ArticleChild neuropsychology : a journal on normal and abnormal development in childhood and adolescence2021
Slow drift rate predicts ADHD symptomology over and above executive dysfunction.
Article in Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 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
7 citing papers in PubMed, 11 citations in OpenAlex.
- Longitudinal analysis of decision-making deficits in binge-eating disorders using drift diffusion modeling.Appetite · 2026Article
- A diffusion model analysis of task set inertia and task set reconfiguration in ADHD.Journal of the International Neuropsychological Society : JINS · 2026Article
- 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
- Elongated tau in an ex-Gaussian decomposition of vocal articulation speed in children with attention deficit hyperactivity disorder.Neuropsychology · 2025Article
- Psychometrics of drift-diffusion model parameters derived from the Eriksen flanker task: Reliability and validity in two independent samples.Cognitive, affective & behavioral neuroscience · 2025Article
- Preferential Choice to Exert Cognitive Effort in Children with ADHD: a Diffusion Modelling Account.Research on child and adolescent psychopathology · 2023Article
- Mechanism-based groups of children with ADHD are associated with distinct domains of impairment.Psychiatry research · 2023Article
Corrections and comments
- Erratum issuedCorrection.2021
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Slow drift rate has become one of the most salient cognitive deficits among children with ADHD, and has repeatedly been found to explain slow, variable, and error-prone performance on tasks of executive functioning (EF). The present study applies the diffusion model to determine whether slow drift rate better predicts parent and teacher ratings of ADHD than standard EF metrics. 201 children aged 8-12 completed two tests of speeded decision-making analyzed with the diffusion model and two traditionally scored tests of EF. Latent EF and drift rate factors each independently predicted the general ADHD factor in a bifactor model of ADHD, with poor EF and slow drift rate associated with greater ADHD symptomology. When both EF and drift rate were entered into the model, slow drift rate (but not EF) continued to predict elevated symptomology. These findings suggest that using drift rate to index task performance improves upon conventional approaches to measuring and conceptualizing cognitive dysfunction in ADHD. Implications for future cognitive research in ADHD are discussed.
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