Profiles of cognitive ability domains in children with and without ADHD symptoms
DOI:
https://doi.org/10.22364/bjp.23.07Keywords:
ADHD, cognitive ability domains, executive functions, cognitive deficit, typically developed childrenAbstract
Studies to date have most often compared the mean scores of an ADHD and control group to see if there are differences between them. Various cluster or linear data processing methods have also been used in studies to group children into certain subgroups according to various characteristics, but so far we have not found any study that has succeeded in dividing both ADHD and control group children into such subgroups. Results vary from study to study. Therefore, the aim of this study was to investigate and compare the heterogeneity of different cognitive ability domains in children with and without ADHD symptoms with qualitative data analysis methods - creating unique profiles of cognitive ability domains for each child. In this study participated 76 children aged 8–13 and were divided into two groups: ADHD group – 46 children (M = 10.08; SD = 1.67), control group – 30 children (M = 9.41; SD = 1.60). Four methods were used to calculate cognitive ability domain scores: Stroop’s Word and Color Test, Symbol Digit Modalities Test, Digit Span Test, and Continuous Performance Test. The analysis of the profiles revealed a wide heterogeneity in both groups. Also, it was observed in these profiles that children with ADHD experience had more pronounced difficulties in cognitive ability domains compared to the control group. At the same time, it can be concluded that not all children with ADHD experience them. Comparing profiles of children from either of these two groups it can be concluded that some of the children with ADHD symptoms have profiles similar to typically developing children.
References
Aben, B., Stapert, S., & Blokland, A. (2012). About the Distinction between Working Memory and Short-Term Memory. Frontiers in Psychology, 3, 301.
Alloway, T. P., Gathercole, S. E., Willis, C., & Adams, A.-M. (2004). A structural analysis of working memory and related cognitive skills in young children. Journal of Experimental Child Psychology, 87(2), 85–106.
American Psychiatric Asociation. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th Edition). https://doi.org/10.1176/appi.books.9780890425596.
Banich, M. T. (2009). Executive Function: The Search for an Integrated Account. Current Directions in Psychological Science, 18(2), 89–94.
Beblo, T., Macek, C., Brinkers, I., Hartje, W., & Klaver, P. (2004). A new approach in clinical neuropsychology to the assessment of spatial working memory: The block suppression test. Journal of Clinical and Experimental Neuropsychology, 26(1), 105–114.
Bergwerff, C. E., Luman, M., Weeda, W. D., & Oosterlaan, J. (2019). Neurocognitive Profiles in Children With ADHD and Their Predictive Value for Functional Outcomes. Journal of Attention Disorders, 23(13), 1567–1577.
Castellanos, F. X., & Tannock, R. (2002). Neuroscience of attention-deficit/hyperactivity disorder: The search for endophenotypes. Nature Reviews. Neuroscience, 3(8), 617–628.
Conners, C. K., Sitarenios, G., Parker, J. D., & Epstein, J. N. (1998). Revision and restandardization of the Conners Teacher Rating Scale (CTRS-R): Factor structure, reliability, and criterion validity. Journal of Abnormal Child Psychology, 26(4), 279–291.
Cortese, S. (2012). The neurobiology and genetics of Attention-Deficit/Hyperactivity Disorder (ADHD): What every clinician should know. European Journal of Paediatric Neurology: EJPN: Official Journal of the European Paediatric Neurology Society, 16(5), 422–433.
Costa Dias, T. G., Iyer, S. P., Carpenter, S. D., Cary, R. P., Wilson, V. B., Mitchell, S. H., Nigg, J. T., & Fair, D. A. (2015). Characterizing heterogeneity in children with and without ADHD based on reward system connectivity. Developmental Cognitive Neuroscience, 11, 155–174.
Depue, B. E., Burgess, G. C., Willcutt, E. G., Ruzic, L., & Banich, M. T. (2010). Inhibitory Control of Memory Retrieval and Motor Processing Associated with the Right Lateral Prefrontal Cortex: Evidence from Deficits in Individuals with ADHD. Neuropsychologia, 48(13), 3909–3917.
Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64, 135–168.
