ReviewPsychology research and behavior management2024
Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research.
Review in Psychology research and behavior management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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
7 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- AES-SDM meta-analysis of spontaneous brain activity in cerebral small vessel disease.BMC medical imaging · 2026Pooled it
- A resting-state functional magnetic resonance imaging meta-analysis of differences in brain activity between children and adolescents with attention-deficit/hyperactivity disorder using activation likelihood estimation.European child & adolescent psychiatry · 2026Pooled it
- Altered Neural Activity in Adolescent Major Depressive Disorder With Nonsuicidal Self-Injury: A Resting-State Functional Magnetic Resonance Imaging Meta-Analysis.Neural plasticity · 2025Pooled it
- The research progress on effective connectivity in adolescent depression based on resting-state fMRI.Frontiers in neurology · 2025Pooled it
- Activation likelihood estimation of convergent resting-state brain alterations in diarrhea-predominant IBS: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2026Article
- Extracting Weight of Evidence fromBrain sciences · 2026Article
- Vulnerable brain regions in adolescent attention deficit hyperactivity disorder: An activation likelihood estimation meta-analysis.World journal of psychiatry · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Over the past two decades, functional magnetic resonance imaging (fMRI) has become the primary tool for exploring neural correlates of emotion. To enhance the reliability of results in understanding the complex nature of emotional experiences, researchers combine findings from multiple fMRI studies using coordinate-based meta-analysis (CBMA). As one of the most widely employed CBMA methods worldwide, activation likelihood estimation (ALE) is of great importance in affective neuroscience and neuropsychology. This comprehensive review provides an introductory guide for implementing the ALE method in emotion research, outlining the experimental steps involved. By presenting a case study about the emotion of disgust, with regard to both its core and social processing, we offer insightful commentary as to how ALE can enable researchers to produce consistent results and, consequently, fruitfully investigate the neural mechanisms underpinning emotions, facilitating further progress in this field.
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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.