Trial reportJournal of the American Academy of Child and Adolescent Psychiatry2022
A Randomized Controlled Trial of Computerized Interpretation Bias Training for Disruptive Mood Dysregulation Disorder: A Fast-Fail Study.
Trial report in Journal of the American Academy of Child and Adolescent Psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 16 papers, 1 of them a synthesis 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.
Psychological Treatments for Youth With Severe Irritability
Neurocognitive Targets of Hostile Interpretation Bias Training to Treat Irritability
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review with meta-analysis of cognitive bias modification interventions for anger and aggression.Behaviour research and therapy · 2023Pooled it
- An Exposure-Based Cognitive-Behavioral Therapy for Youth with Severe Irritability: Feasibility and Preliminary Efficacy.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Trial
- Autistic Symptoms and Empathy in Adolescents With Disruptive Mood Dysregulation and Those With Bipolar Disorders.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026Article
- Experimental Therapeutics: Opportunities and Challenges Stemming From the National Institute of Mental Health Workshop on Novel Target Discovery and Psychosocial Intervention Development.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025Article
- Review: Evidence-Based Psychosocial Treatments for Childhood Irritability and Aggressive Behavior.JAACAP open · 2025Review
- Asymmetric transfer between the learning of the complex stimulus.Frontiers in neuroscience · 2025Article
- An investigation of the neural basis of anger attributions in irritable youth.Emotion (Washington, D.C.) · 2024Article
- Article
- Selecting an Ecological Momentary Assessment Platform: Tutorial for Researchers.Journal of medical Internet research · 2024Article
- Effect of facial emotion recognition learning transfers across emotions.Frontiers in psychology · 2024Article
- Novel mechanism-based treatments for pediatric anxiety and depressive disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- A Computational Model Reveals Learning Dynamics During Interpretation Bias Training With Clinical Applications.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Review: Defining Positive Emotion Dysregulation: Integrating Temperamental and Clinical Perspectives.Journal of the American Academy of Child and Adolescent Psychiatry · 2023Review
- Mediating effect of amygdala activity on response to fear vs. happiness in youth with significant levels of irritability and disruptive mood and behavior disorders.Frontiers in behavioral neuroscience · 2023Review
- Trait anger and negative interpretation bias in neutral face perception.Frontiers in psychology · 2023Article
- Emotional Recognition Training Enhances Attention to Emotional Stimuli Among Male Juvenile Delinquents.Psychology research and behavior management · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
objectiveTo examine targeted, mechanism-based interventions is the next generation of treatment innovation. Biased threat labeling of ambiguous face emotions (interpretation bias) is a potential behavioral treatment target for anger, aggression, and irritability. Changing biases in face-emotion labeling may improve irritability-related outcomes. Here, we report the first randomized, double-blind, placebo-controlled targeted trial of interpretation bias training (IBT) in youths with chronic, severe irritability.
methodPatients with current disruptive mood dysregulation disorder (DMDD; N = 44) were randomly assigned to complete 4 sessions of active (n = 22) or sham (n = 22) computerized IBT training within a 1-week period. The first and last trainings were completed onsite, and 2 trainings were completed at home. We examined the effects of active IBT on labeling bias, primary outcome measures of irritability, and secondary outcome measures of anxiety, depression, and functional impairment. Follow-up assessments were completed immediately after the intervention as well as 1 and 2 weeks later.
resultsWe found that active IBT engaged the behavioral target in the active relative to the sham condition, as shown by a significant shift toward labeling ambiguous faces as happy. However, there was no consistent clinical improvement in active IBT relative to the sham condition either immediately after or 2 weeks after training in either the primary or secondary outcome measures.
conclusionAlthough this randomized controlled trial of IBT in youths with DMDD engaged the proposed behavioral target, there was no statistically significant improvement on clinical outcome. Identifying and changing behavioral targets is a first step in novel treatment development; these results have broader implications for target-based intervention development. CLINICAL TRIAL REGISTRATION INFORMATION: Psychological Treatments for Youth With Severe Irritability; https://clinicaltrials.gov/; NCT02531893.
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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.