ArticleHuman brain mapping2021
Brain-wide inferiority and equivalence tests in fMRI group analyses: Selected applications.
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 19 papers.
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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
19 citing papers in PubMed.
- Feasibility of training the dorsolateral prefrontal-striatal network by real-time fMRI neurofeedback.Scientific reports · 2022Trial
- Orbitofrontal and Medial Frontal Gray Matter Volumes Are Associated With Hyperactivity Traits in 2548 Nonclinical Adults.Human brain mapping · 2026Article
- Tetrix: A novel Tetris-based paradigm for neuroimaging research and clinical applications.Behavior research methods · 2026Article
- Article
- The long-term correlates of developmental stress on whole-brain functional connectivity during emotion regulation.Translational psychiatry · 2025Article
- Neural representation of sensorimotor features in language-motor areas during auditory and visual perception.Communications biology · 2025Article
- Seeing speech: Neural mechanisms of cued speech perception in prelingually deaf and hearing users.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Utilizing fMRI to Guide TMS Targets: the Reliability and Sensitivity of fMRI Metrics at 3 T and 1.5 T.Neuroinformatics · 2024Article
- Impact of NPSR1 gene variation on the neural correlates of phasic and sustained fear in spider phobia-an imaging genetics and independent replication approach.Social cognitive and affective neuroscience · 2024Article
- Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems.Journal of proteome research · 2024Article
- Ventromedial frontoinsular connectivity is associated with long-term smoking behavior change in aging.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Structural brain changes in emotion recognition across the adult lifespan.Social cognitive and affective neuroscience · 2023Article
- No evidence from a negative mood induction fMRI task for frontal functional asymmetry as a suitable neurofeedback target.Scientific reports · 2023Article
- Using preregistration as a tool for transparent fNIRS study design.Neurophotonics · 2023Article
- Evidence for the Normalization Effects of Medication for Opioid Use Disorder on Functional Connectivity in Neonates with Prenatal Opioid Exposure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Frontoparietal and Default Mode Network Contributions to Self-Referential Processing in Social Anxiety Disorder.Cognitive, affective & behavioral neuroscience · 2022Article
- Alteration in the Functional Organization of the Default Mode Network Following Closed Non-severe Traumatic Brain Injury.Frontiers in neuroscience · 2022Article
- Neural cue reactivity is not stronger in male than in female patients with alcohol use disorder.Frontiers in behavioral neuroscience · 2022Article
- Brain-wide inferiority and equivalence tests in fMRI group analyses: Selected applications.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Null hypothesis significance testing is the major statistical procedure in fMRI, but provides only a rather limited picture of the effects in a data set. When sample size and power is low relying only on strict significance testing may lead to a host of false negative findings. In contrast, with very large data sets virtually every voxel might become significant. It is thus desirable to complement significance testing with procedures like inferiority and equivalence tests that allow to formally compare effect sizes within and between data sets and offer novel approaches to obtain insight into fMRI data. The major component of these tests are estimates of standardized effect sizes and their confidence intervals. Here, we show how Hedges' g, the bias corrected version of Cohen's d, and its confidence interval can be obtained from SPM t maps. We then demonstrate how these values can be used to evaluate whether nonsignificant effects are really statistically smaller than significant effects to obtain "regions of undecidability" within a data set, and to test for the replicability and lateralization of effects. This method allows the analysis of fMRI data beyond point estimates enabling researchers to take measurement uncertainty into account when interpreting their findings.
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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.