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Speed, speed variability, and accuracy of information processing in 5 to 6-year-old children at risk of ADHD

Published online by Cambridge University Press:  11 April 2005

ARIANE C. KALFF ,
LEO M.J. DE SONNEVILLE ,
PETRA P.M. HURKS ,
JOS G.M. HENDRIKSEN ,
MARIELLE KROES ,
FRANS J.M. FERON ,
JEAN STEYAERT ,
THEA M.C.B. VAN ZEBEN ,
JOHAN S.H. VLES  and
JELLE JOLLES.
ARIANE C. KALFF
Affiliation:
Department of Psychiatry and Neuropsychology, University Hospital of Maastricht, The Netherlands
LEO M.J. DE SONNEVILLE
Affiliation:
Department of Pediatrics, Vrije Universiteit–Medical Center of Amsterdam
PETRA P.M. HURKS
Affiliation:
Department of Psychiatry and Neuropsychology, University Hospital of Maastricht, The Netherlands
JOS G.M. HENDRIKSEN
Affiliation:
Department of Neurology, University Hospital of Maastricht, The Netherlands
MARIELLE KROES
Affiliation:
Department of Neurology, University Hospital of Maastricht, The Netherlands
FRANS J.M. FERON
Affiliation:
Youth Health Care, Municipal Health Centre, Maastricht, The Netherlands
JEAN STEYAERT
Affiliation:
Department of Psychiatry and Neuropsychology, University Hospital of Maastricht, The Netherlands
THEA M.C.B. VAN ZEBEN
Affiliation:
Department of Pediatrics, University Hospital of Maastricht, The Netherlands
JOHAN S.H. VLES
Affiliation:
Department of Neurology, University Hospital of Maastricht, The Netherlands
JELLE JOLLES.
Affiliation:
Department of Psychiatry and Neuropsychology, University Hospital of Maastricht, The Netherlands
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Abstract

The early assessment of Attention-Deficit/Hyperactivity Disorder (ADHD) children has mainly focused on the behavioral, social, and pre-academic impairments. This study examined whether 5 to 6-year-old children at risk of ADHD are characterized by information-processing deficits. By screening 1,317 children in Southern Limburg (the Netherlands) with the Child Behavior Checklist, 363 were selected and underwent a computerized examination. Eighteen months later, standardized psychiatric information was obtained. Thirty-three ADHD children were compared with 75 borderline ADHD children, 122 pathological controls, and 133 healthy controls. ADHD and borderline ADHD children were slower and more variable in their processing speed on all tasks than children with no or other pathology. These differences were most pronounced for the divided and focused attention tasks. Furthermore, one measure of a state regulation deficit discriminated between groups. With regard to accuracy, only the proportion of misses on a go–no-go task was higher in the ADHD group than in the other groups. Evidence was found that ADHD is better seen as a continuum rather than a discrete category. Already at a young age, children at risk of ADHD show specific information-processing deficits. Deficits in time perception and/or energetic state control in children with ADHD may possibly account for subnormal task performance. (JINS, 2005, 11, 173–183.)

Keywords

ADHDKindergarten-ageinformation-processing deficits; ANT program
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 11 , Issue 2 , March 2005 , pp. 173 - 183
Copyright
© 2005 The International Neuropsychological Society