Eldreth, D. A., Patterson, M. D., Porcelli, A. J., Biswal, B. B., Rebbechi, D., & Rypma, B. (2006). Evidence for multiple manipulation processes in prefrontal cortex. Brain Research, 1123(1), 145–156.
Fair, D. A., Bathula, D., Nikolas, M. A., & Nigg, J. T. (2012). Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD. Proceedings of the National Academy of Sciences, 109(17), 6769–6774.
Faul, F., Erdfelder, E., Buchner, A., Lang, A. G. (2009). Statistical Power Analyses Using G*Power 3.1: Tests for Correlation and Regression Analyses. Behavior research methods, 41, 1149–60.
Fisher, A. V. (2019). Selective sustained attention: A developmental foundation for cognition. Current Opinion in Psychology, 29, 248–253.
Fried, E. I., & Nesse, R. M. (2015). Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study. Journal of Affective Disorders, 172, 96–102.
Gathercole, S. E., Pickering, S. J., Ambridge, B., & Wearing, H. (2004). The Structure of Working Memory From 4 to 15 Years of Age. Developmental Psychology, 40(2), 177–190.
Hale, S., Bronik, M. D., & Fry, A. (1997). Verbal and spatial working memory in school-age children: Developmental differences in susceptibility to interference. Developmental Psychology.
Jarrold, C., & Towse, J. N. (2006). Individual differences in working memory. Neuroscience, 139(1), 39–50.
Karalunas, S., Geurts, H., Konrad, K., Bender, S., & Nigg, J. (2014). Annual Research Review: Reaction time variability in ADHD and autism spectrum disorders: Measurement and mechanisms of a proposed transdiagnostic phenotype. Journal of Child Psychology and Psychiatry, 55.
Karalunas, S. L., & Nigg, J. T. (2020). Heterogeneity and Subtyping in Attention-Deficit/Hyperactivity Disorder–Considerations for Emerging Research Using Person-Centered Computational Approaches. Biological Psychiatry, 88(1), 103–110.
Kofler, M. J., Soto, E. F., Fosco, W. D., Irwin, L. N., Wells, E. L., & Sarver, D. E. (2019). Working memory and information processing in ADHD: Evidence for directionality of effects. Neuropsychology.
Low, E., Crewther, S. G., Ong, B., Perre, D., & Wijeratne, T. (2017). Compromised Motor Dexterity Confounds Processing Speed Task Outcomes in Stroke Patients. Frontiers in Neurology, 8.
Nigg, J. T. (2006). Temperament and developmental psychopathology. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 47(3–4), 395–422.
Nigg, J. T., & Casey, B. J. (2005). An integrative theory of attention-deficit/ hyperactivity disorder based on the cognitive and affective neurosciences. Development and Psychopathology, 17(3), 785–806.
Nigg, J. T., Stavro, G., Ettenhofer, M., Hambrick, D. Z., Miller, T., & Henderson, J. M. (2005). Executive functions and ADHD in adults: Evidence for selective effects on ADHD symptom domains. Journal of Abnormal Psychology, 114(4), 706–717.
Pereiro, A. X., Juncos-Rabadán, O., & M. Soledad, R. (2008). Processing Speed, Inhibitory Control, and Working Memory: Three Important Factors to Account for Age-Related Cognitive Decline. International Journal of Aging & Human Development, 66, 115–130.
Raiker, J., Rapport, M., Kofler, M., & Sarver, D. (2012). Objectively-Measured Impulsivity and Attention-Deficit/Hyperactivity Disorder (ADHD): Testing Competing Predictions from the Working Memory and Behavioral Inhibition Models of ADHD. Journal of Abnormal Child Psychology, 40, 699–713.
Rosales, A., Vitoratou, S., Banaschewski, T., Asherson, P., Buitelaar, J., Oades, R. D., Rothenberger, A., Steinhausen, H.-C., Faraone, S. V., & Chen, W. (2015). Are all the 18 DSM-IV and DSM-5 criteria equally useful for diagnosing ADHD and predicting comorbid conduct problems? European Child & Adolescent Psychiatry, 24(11), 1325–1337.
