ArticleHuman brain mapping2021
BACON: A tool for reverse inference in brain activation and alteration.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 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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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
10 citing papers in PubMed, 4 syntheses or guidelines pooled 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
- Meta-analytic connectivity perturbation analysis (MACPA): a new method for enhanced precision in fMRI connectivity analysis.Brain structure & function · 2024Pooled it
- A Minimum Bayes Factor Based Threshold for Activation Likelihood Estimation.Neuroinformatics · 2023Pooled it
- Sex differences in brain homotopic co-activations: a meta-analytic study.Brain structure & function · 2022Pooled it
- Extracting Weight of Evidence fromBrain sciences · 2026Article
- Dyadic Similarity in Social Value Orientation Modulates Hyper-Brain Network Dynamics During Interpersonal Coordination: An fNIRS-Based Hyperscanning Study.Brain topography · 2024Article
- Coordinate-Based Meta-Analyses of the Time Perception Network.Advances in experimental medicine and biology · 2024Review
- Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research.Psychology research and behavior management · 2024Review
- Selectivity of timing: A meta-analysis of temporal processing in neuroimaging studies using activation likelihood estimation and reverse inference.Frontiers in human neuroscience · 2022Article
- BACON: A tool for reverse inference in brain activation and alteration.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Over the past decades, powerful MRI-based methods have been developed, which yield both voxel-based maps of the brain activity and anatomical variation related to different conditions. With regard to functional or structural MRI data, forward inferences try to determine which areas are involved given a mental function or a brain disorder. A major drawback of forward inference is its lack of specificity, as it suggests the involvement of brain areas that are not specific for the process/condition under investigation. Therefore, a different approach is needed to determine to what extent a given pattern of cerebral activation or alteration is specifically associated with a mental function or brain pathology. In this study, we present a new tool called BACON (Bayes fACtor mOdeliNg) for performing reverse inference both with functional and structural neuroimaging data. BACON implements the Bayes' factor and uses the activation likelihood estimation derived-maps to obtain posterior probability distributions on the evidence of specificity with regard to a particular mental function or brain pathology.
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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.