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Child Neuropsychology
A Journal on Normal and Abnormal Development in Childhood and Adolescence
Volume 27, 2021 - Issue 6
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Research Article

Slow drift rate predicts ADHD symptomology over and above executive dysfunction

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Pages 834-855 | Received 16 Nov 2020, Accepted 08 Mar 2021, Published online: 23 Mar 2021
 

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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Disclosure statement

The authors declare no potential conflicts of interest.

Additional information

Funding

This work was supported by the National Institude of Mental Health under Grant [R01 MH084987].

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