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Is There a Functional Relation Between Set Shifting and Hyperactivity in Children with Attention-Deficit/Hyperactivity Disorder (ADHD)?

Published online by Cambridge University Press:  27 May 2020

Lauren N. Irwin
Affiliation:
Department of Psychology, Florida State University, Tallahassee, FL32306, USA
Nicole B. Groves
Affiliation:
Department of Psychology, Florida State University, Tallahassee, FL32306, USA
Elia F. Soto
Affiliation:
Department of Psychology, Florida State University, Tallahassee, FL32306, USA
Michael J. Kofler*
Affiliation:
Department of Psychology, Florida State University, Tallahassee, FL32306, USA
*
*Correspondence and reprint requests to: Michael J. Kofler, Department of Psychology, Florida State University, 1107 W. Call Street, Tallahassee, FL32306-4301, USA. Phone: +(850) 645-0656, Fax: +(850) 644-7739. E-mail: [email protected]

Abstract

Objective:

Replicated evidence indicates that children with attention-deficit/hyperactivity disorder (ADHD) show disproportionate increases in hyperactivity/physical movement when their underdeveloped executive functions are taxed. However, our understanding of hyperactivity’s relation with set shifting is limited, which is surprising given set shifting’s importance as the third core executive function alongside working memory and inhibition. The aim of this study was to experimentally examine the effect of imposing set shifting and inhibition demands on objectively measured activity level in children with and without ADHD.

Method:

The current study used a validated experimental manipulation to differentially evoke set shifting, inhibition, and general cognitive demands in a carefully phenotyped sample of children aged 8–13 years with ADHD (n = 43) and without ADHD (n = 34). Activity level was sampled during each task using multiple, high-precision actigraphs; total hyperactivity scores (THS) were calculated.

Results:

Results of the 2 × 5 Bayesian ANOVA for hyperactivity revealed strong support for a main effect of task (BF10 = 1.79 × 1018, p < .001, ω2 = .20), such that children upregulated their physical movement in response to general cognitive demands and set shifting demands specifically, but not in response to increased inhibition demands. Importantly, however, this manipulation did not disproportionally increase hyperactivity in ADHD as demonstrated by significant evidence against the task × group interaction (BF01 = 18.21, p = .48, ω2 = .002).

Conclusions:

Inhibition demands do not cause children to upregulate their physical activity. Set shifting produces reliable increases in children’s physical movement/hyperactivity over and above the effects of general cognitive demands but cannot specifically explain hyperactivity in children with ADHD.

Type
Regular Research
Copyright
Copyright © INS. Published by Cambridge University Press, 2020

