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Assessing the Contribution of Measures of Attention and Executive Function to Diagnosis of ADHD or Autism

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Abstract

Attention and executive function (EF) dysregulation are common in a number of disorders including autism and attention-deficit/hyperactivity disorder (ADHD). Better understanding of the relationship between indirect and direct measures of attention and EF and common neurodevelopmental diagnoses may contribute to more efficient and effective diagnostic assessment in childhood. We obtained cognitive (NIH Toolbox, Little Man Task, Matrix Reasoning Task, and Rey Delayed Recall) and symptom (CBCL, and BPMT) assessment data from the Adolescent Brain and Cognitive Development (ABCD) database for three groups, autistic (N = 110), ADHD (N = 878), and control without autism or ADHD diagnoses (N = 9130) and used ridge regression to determine which attention and EF assessments were most strongly associated with autism or ADHD. More variance was accounted for in the model for the ADHD group (31%) compared to the autism group (2.7%). Finally, we ran odds ratios (using clinical cutoffs where available and 2 standard deviations below the mean when not) for each assessment measure, which generally demonstrated a greater significance within the indirect measures when compared to the direct measures. These results add to the growing literature of symptom variably across diagnostic groups allowing for better understanding of presentations in autism and ADHD and how best to assess diagnosis. It also highlights the increased difficulty in differentiating autism and controls when compared to ADHD and controls and the importance of indirect measures of attention and EF in this differentiation.

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Abbreviations

ADHD:

Attention-Deficit Hyperactivity Disorder

ABCD:

Adolescent Brain and Cognitive Development

EF:

Executive Function

CBCL:

Childhood Behavioral Checklist

BPMT:

Brief Problem Monitoring Teacher Report

KSAD:

Kiddie Score for Affective Disorders and Schizophrenia

RAVLT:

Rey Auditory Verbal Learning Test

References

  • Achenbach, T.M., and L.A. Rescorla. 2001. (2001). Manual for the ASEBA School-Age Forms & Profiles.University of Vermont, Research Center for Children, Youth, & Families. Burlington

  • Bonnelle, V., et al. (2011). Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. Journal of Neuroscience, 31(38), 13442–13451.

    Article  CAS  Google Scholar 

  • Bowler, D. M., Limoges, E., & Mottron, L. (2009). Different verbal learning strategies in Autism spectrum disorder: Evidence from the rey auditory verbal learning test. Journal of Autism and Developmental Disorders, 39(6), 910–915.

    Article  Google Scholar 

  • Boxhoorn, S., et al. (2018). Attention profiles in autism spectrum disorder and subtypes of attention-deficit/hyperactivity disorder. European Child and Adolescent Psychiatry, 27(11), 1433–1447. https://doi.org/10.1007/s00787-018-1138-8

    Article  Google Scholar 

  • Clark, B., & Bélanger, S. A. (2018). ADHD in children and youth: Part 3-assessment and treatment with comorbid ASD, ID, or prematurity. Paediatrics and Child Health (Canada), 23(7), 485–490.

    Article  Google Scholar 

  • Dellapiazza, F., et al. (2021). Clinical characteristics of children with ASD and comorbid ADHD: Association with social impairment and externalizing and internalizing behaviours. Research in Developmental Disabilities, 113(103930), 2023. https://doi.org/10.1016/j.ridd.2021.103930

    Article  Google Scholar 

  • Dickson, K. S., Suhrheinrich, J., Rieth, S. R., & Stahmer, A. C. (2018). Parent and teacher concordance of child outcomes for youth with Autism spectrum disorder. Journal of Autism and Developmental Disorders, 48(5), 1423.

    Article  PubMed Central  Google Scholar 

  • Dugbartey, A. T., et al. (1999). WAIS-III matrix reasoning test performance in a mixed clinical sample. Clinical Neuropsychologist, 13(4), 396–404.

    Article  CAS  Google Scholar 

  • Earle, William James. 2014. “DSM-5.” Philosophical Forum.

  • Farhat, L. C., et al. (2022). ADHD and Autism symptoms in youth: A network analysis. Journal of Child Psychology and Psychiatry and Allied Disciplines, 63(2), 143–151.

    Article  PubMed  Google Scholar 

  • Feil, E. G., et al. (2016). Early intervention for preschoolers at risk for attention-deficit/hyperactivity disorder: Preschool first step to success. Behavioral Disorders, 41(2), 95–106.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gómez-Pérez, M., Mar, M. D., Calero, S. M., & Molinero, C. (2016). Discrepancies between direct and Indirect measures of interpersonal and neurocognitive skills in Autism spectrum disorder children. Journal of Clinical and Experimental Neuropsychology, 38(8), 875–886. https://doi.org/10.1080/13803395.2016.1170106

    Article  PubMed  Google Scholar 

  • Harpin, V., et al. (2016). Long-term outcomes of ADHD: A systematic review of self-esteem and social function. Journal of Attention Disorders, 20(4), 295–305.

    Article  CAS  PubMed  Google Scholar 

  • Hollingdale, J., et al. (2020). Autistic spectrum disorder symptoms in children and adolescents with attention-deficit/hyperactivity disorder: A meta-analytical review. Psychological Medicine, 50(13), 2240–2253.