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References

REFERENCES

American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (Rev. 3rd ed.). Washington, DC: Author.
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.
Aylward, E.H., Reiss, A.L., Reader, M.J., Singer, H.S., Brown, J.E., & Denckla, M.B. (1996). Basal ganglia volumes in children with attention-deficit hyperactivity disorder. Journal of Child Neurology, 11, 112–115.Google Scholar
Barkley, R.A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 65–94.Google Scholar
Barkley, R.A. (1998). Attention-Deficit/Hyperactivity Disorder. A Handbook for Diagnosis and Treatment (2nd ed.). London: Guilford.
Berger, A. & Posner, M.I. (2000). Pathologies of brain attentional networks. Neuroscience and Biobehavioral Reviews, 24, 3–5.Google Scholar
Berquin, P.C., Giedd, J.N., Jacobsen, L.K., Hamburger, S.D., Krain, A.C., Rapoport, J.L., & Castellanos, F.X. (1998). Cerebellum in attention-deficit hyperactivity disorder: A morphometric MRI study. Neurology, 50, 1087–1093.Google Scholar
Berlin, L. & Bohlin, G. (2002). Response inhibition, hyperactivity, and conduct problems among preschool children. Journal of Clinical Child Psychology, 31, 242–251.Google Scholar
Bleichrodt, N., Drenth, P.J.D., Zaal, J.N., & Resing, W.C.M. (1987). RAKIT: Handleiding bij de Revisie Amsterdamse Kinder Intelligentie Test [Manual of the revised Amsterdam intelligence test for children]. Lisse, The Netherlands: Swets & Zeitlinger.
Börger, N. & Van der Meere, J. (2000). Motor control and state regulation in children with ADHD: A cardiac response study. Biological Psychology, 51, 247–267.Google Scholar
Brodeur, D.A. & Pond, M. (2001). The development of selective attention in children with Attention-Deficit/Hyperactivity Disorder. Journal of Abnormal Child Psychology, 29, 229–239.Google Scholar
Byrne, J.M., DeWolfe, N.A., & Bawden, H.N. (1998). Assessment of Attention-Deficit/Hyperactivity Disorder in preschoolers. Child Neuropsychology, 4, 49–66.Google Scholar
Campbell, S.B. & Ewing, L.J. (1990). Follow-up of hard-to-manage preschoolers: Adjustment at age 9 and predictors of continuing symptoms. Journal of Child Psychology and Psychiatry, 31, 871–889.Google Scholar
Carter, C.S., Krener, P., Chaderjian, M., Northcutt, C., & Wolfe, V. (1995). Abnormal processing of irrelevant information in Attention-Deficit/Hyperactivity Disorder. Psychiatry Research, 56, 59–70.Google Scholar
Casey, B.J., Castellanos, F.X., Giedd, J.N., Marsh, W.L., Hamburger, S.D., Schubert, A.B., Vauss, Y.C., Vaituzis, A.C., Dickstein, D.P., Safatti, S.E., & Rapoport, J.L. (1997). Implication of right frontostriatal circuitry in response inhibition and attention deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 36, 374–383.Google Scholar
Corkum, P.V., Byrne, J.M., & Ellsworth, C. (1995). Clinical assessment of sustained attention in preschoolers. Child Neuropsychology, 1, 3–18.Google Scholar
Corkum, P.V. & Siegel, L.S. (1993). Is the Continuous Performance Task a valuable research tool for use with children with Attention-Deficit/Hyperactivity Disorder? Journal Child Psychology and Psychiatry Allied Disciplines, 34, 1217–1239.Google Scholar
Cunningham, C.E. & Boyle, M.H. (2002). Preschoolers at risk for Attention-Deficit Hyperactivity Disorder and Oppositional Defiant Disorder: Family, parenting, and behavioral correlates. Journal of Abnormal Child Psychology, 30, 555–569.Google Scholar
De Sonneville, L.M.J. (1999). Amsterdam Neuropsychological Tasks: A computer-aided assessment program. In B.P.L.M. Den Brinker, P.J. Beek, A.N. Brand, S.J. Maarse, & L.J.M. Mulder (Eds.), Cognitive ergonomics, clinical assessment and computer-assisted learning: Computers in psychology (pp. 187–203). Lisse, The Netherlands: Swets & Zeitlinger.
De Sonneville, L.M.J., Njiokiktjien, C., & Bos, H. (1994). Methylphenidate and information processing: I. Differentiation between responders and nonresponders: II. Efficacy in responders. Journal of Clinical and Experimental Neuropsychology, 16, 877–897.Google Scholar
De Sonneville, L.M.J., Visser, M., & Licht, R. (1999). Attention and information processing in 4- and 5-year-old children: Results of a computerized assessment technique. In B.P.L.M. Den Brinker, P.J. Beek, A.N. Brand, S.J. Maarse, & L.J.M. Mulder (Eds.), Cognitive Ergonomics, Clinical Assessment and Computer-Assisted Learning: Computers in Psychology (pp. 204–217). Lisse, The Netherlands: Swets & Zeitlinger.
Directoraat-Generaal voor de Arbeidsvoorziening (DGA). (1989). Handleiding voor de functie analyze [Manual functional analysis]. SDU Uitgeverij; The Netherlands: The Hague.
