SynthesisSocial cognitive and affective neuroscience2007
Meta-analysis of functional neuroimaging data: current and future directions.
Synthesis in Social cognitive and affective neuroscience, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 82 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.
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Who cites it
192 citing papers in PubMed, 82 syntheses or guidelines pooled it.
- Effects of acupuncture on brain function in patients with depression: A meta-analysis of functional magnetic resonance imaging studies.Medicine · 2026Pooled it
- Brain Structural Abnormalities in Addiction Disorders: Transdiagnostic Meta-Analyses.Human brain mapping · 2026Pooled it
- Neural correlates of altered interoception in depressive and anxiety disorders: a systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026Pooled it
- Gray Matter Volume Abnormalities in Schizophrenia: Comparisons Between P-Value and Effect Size Inference Frameworks Using Mega- and Meta-Analyses.Schizophrenia bulletin · 2026Pooled it
- A bias-accounting meta-analytic approach refines and expands the cerebellar behavioral topography.Neuroscience and biobehavioral reviews · 2025Pooled it
- Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data.Scientific reports · 2025Pooled it
- Structural and functional brain abnormal alteration in patients with type 2 diabetes mellitus: A coordinate-based meta-analysis.Translational psychiatry · 2025Pooled it
- The effects of childhood adversity: Two specific neural patterns.Neuroscience and biobehavioral reviews · 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
- A meta-analysis of cognitive flexibility in aging: Perspective from functional network and lateralization.Human brain mapping · 2024Pooled it
- Embodying Time in the Brain: A Multi-Dimensional Neuroimaging Meta-Analysis of 95 Duration Processing Studies.Neuropsychology review · 2024Pooled it
- Neural mechanisms of different types of envy: a meta-analysis of activation likelihood estimation methods for brain imaging.Frontiers in psychology · 2024Pooled it
- A research agenda for understanding how social inequality is linked to brain structure and function.Nature human behaviour · 2024Pooled it
- Immediate and long-term brain activation of acupuncture on ischemic stroke patients: an ALE meta-analysis of fMRI studies.Frontiers in neuroscience · 2024Pooled it
- Adverse Life Experiences and Brain Function: A Meta-Analysis of Functional Magnetic Resonance Imaging Findings.JAMA network open · 2023Pooled it
- Unpacking reappraisal: a systematic review of fMRI studies of distancing and reinterpretation.Social cognitive and affective neuroscience · 2023Pooled it
- Gray Matter Alterations in Panic Disorder: A Voxel-Wise Meta-Analysis.Psychiatry and clinical psychopharmacology · 2023Pooled it
- The neurobiological effects of mind-body exercise: a systematic review and meta-analysis of neuroimaging studies.Scientific reports · 2023Pooled it
- A Minimum Bayes Factor Based Threshold for Activation Likelihood Estimation.Neuroinformatics · 2023Pooled it
- Neural systems underlying RDoC social constructs: An activation likelihood estimation meta-analysis.Neuroscience and biobehavioral reviews · 2023Pooled it
132 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meta-analysis is an increasingly popular and valuable tool for summarizing results across many neuroimaging studies. It can be used to establish consensus on the locations of functional regions, test hypotheses developed from patient and animal studies and develop new hypotheses on structure-function correspondence. It is particularly valuable in neuroimaging because most studies do not adequately correct for multiple comparisons; based on statistical thresholds used, we estimate that roughly 10-20% of reported activations in published studies are false positives. In this article, we briefly summarize some of the most popular meta-analytic approaches and their limitations, and we outline a revised multilevel approach with increased validity for establishing consistency across studies. We also discuss multivariate methods by which meta-analysis can be used to develop and test hypotheses about co-activity of brain regions. Finally, we argue that meta-analyses can make a uniquely valuable contribution to predicting psychological states from patterns of brain activity, and we briefly discuss some methods for making such predictions.
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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.