    Article  PubMed  Google Scholar 

  • Karcher, N. R., & Barch, D. M. (2021). The ABCD study: Understanding the Development of risk for mental and physical health outcomes. Neuropsychopharmacology, 46(1), 131–142. https://doi.org/10.1038/s41386-020-0736-6

    Article  PubMed  Google Scholar 

  • Koch, J., & Exner, C. (2015). Selective attention deficits in obsessive-compulsive disorder: The role of metacognitive processes. Psychiatry Research, 224(3), 550–555.

    Article  Google Scholar 

  • Krakowski, A. D., et al. (2020). Inattention and hyperactive/impulsive component scores do not differentiate between Autism spectrum disorder and attention-deficit/hyperactivity disorder in a clinical sample. Mol Autism, 11(1), 1–13.

    Article  Google Scholar 

  • Kushki, A., et al. (2019). Examining overlap and homogeneity in ASD, ADHD, and OCD: A Data-driven, diagnosis-agnostic approach. Translational Psychiatry. https://doi.org/10.1038/s41398-019-0631-2

    Article  PubMed  PubMed Central  Google Scholar 

  • Lang, R., et al. (2010). Influence of Assessment setting on the results of functional analyses of problem behavior. Journal of Applied Behavior Analysis, 43(3), 565–567.

    Article  MathSciNet  PubMed  PubMed Central  Google Scholar 

  • Luciana, M., et al. (2018). Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery. Developmental Cognitive Neuroscience, 32, 67–79. https://doi.org/10.1016/j.dcn.2018.02.006

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mick, E., Biederman, J., Pandina, G., & Faraone, S. V. (2003). A Preliminary Meta-Analysis of the Child Behavior Checklist in Pediatric Bipolar Disorder. Biological Psychiatry (pp. 1021–1027). Elsevier Inc.

    Google Scholar 

  • Petty, C. R., et al. (2008). The child behavior checklist broad-band scales predict subsequent psychopathology: A 5-year follow-up. Journal of Anxiety Disorders, 22(3), 532–539.

    Article  PubMed  Google Scholar 

  • Piper, B. J., Gray, H. M., Raber, J., & Birkett, M. A. (2014). Reliability and validity of brief problem monitor, an abbreviated form of the child behavior checklist. Psychiatry and Clinical Neurosciences, 68(10), 759–767.

    Article  PubMed Central  Google Scholar 

  • Pollak, Y., Kahana-Vax, G., & Hoofien, D. (2008). Retrieval processes in adults with ADHD: A RAVLT study. Developmental Neuropsychology, 33(1), 62–73.

    Article  CAS  PubMed  Google Scholar 

  • Rey, A. 1964. “Rey Auditory Verbal Learning Test (AVLT).” The Clinical Examination in Psychology.

  • Rey, J. M., Schrader, E., & Morris-Yates, A. (1992). Parent-child agreement on children’s behaviours reported by the child behaviour checklist (CBCL). Journal of Adolescence, 15(3), 219–230.

    Article  CAS  Google Scholar 

  • Shaw, M., et al. (2012). A systematic review and analysis of long-term outcomes in attention deficit hyperactivity disorder: effects of treatment and non-treatment. BMC Medicine. https://doi.org/10.1186/1741-7015-10-99

    Article  PubMed  PubMed Central  Google Scholar 

  • Toplak, M. E., West, R. F., & Stanovich, K. E. (2013). Practitioner review: Do performance-based measures and ratings of executive function assess the same construct? Journal of Child Psychology and Psychiatry, 54(2), 131–143.

    Article  Google Scholar 

  • Tureck, K., et al. (2013). Investigation of the rates of comorbid symptoms in children with ADHD compared to children with ASD. Journal of Developmental and Physical Disabilities, 25(4), 405–417.

    Article  Google Scholar 

  • Vakil, E., Blachstein, H., Wertman-Elad, R., & Greenstein, Y. (2012). Verbal learning and memory as measured by the rey-auditory verbal learning test: ADHD with and without learning disabilities. Child Neuropsychology, 18(5), 449–466.

    Article  PubMed  Google Scholar 

  • van Steensel, F. J. A., Bögels, S. M., & de Bruin, E. I. (2013). Psychiatric comorbidity in children with Autism spectrum disorders: A comparison with children with ADHD. Journal of Child and Family Studies, 22(3), 368–376.

    Article  Google Scholar 

  • Weintraub, S., et al. (2013). Cognition assessment using the NIH toolbox. American Academy of Neurology, 80(11 Suppl 3), S54–S64.

    Google Scholar 

  • Williams, R. G., Klamen, D. A., & McGaghie, W. C. (2003). Cognitive, social and environmental sources of bias in clinical performance ratings. Teaching and Learning in Medicine, 15(4), 270–292.

    Article  PubMed  Google Scholar 

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Funding

This study was supported by the Alberta Children’s Hospital Foundation and the Owerko Centre at the Alberta Children’s Hospital Research Institute.

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Authors

Contributions

KH: Conceptualization, Methodology, Formal Analysis, Data Curation, Writing – Original Draft, Writing – Review & Editing, Visualization SB: Conceptualization, Methodology, Writing – Review & Editing, Supervision CMD: Writing – Review & Editing DD: Writing – Review & Editing KM: Conceptualization, Methodology, Resources, Writing – Review & Editing, Supervision.

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Correspondence to Kelsey Harkness.

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Harkness, K., Bray, S., Durber, C.M. et al. Assessing the Contribution of Measures of Attention and Executive Function to Diagnosis of ADHD or Autism. J Autism Dev Disord (2024). https://doi.org/10.1007/s10803-024-06275-9

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