heterogeneous samples, analytical flexibility, and publication bias toward positive findings. To consolidate the emergent findings toward clinically useful insight, meta-analyses have been developed to integrate the results of studies and identify areas that are consistently involved in pathophysiology of particular neuropsychiatric disorders. However, it should be considered that the results of meta-analyses could also be divergent due to heterogeneity in search strategy, selection criteria, imaging modalities, behavioral tasks, number of experiments, data organization methods, and statistical analysis with different multiple comparison thresholds. Following an introduction to the problem and the concepts of quantitative summaries of neuroimaging findings, we propose practical recommendations for clinicians and researchers for conducting transparent and methodologically sound neuroimaging meta-analyses. This should help to consolidate the search for convergent regional brain abnormality in neuropsychiatric disorders.
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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.