DuPaul, G.J., McGoey, K.E., Eckert, T.L., & vanBrakle, J. (2001). Preschool children with Attention Deficit/Hyperactivity Disorder: Impairments in behavioral, social, and school functioning. Journal of the American Academy of Child and Adolescent Psychiatry, 40, 508–515.Google Scholar
Gomez, R., Harvey, J., Quick, C., Scharer, I., & Harris, G. (1999). DSM–IV AD/HD: Confirmatory factor models, prevalence, and gender and age differences based on parent and teacher ratings of Australian primary school children. Journal of Child Psychology and Psychiatry, 40, 265–274.Google Scholar
Gray, J.A. (1982). The neuropsychology of anxiety: An inquiry into the functions of the septo-hippocampal system. Oxford, England UK: Clarendon Press.
Groot, A.S., de Sonneville, L.M.J., Stins, J.F., & Boomsma, D.I. (2004). Familial influences on sustained attention and inhibition in preschoolers. Journal of Child Psychology and Psychiatry, 45, 306–314.Google Scholar
Hagelthorn, K.M., Heimenz, J.R., Pillion, J.P., & Mahone, E.M. (2003). Age and task parameters in continuous performance tests for preschoolers. Perceptual and Motor Skills, 96, 975–989.Google Scholar
Herjanic, B. & Reich, W. (1982). Development of a structured psychiatric interview for children: Agreement between child and parent in individual symptoms. Journal of Abnormal Child Psychology, 10, 307–324.Google Scholar
Hinton, V.J., De Vivo, D.C., Nereo, N.E., Goldstein, E., & Stern, Y. (2001). Selective deficits in verbal working memory associated with a known genetic etiology: The neuropsychological profile of Duchenne muscular dystrophy. Journal of the International Neuropsychological Society, 7, 45–54.Google Scholar
Hockey, G.R. (1997). Compensatory control in the regulation of human performance under stress and high workload: A cognitive energetical framework. Biological Psychology, 45, 73–93.Google Scholar
Hughes, C., Dunn, J., & White, A. (1998). Trick or treat?: Uneven understanding of mind and emotion and executive dysfunction in hard-to-manage preschoolers. Journal of Child Psychology and Psychiatry, 39, 981–994.Google Scholar
Kadesjö, B. & Gillberg, C. (2001). The comorbidity of ADHD in the general population of Swedish school-age children. Journal of Child Psychology and Psychiatry, 42, 487–492.Google Scholar
Kalff, A.C., Kroes, M., Vles, J.S.H., Bosma, H., Feron, F.J.M., Hendriksen, J.G.M., Steyeart, J., van Zeben, T.M.C.B., Crolla, I.F.A.M., & Jolles, J. (2001). Factors affecting the relationship between parental education as well as occupation and problem behavior in Dutch 5- to-6-year-old children. Social Psychiatry and Psychiatric Epidemiology, 36, 324–331.Google Scholar
Kroes, M., Kalff, A.C., Steyaert, J., Kessels, A.G.H., Feron, F.J.M., van Someren, A.J.W.G.M., Hurks, P.P.M., Hendriksen, J.G.M., van Zeben, T.M.C.B., Rozendaal, N., Crolla, I.F.A.M., Jolles, J., Troost, J., & Vles, J.S.H. (2001). Child psychiatric diagnoses generalized to a population of Dutch school children aged 6 to 8 years. Journal of the American Academy of Child and Adolescent Psychiatry, 40, 1401–1409.Google Scholar
Korn, E.L. & Graubard, B.I. (1999). Analysis of Health Survey. New York: Wiley Interscience.
Kortenbout van der Sluijs, M.J., Levita, D.J., Manen, R., & Defares, P.B. (1993). Amsterdams Diagnostisch Interview voor Kinderen en Adolescenten (ADIKA) [Amsterdam Diagnostic Interview for Children and Adolescents]. Lisse, The Netherlands: Swets & Zeitlinger.
Kuntsi, J., Oosterlaan, J., & Stevenson, J. (2001). Psychological mechanism in hyperactivity: I Response inhibition deficit, working memory impairment, delay aversion, or something else? Journal of Child Psychology and Psychiatry, 42, 199–210.Google Scholar
Levy, F., Hay, D.A., McStephen, M., Wood, C., & Waldman, I. (1997). Attention-deficit hyperactivity disorder: A category or a continuum? Genetic analysis of a large-scale twin study. Journal of the American Academy of Child and Adolescent Psychiatry, 36, 737–744.Google Scholar
Mahone, E.M., Koth, C.W., Cutting, L., Singer, H.S., & Denckla, M.B. (2001). Executive function in fluency and recall measures among children with Tourette syndrome or ADHD. Journal of International Neuropsychological Society, 7, 102–111.Google Scholar
Marakovitz, S.E. & Campbell, S.B. (1998). Inattention, impulsivity, and hyperactivity from preschool to school age: Performance of hard-to-manage boys on laboratory measures. Journal of Child Psychology and Psychiatry, 39, 841–851.Google Scholar
