ArticleJournal of the American Academy of Child and Adolescent Psychiatry2021
Computational Modeling of Attentional Impairments in Disruptive Mood Dysregulation and Attention-Deficit/Hyperactivity Disorder.
Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Understanding irritability through the lens of self-regulatory control processes in children and adolescents: a systematic review.European child & adolescent psychiatry · 2025Pooled it
- Annual Research Review: What processes are dysregulated among emotionally dysregulated youth? - a systematic review.Journal of child psychology and psychiatry, and allied disciplines · 2025Pooled it
- Diagnostic instruments for the assessment of disruptive mood dysregulation disorder: a systematic review of the literature.European child & adolescent psychiatry · 2023Pooled it
- Machine learning-based screening model for Tic disorders comorbid with attention-deficit/hyperactivity disorder in children and SHAP value interpretation: a retrospective observational study.Scientific reports · 2026Observational
- From symptom-based heterogeneity to mechanism-based profiling in youth ADHD: the promise of computational psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Psychometrics of drift-diffusion model parameters derived from the Eriksen flanker task: Reliability and validity in two independent samples.Cognitive, affective & behavioral neuroscience · 2025Article
- Evidence Accumulation and Neural Correlates of Uncertainty in Obsessive-Compulsive Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Neurocognitive and adaptive phenotypes in adolescent inpatients with mood disorders: an exploratory study on disruptive mood dysregulation disorder in the framework of depressive disorders.Frontiers in psychiatry · 2023Article
- The Impact of Irritability and Callous Unemotional Traits on Reward Positivity in Youth with ADHD and Conduct Problems.Research on child and adolescent psychopathology · 2022Article
- Rationale and validation of a novel mobile application probing motor inhibition: Proof of concept of CALM-IT.PloS one · 2021Article
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7 authors.
Funding
Abstract
objectiveComputational models provide information about cognitive components underlying behavior. When applied to psychopathology-relevant processes, they offer additional insight to observed differences in behavioral performance. Drift diffusion models have been successfully applied to investigate processing efficiency during binary choice tasks. Using these models, we examine the association between psychopathology (irritability and inattention/hyperactivity) and processing efficiency under different attentional demands.
methodA total of 187 youths with attention-deficit/hyperactivity disorder (ADHD), disruptive mood dysregulation disorder (DMDD), both disorders, or no major psychopathology (age, mean ± SD, 13.09 ± 2.55 y, 34% female) completed an Eriksen Flanker task. Of these, 87 youths provided complete data on dimensional measures of the core symptom of DMDD (irritability) and those of ADHD (inattention and hyperactivity).
resultsIn a categorical diagnosis-based analysis (n = 187), we found significant interactive effects among ADHD, DMDD, and task condition on processing efficiency, whereby changes in processing efficiency between conflict and nonconflict conditions were larger in youths without psychopathology compared with patients. Analysis of symptom severity (n = 87) across diagnoses similarly revealed an interaction between symptom dimensions and task condition on processing efficiency. Irritability moderated the magnitude of association between inattention symptoms and difference in processing efficiency between conflict and nonconflict conditions.
conclusionAdapting processing efficiency to cognitive demands may represent a shared cognitive endophenotype for both ADHD and DMDD. Highly irritable and/or inattentive youth may have difficulty adjusting processing efficiency to changing task demands, possibly reflecting impairments in cognitive flexibility.
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