Literature DB >> 27108619

Rapid automatized naming (RAN) in children with ADHD: An ex-Gaussian analysis.

Matthew Ryan1, Lisa A Jacobson1,2, Cole Hague1,3, Alison Bellows1, Martha B Denckla4,5, E Mark Mahone1,2.   

Abstract

Children with ADHD demonstrate increased frequent "lapses" in performance on tasks in which the stimulus presentation rate is externally controlled, leading to increased variability in response times. It is less clear whether these lapses are also evident during performance on self-paced tasks, e.g., rapid automatized naming (RAN), or whether RAN inter-item pause time variability uniquely predicts reading performance. A total of 80 children aged 9 to 14 years-45 children with attention-deficit/hyperactivity disorder (ADHD) and 35 typically developing (TD) children-completed RAN and reading fluency measures. RAN responses were digitally recorded for analyses. Inter-stimulus pause time distributions (excluding between-row pauses) were analyzed using traditional (mean, standard deviation [SD], coefficient of variation [CV]) and ex-Gaussian (mu, sigma, tau) methods. Children with ADHD were found to be significantly slower than TD children (p < .05) on RAN letter naming mean response time as well as on oral and silent reading fluency. RAN response time distributions were also significantly more variable (SD, tau) in children with ADHD. Hierarchical regression revealed that the exponential component (tau) of the letter-naming response time distribution uniquely predicted reading fluency in children with ADHD (p < .001, ΔR2 = .16), even after controlling for IQ, basic reading, ADHD symptom severity and age. The findings suggest that children with ADHD (without word-level reading difficulties) manifest slowed performance on tasks of reading fluency; however, this "slowing" may be due in part to lapses from ongoing performance that can be assessed directly using ex-Gaussian methods that capture excessively long response times.

Entities:  

Keywords:  Reading; childhood; development; dyslexia; executive function; processing speed

Mesh:

Year:  2016        PMID: 27108619      PMCID: PMC5077688          DOI: 10.1080/09297049.2016.1172560

Source DB:  PubMed          Journal:  Child Neuropsychol        ISSN: 0929-7049            Impact factor:   2.500


  34 in total

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2.  Brain anatomy, processing speed, and reading in school-age children.

Authors:  Christiana M Leonard; Pauline Low; Emily E Jonczak; Kaitlyn M Schmutz; Linda S Siegel; Christian Beaulieu
Journal:  Dev Neuropsychol       Date:  2011       Impact factor: 2.253

3.  Working memory influences processing speed and reading fluency in ADHD.

Authors:  Lisa A Jacobson; Matthew Ryan; Rebecca B Martin; Joshua Ewen; Stewart H Mostofsky; Martha B Denckla; E Mark Mahone
Journal:  Child Neuropsychol       Date:  2011       Impact factor: 2.500

Review 4.  Understanding the complex etiologies of developmental disorders: behavioral and molecular genetic approaches.

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Journal:  J Dev Behav Pediatr       Date:  2010-09       Impact factor: 2.225

5.  Performance lapses in children with attention-deficit/hyperactivity disorder contribute to poor reading fluency.

Authors:  Lisa A Jacobson; Matthew Ryan; Martha B Denckla; Stewart H Mostofsky; E Mark Mahone
Journal:  Arch Clin Neuropsychol       Date:  2013-07-09       Impact factor: 2.813

Review 6.  Do attention deficits influence IQ assessment in children and adolescents with ADHD?

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7.  Moderate variability in stimulus presentation improves motor response control.

Authors:  Ericka L Wodka; Daniel J Simmonds; E Mark Mahone; Stewart H Mostofsky
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8.  Response variability in rapid automatized naming predicts reading comprehension.

Authors:  James J Li; Laurie E Cutting; Matthew Ryan; Monica Zilioli; Martha B Denckla; E Mark Mahone
Journal:  J Clin Exp Neuropsychol       Date:  2009-02-17       Impact factor: 2.475

9.  Association of attention-deficit/hyperactivity disorder with a candidate region for reading disabilities on chromosome 6p.

Authors:  Jillian M Couto; Lissette Gomez; Karen Wigg; Abel Ickowicz; Tejaswee Pathare; Molly Malone; James L Kennedy; Russell Schachar; Cathy L Barr
Journal:  Biol Psychiatry       Date:  2009-04-11       Impact factor: 13.382

10.  Oculomotor anomalies in attention-deficit/hyperactivity disorder: evidence for deficits in response preparation and inhibition.

Authors:  E Mark Mahone; Stewart H Mostofsky; Adrian G Lasker; David Zee; Martha B Denckla
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-07       Impact factor: 8.829

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  6 in total

1.  Using ADHD Medications to Treat Coexisting ADHD and Reading Disorders: A Systematic Review.

Authors:  Tanya E Froehlich; Jason Fogler; William J Barbaresi; Nada A Elsayed; Steven W Evans; Eugenia Chan
Journal:  Clin Pharmacol Ther       Date:  2018-08-30       Impact factor: 6.875

2.  Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics.

Authors:  Nicolas Langer; Christopher Benjamin; Bryce L C Becker; Nadine Gaab
Journal:  Hum Brain Mapp       Date:  2019-02-19       Impact factor: 5.038

3.  Using inspection time and ex-Gaussian parameters of reaction time to predict executive functions in children with ADHD.

Authors:  Hilary Galloway-Long; Cynthia Huang-Pollock
Journal:  Intelligence       Date:  2018-07-02

4.  A preliminary investigation of reaction time variability in relation to social functioning in children evaluated for ADHD.

Authors:  Leanne Tamm; Jeffery N Epstein; Stephen P Becker
Journal:  Child Neuropsychol       Date:  2018-09-24       Impact factor: 2.500

5.  Planning processing in ADHD with comorbid reading disabilities is worse than in ADHD: Based on Das-Naglieri Cognitive Assessment System.

Authors:  Zunwei Zhang; Junyan Feng; Yang Xue; Feiyong Jia; Tiantian Wang
Journal:  Front Pediatr       Date:  2022-09-12       Impact factor: 3.569

6.  Pre-schoolers' visual perception and attention networks influencing naming speed: An individual difference perspective.

Authors:  Watthanaree Ammawat; Attapol Attanak; Suchada Kornpetpanee; Peera Wongupparaj
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  6 in total

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