Rubia, K., Halari, R., Christakou, A., & Taylor, E. (2009). Impulsiveness as a timing disturbance: Neurocognitive abnormalities in attention-deficit hyperactivity disorder during temporal processes and normalization with methylphenidate. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364(1525), 1919–1931.
Sibley, M. H., Pelham, W. E., Molina, B. S. G., Gnagy, E. M., Waschbusch, D. A., Garefino, A. C., Kuriyan, A. B., Babinski, D. E., & Karch, K. M. (2012). Diagnosing ADHD in adolescence. Journal of Consulting and Clinical Psychology, 80(1), 139–150.
Silk, T. J., Malpas, C. B., Beare, R., Efron, D., Anderson, V., Hazell, P., Jongeling, B., Nicholson, J. M., & Sciberras, E. (2019). A network analysis approach to ADHD symptoms: More than the sum of its parts. PLoS ONE, 14(1), e0211053.
Smith, A. (1968) The Symbol-Digit Modalities Test: A Neuropsychologic Test of Learning and Other Cerebral Disorders. In: Learning Disorders, Special Child Publications, Seattle, 83–91.
Sonuga-Barke, E., Bitsakou, P., & Thompson, M. (2010). Beyond the Dual Pathway Model: Evidence for the Dissociation of Timing, Inhibitory, and Delay-Related Impairments in Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 49, 345–355.
Sonuga-Barke, E. J. S. (2002). Psychological heterogeneity in AD/HD--a dual pathway model of behaviour and cognition. Behavioural Brain Research, 130(1–2), 29–36.
Sonuga-Barke, E. J. S. (2005). Causal Models of Attention-Deficit/Hyperactivity Disorder: From Common Simple Deficits to Multiple Developmental Pathways. Biological Psychiatry, 57(11), 1231–1238.
Sonuga-Barke, E. J. S., Sergeant, J. A., Nigg, J., & Willcutt, E. (2008). Executive dysfunction and delay aversion in attention deficit hyperactivity disorder: Nosologic and diagnostic implications. Child and Adolescent Psychiatric Clinics of North America, 17(2), 367–384, ix.
Sørensen, L., von Plessen, K., Adolfsdottir, S., & Lundervold, A. (2013). The specificity of the Stroop interference score of errors to ADHD in boys. Child Neuropsychology : A Journal on Normal and Abnormal Development in Childhood and Adolescence, 20.
Steinhausen, H.-C. (2009). The heterogeneity of causes and courses of attention-deficit/hyperactivity disorder. Acta Psychiatrica Scandinavica, 120(5), 392–399.
Strauss, E., Sherman, E., & Spreen, O. (2006). Compendium of Neuropsychological Tests: Administration, Norms, and Commentary (Third Edition). Oxford University Press.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662.
Terman, L. M. (1916). The measurement of intelligence (pp. xiii, 374). Houghton, Mifflin and Company.
Vanags, E., Bezborodovs, Ņ., Riekstiņa, L., Zelčs, A., Ūlupe, L., Skara, D., Vecgrāve, A., Celmiņa, M., & Strautmanis, J. (in press). Cognitive abilities in children with ADHD, comorbid epilepsy and ADHD and typically developed children. 80th International Scientific Conference of the UL, Riga.
Van Hulst, B., Zeeuw, P., & Durston, S. (2014). Distinct neuropsychological profiles within ADHD: A latent class analysis of cognitive control, reward sensitivity and timing. Psychological Medicine, 45, 1–11.
Willcutt, E. G. (2012). The prevalence of DSM-IV attention-deficit/hyperactivity disorder: A meta-analytic review. Neurotherapeutics: The Journal of the American Society for Experimental NeuroTherapeutics, 9(3), 490–499.
Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., & Pennington, B. F. (2005). Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review. Biological Psychiatry, 57(11), 1336–1346.
World Health organization. (2019). International Statistical Classification of Diseases and Related Health Problems (11th ed.).
Zimprich, D., & Kurtz, T. (2013). Individual differences and predictors of forgetting in old age: The role of processing speed and working memory. Aging, Neuropsychology and Cognition, 20(2), 195–219.
