SynthesisResearch synthesis methods2020
Estimating the prevalence of missing experiments in a neuroimaging meta-analysis.
Synthesis in Research synthesis methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 19 of them syntheses that pooled it.
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
33 citing papers in PubMed, 19 syntheses or guidelines pooled it.
- Brain Structural Abnormalities in Addiction Disorders: Transdiagnostic Meta-Analyses.Human brain mapping · 2026Pooled it
- Neural Correlates of Explicit Outcome Expectation Effects: An Activation Likelihood Estimation Meta-Analysis.Human brain mapping · 2026Pooled it
- Task-based fMRI brain activation in mild cognitive impairment and Alzheimer's disease: an ALE meta-analysis.GeroScience · 2026Pooled it
- Subgenual anterior cingulate cortex in major depression: a systematic review and meta-analysis of MRI studies with patients and healthy controls.Translational psychiatry · 2026Pooled it
- Cortical Gradients Support Mental Time Travel into the Past and Future: Evidence from Activation Likelihood Estimation Meta-analysis.Neuropsychology review · 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
- Contributions of the left and right thalami to language: A meta-analytic approach.Brain structure & function · 2024Pooled it
- Evaluating the robustness of DTI-ALPS in clinical context: a meta-analytic parallel on Alzheimer's and Parkinson's diseases.Scientific reports · 2024Pooled it
- Two different mirror neuron pathways for social and non-social actions? A meta-analysis of fMRI studies.Social cognitive and affective neuroscience · 2024Pooled it
- Cognitive reappraisal of food craving and emotions: a coordinate-based meta-analysis of fMRI studies.Social cognitive and affective neuroscience · 2024Pooled it
- Neural underpinnings of response inhibition in substance use disorders: weak meta-analytic evidence for a widely used construct.Psychopharmacology · 2024Pooled it
- A systematic review and meta-analysis of resting-state fMRI in anxiety disorders: Need for data sharing to move the field forward.Journal of anxiety disorders · 2023Pooled it
- Meta-analytic connectivity modelling of functional magnetic resonance imaging studies in autism spectrum disorders.Brain imaging and behavior · 2023Pooled it
- Economic value in the Brain: A meta-analysis of willingness-to-pay using the Becker-DeGroot-Marschak auction.PloS one · 2023Pooled it
- Tasks activating the default mode network map multiple functional systems.Brain structure & function · 2022Pooled it
- Neuroimaging alterations in dementia with Lewy bodies and neuroimaging differences between dementia with Lewy bodies and Alzheimer's disease: An activation likelihood estimation meta-analysis.CNS neuroscience & therapeutics · 2022Pooled it
- Invariant structural and functional brain regions associated with tinnitus: A meta-analysis.PloS one · 2022Pooled it
- Multimodal Abnormalities of Brain Structure and Function in Major Depressive Disorder: A Meta-Analysis of Neuroimaging Studies.The American journal of psychiatry · 2020Pooled it
- Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies.Journal of neurodevelopmental disorders · 2019Pooled it
- Differential cross-modal functional plasticity in deaf individuals: A meta-analysis of neuroimaging studies.iScience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Coordinate-based meta-analyses (CBMA) allow researchers to combine the results from multiple functional magnetic resonance imaging experiments with the goal of obtaining results that are more likely to generalize. However, the interpretation of CBMA findings can be impaired by the file drawer problem, a type of publication bias that refers to experiments that are carried out but are not published. Using foci per contrast count data from the BrainMap database, we propose a zero-truncated modeling approach that allows us to estimate the prevalence of nonsignificant experiments. We validate our method with simulations and real coordinate data generated from the Human Connectome Project. Application of our method to the data from BrainMap provides evidence for the existence of a file drawer effect, with the rate of missing experiments estimated as at least 6 per 100 reported. The R code that we used is available at https://osf.io/ayhfv/.
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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.