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References

REFERENCES

Alderson, R.M., Rapport, M.D., Kasper, L.J., Sarver, D.E., & Kofler, M.J. (2012). Hyperactivity in boys with attention deficit/hyperactivity disorder (ADHD): The association between deficient behavioral inhibition, attentional processes, and objectively measured activity. Child Neuropsychology, 18(5), 487505.CrossRefGoogle ScholarPubMed
Ambulatory Monitoring. (2004). The Micromini Motionlogger Actigraph and Family of Recorders user’s Manual (3rd ed.). New York, NY: Author.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Pub.Google Scholar
Barkley, R.A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 6594.CrossRefGoogle ScholarPubMed
Chacko, A., Kofler, M., & Jarrett, M. (2014). Improving outcomes for youth with ADHD: A conceptual framework for combined neurocognitive and skill-based treatment approaches. Clinical Child and Family Psychology Review, 17(4), 368384.CrossRefGoogle ScholarPubMed
Dennis, M., Francis, D.J., Cirino, P.T., Schachar, R., Barnes, M. A., & Fletcher, J. M. (2009). Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders. Journal of the International Neuropsychological Society, 15(3), 331343.CrossRefGoogle Scholar
Gomez, R., & Sanson, A. (1994). Effects of experimenter and mother presence on the attentional performance and activity of hyperactive boys. Journal of Abnormal Child Psychology, 22, 517529.CrossRefGoogle ScholarPubMed
Hartanto, T.A., Krafft, C.E., Iosif, A.M., & Schweitzer, J.B. (2016). A trial-by-trial analysis reveals more intense physical activity is associated with better cognitive control performance in attention-deficit/hyperactivity disorder. Child Neuropsychology, 22(5), 618626.CrossRefGoogle ScholarPubMed
Hollingshead, A.B. (1975). Four Factor Index of Social Status. New Haven, CT: Yale.Google Scholar
Hudec, K.L., Alderson, R.M., Patros, C.H., Lea, S.E., Tarle, S.J., & Kasper, L.J. (2015). Hyperactivity in boys with attention-deficit/hyperactivity disorder (ADHD): The role of executive and non-executive functions. Research in Developmental Disabilities, 45, 103109.CrossRefGoogle ScholarPubMed
Irwin, L.N., Kofler, M.J., Soto, E.F., & Groves, N.B. (2019). Do children with attention-deficit/hyperactivity disorder (ADHD) have set shifting deficits?. Neuropsychology, 33(4), 470.CrossRefGoogle ScholarPubMed
JASP Team. (2017). JASP. Version 0.8.1. [computer software]Google Scholar
Karr, J.E., Areshenkoff, C.N., Rast, P., Hofer, S.M., Iverson, G.L., & Garcia-Barrera, M.A. (2018). The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies. Psychological Bulletin, 144(11), 1147.CrossRefGoogle ScholarPubMed
Kasper, L.J., Alderson, R.M., & Hudec, K.L. (2012). Moderators of working memory deficits in children with attention-deficit/hyperactivity disorder (ADHD): A meta-analytic review. Clinical Psychology Review, 32(7), 605617.CrossRefGoogle ScholarPubMed
Klein, C., Wendling, K., Huettner, P., Ruder, H., & Peper, M. (2006). Intra-subject variability in attention-deficit hyperactivity disorder. Biological Psychiatry, 60(10), 10881097.CrossRefGoogle ScholarPubMed
Kofler, M.J., Irwin, L.N., Soto, E.F., Groves, N.B., Harmon, S.L., & Sarver, D.E. (2019). Executive functioning heterogeneity in pediatric ADHD. Journal of Abnormal Child Psychology, 47(2), 273286.CrossRefGoogle ScholarPubMed
Kofler, M.J., Raiker, J.S., Sarver, D.E., Wells, E.L., & Soto, E.F. (2016). Is hyperactivity ubiquitous in ADHD or dependent on environmental demands? Evidence from meta analysis. Clinical Psychology Review, 46, 1224.CrossRefGoogle ScholarPubMed
Kofler, M.J., Rapport, M.D., Sarver, D.E., Raiker, J.S., Orban, S.A., Friedman, L.M., & Kolomeyer, E.G. (2013). Reaction time variability in ADHD: a meta-analytic review of 319 studies. Clinical Psychology Review, 33(6), 795811.CrossRefGoogle ScholarPubMed
Kofler, M.J., Sarver, D.E., & Wells, E.L. (2015). Working memory and increased activity level (hyperactivity) in ADHD: Experimental evidence for a functional relation. Journal of Attention Disorders, 1087054715608439.Google ScholarPubMed
Kofler, M.J., Spiegel, J.A., Austin, K.E., Irwin, L.N., Soto, E.F., & Sarver, D.E. (2018). Are episodic buffer processes intact in ADHD? Experimental evidence and linkage with hyperactive behavior. Journal of Abnormal Child Psychology, 46(6), 11711185.CrossRefGoogle ScholarPubMed
