ArticleResearch on child and adolescent psychopathology2024
The Relationship Between Emotion Dysregulation and Error Monitoring in Adolescents with ADHD.
Article in Research on child and adolescent psychopathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Effects of physical exercise on anxiety depression and emotion regulation in children with attention deficit hyperactivity disorder: a systematic review and meta-analysis.Frontiers in pediatrics · 2024Pooled it
- Reproducible Temperament Profiles in Adolescents With Attention-Deficit/Hyperactivity Disorder Prospectively Predict Clinical Outcomes.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Reaction Time Variability and Electrophysiological Indices of Performance Monitoring in Youths With Attention-Deficit/Hyperactivity Disorder and Obsessive-Compulsive Disorder.Psychophysiology · 2026Article
- Dissociable Patterns of Atypical Error Monitoring in Developmental Dyslexia and Attention Deficit Hyperactivity Disorder.Brain sciences · 2026Article
- The Evolving ADHD Phenotype in the Externalizing Context.The American journal of psychiatry · 2026Review
- Reproducible structure with measurement invariance for the Parent-Report Early Adolescent Temperament Questionnaire: Findings from three independent samples.Psychological assessment · 2025Article
- Article
- The neurobehavioral correlates of error processing in adult attention-deficit/hyperactivity disorder and their relationship with impulsivity.Clinical neurophysiology practice · 2025Article
- The N270 as an index of consumer commodity color preference in the S1-S2 paradigm.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is emblematic of the limitations of existing diagnostic categories. One potential solution, consistent with the Research Domain Criteria (RDoC) initiative, is to interrogate psychological mechanisms at the behavioral and physiological level together to try and identify meaningful subgroups within existing categories. Such approaches provide a way to revise diagnostic boundaries and clarify individual variation in mechanisms. Here, we illustrate this approach to help resolve heterogeneity in ADHD using a combination of behaviorally-rated temperament measures from the Early Adolescent Temperament Questionnaire; cognitive performance on three difference conditions of an emotional go/no-go task; and electroencephalogram (EEG)-measured variation in multiple stages of error processing, including the error-related negativity (ERN) and positivity (Pe). In a large (N = 342), well-characterized sample of adolescents with ADHD, latent profile analysis identified two ADHD temperament subgroups: 1) emotionally regulated and 2) emotionally dysregulated (with high negative affect). Cognitive and EEG assessment in a subset of 272 adolescents (nADHD = 151) found that the emotionally dysregulated group showed distinct patterns of change in early neural response to errors (ERN) across emotional task conditions as compared to emotionally-regulated ADHD adolescents and typically-developing controls. Both ADHD groups showed blunted later response to errors (Pe) that was stable across emotional task conditions. Overall, neural response patterns identified important differences in how trait and state emotion interact to affect cognitive processing. Results highlight important temperament variation within ADHD that helps clarify its relationship to the ERN, one of the most prominent putative neural biomarkers for psychopathology.
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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.