Lansbergen, M.M., Kenemans, J.L., & Van Engeland, H. (2007). Stroop interference and attention-deficit/hyperactivity disorder: A review and meta-analysis. Neuropsychology, 21(2), 251.CrossRefGoogle ScholarPubMed
Mahone, E.M. (2011). ADHD: Volumetry, motor, and oculomotor functions. In Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder and Its Treatment (pp. 1747). Berlin, Heidelberg: Springer.CrossRefGoogle Scholar
Mahone, E. M. & Hoffman, J. (2007). Behavior ratings of executive function among preschoolers with ADHD. The Clinical Neuropsychologist, 21(4), 569586.CrossRefGoogle ScholarPubMed
McCandless, S. & O’Laughlin, L. (2007). The clinical utility of the Behavior Rating Inventory of Executive Function (BRIEF) in the diagnosis of ADHD. Journal of Attention Disorders, 10(4), 381389.CrossRefGoogle ScholarPubMed
Miyake, A., Friedman, N.P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49100.CrossRefGoogle ScholarPubMed
Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9(3), 353383.CrossRefGoogle Scholar
Noldus Information Technology. (2012). The Observer XT Reference Manual. Wageningen, The Netherlands: Author.Google Scholar
Patros, C.H., Alderson, R.M., Hudec, K.L., Tarle, S.J., & Lea, S.E. (2017). Hyperactivity in boys with attention-deficit/hyperactivity disorder: The influence of underlying visuospatial working memory and self-control processes. Journal of Experimental Child Psychology, 154, 112.CrossRefGoogle ScholarPubMed
Poirel, N., Simon, G., Cassotti, M., Leroux, G., Perchey, G., Lanoe, C., …, Houde, O. (2011). The shift from local to global visual processing in 6-year-old children is associated with grey matter loss. PLoS ONE 6(6), e20879.CrossRefGoogle ScholarPubMed
Polanczyk, G., de Lima, M.S., Horta, B.L., Biederman, J., & Rohde, L.A. (2007). The worldwide prevalence of ADHD: A systematic review and metaregression analysis. American Journal of Psychiatry, 164(6), 942948.CrossRefGoogle ScholarPubMed
Polanczyk, G.V., Willcutt, E.G., Salum, G.A., Kieling, C., & Rohde, L.A. (2014). ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. International Journal of Epidemiology, 43(2), 434442.CrossRefGoogle ScholarPubMed
Rapport, M.D., Bolden, J., Kofler, M.J., Sarver, D.E., Raiker, J.S., & Alderson, R.M. (2009). Hyperactivity in boys with attention-deficit/hyperactivity disorder (ADHD): A ubiquitous core symptom or manifestation of working memory deficits?. Journal of Abnormal Child Psychology, 37(4), 521534.CrossRefGoogle ScholarPubMed
Rouder, J.N., Morey, R.D., Speckman, P.L., & Province, J.M. (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356374.CrossRefGoogle Scholar
Sarver, D.E., Rapport, M.D., Kofler, M.J., Raiker, J.S., & Friedman, L.M. (2015). Hyperactivity in attention-deficit/hyperactivity disorder (ADHD): Impairing deficit or compensatory behavior?. Journal of Abnormal Child Psychology, 43(7), 12191232.CrossRefGoogle ScholarPubMed
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 & Adolescent Psychiatry, 49, 345355.Google ScholarPubMed
Toplak, M.E., Bucciarelli, S.M., Jain, U., & Tannock, R. (2008). Executive functions: Performance-based measures and the behavior rating inventory of executive function (BRIEF) in adolescents with attention deficit/hyperactivity disorder (ADHD). Child Neuropsychology, 15(1), 5372.CrossRefGoogle Scholar
Tryon, W.W., Pinto, L.P., & Morrison, D.F. (1991). Reliability assessment of pedometer activity measurements. Journal of Psychopathology and Behavioral Assessment, 13(1), 2744.CrossRefGoogle Scholar
Wagenmakers, E.J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., … Meerhoff, F. (2016a). Bayesian inference for psychology. part II: Example applications with JASP. Psychonomic Bulletin & Review, 119.Google Scholar
Wagenmakers, E.J., Morey, R.D., & Lee, M.D. (2016b). Bayesian benefits for the pragmatic researcher. Current Directions in Psychological Science, 25(3), 169176.CrossRefGoogle Scholar
Wechsler, D. (2014). Wechsler Intelligence Scale for Children-Fourth/Fifth Edition. San Antonio: Pearson.Google Scholar
Willcutt, E.G., Nigg, J.T., Pennington, B.F., Solanto, M.V., Rohde, L.A., Tannock, R., … Lahey, B.B. (2012). Validity of DSM-IV attention deficit/hyperactivity disorder symptom dimensions and subtypes. Journal of Abnormal Psychology, 121(4), 991.CrossRefGoogle ScholarPubMed