Mariani, M.A. & Barkley, R.A. (1997). Neuropsychological and academic functioning in preschool boys with Attention Deficit Hyperactivity Disorder. Developmental Neuropsychology, 13, 111–129.Google Scholar
McGee, R., Partridge, F., Williams, S., & Silva, P.A. (1991). A twelve-year follow-up of preschool hyperactive children. Journal of the American Academy of Child and Adolescent Psychiatry, 30, 224–232.Google Scholar
McGuinness, D. & Pribram, K.H. (1980). The neuropsychology of attention: Emotional and motivational controls. In M.C. Wittrock (Ed.), The brain and psychology. New York: Academic Press.
Mostofsky, S.H., Newschaffer, C.J., & Denckla, M.B. (2003a). Overflow movements predict impaired response inhibition in children with ADHD. Perception and Motor Skills, 97, 315–331.Google Scholar
Mostofsky, S.H., Abrams, M.T., Schafer, J.G.B., Goldberg, M.C., Courtney, S.M., Calhoun, V.D., Kraut, M.A., Denckla, M.B., & Pekar, J.J. (2003b). fMRI evidence that the neural basis of response inhibition is task-dependent. Cognitive Brain Research, 17, 419–430.Google Scholar
Oosterlaan, J. & Sergeant, J.A. (1996). Inhibition in ADHD, aggressive, and anxious children: A biologically based model of child psychopathology. Journal of Abnormal Child Psychology, 24, 19–36.Google Scholar
Paule, M.G., Rowland, A.S., Ferguson, S.A., Chelonis, J.J., Tannock, R., Swanson, J.M., & Castellanos, F.X. (2000). Attention deficit/hyperactivity disorder: Characteristics, interventions, and models. Neurotoxicology and Teratology, 22, 631–651.Google Scholar
Pennington, B.F. & Ozonoff, S. (1996). Executive functions and developmental psychopathology. Journal of Child Psychology and Psychiatry, 37, 51–87.Google Scholar
Pierce, E.W., Ewing, L.J., & Campbell, S.B. (1999). Diagnostic status and symptomatic behavior of hard-to-manage preschool children in middle childhood and early adolescence. Journal of Clinical Child Psychology, 28, 44–57.Google Scholar
Prather, P.A., Sarmento, N., & Alexander, A. (1995). Development of vigilance in preschoolers [Abstract]. Journal of the International Neuropsychological Society, 1, 153.Google Scholar
Reich, W. (2000). Diagnostic Interview for Children and Adolescents (DICA). Journal of the American Academy of Child and Adolescent Psychiatry, 39, 59–66.Google Scholar
Rozendaal, N. (1998). Handleiding computer algoritme ADIKA. Maastricht, The Netherlands: Vakgroep Psychiatrie en Neuropsychologie, Universiteit Maastricht.
Schneider, W. & Schriffrin, R.M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 1–66.Google Scholar
Sergeant, J.A., Oosterlaan, J., & van der Meere, J. (1999). Information processing and energetic factors in attention deficit/hyperactivity disorder. In C. Quay & A. Hogan (Eds.), Handbook of disruptive behavior disorders (pp. 75–104). Plenum: New York.
Slaats-Willemse, D.S., Swaab-Barneveld, H., de Sonneville, L., van der Meulen, E., & Buitelaar, J. (2003). Deficient response inhibition as a cognitive endophenotype of ADHD. Journal of the American Academy for Child and Adolescent Psychiatry, 42, 1242–1248.Google Scholar
Sonuga-Barke, E.J.S., Dalen, L., Daley, D., & Remington, B. (2002). Are planning, working memory, and inhibition associated with individual differences in preschool ADHD symptoms? Developmental Neuropsychology, 21, 255–272.Google Scholar
Stuss, D., Murphy, K.J., Binns, M.A., & Alexander, M.P. (2003). Staying on the job: The frontal lobes control individual performance variability. Brain, 126, 2363–2380.Google Scholar
Swaab-Barneveld, H., De Sonneville, L., Cohen-Kettenis, P., Gielen, A., Buitelaar, J., & Van Engeland, H. (2000). Visual sustained attention in a child psychiatric population. Journal of the American Academy of Child and Adolescent Psychiatry, 39, 651–659.Google Scholar
Swanson, J., Castellanos, F.X., Murias, M., Lahoste, G., & Kennedy, J. (1998). Cognitive neuroscience of attention deficit hyperactivity disorder and hyperkinetic disorder. Current Opinion of Neurobiology, 8, 263–271.Google Scholar
Van Grimbergen, I., Célestin-Westreich, S., & Ponjaert-Kristofferson, I. (1999). Validering van ADIKA-IV (deel externaliserend gedrag) bij een klinische populatie kinderen tussen 6 en 18 jaar [Validation of ADIKA-IV (externalising part) in a clinical child population aged 6–18 years]. Paper presented at the second Flemish Congress of Child- and Adolescent Psychiatry and Psychotherapy, Leuven, Belgium.
Verhulst, F.C., Koot, J.M., & Van der Ende, J. (1996). Handleiding voor de CBCL (Child Behavior Checklist) [Manual for the CBCL]. Afdeling Kinder- en Jeugdpsychiatrie, Sophia Kinderziekenhuis/Academisch Ziekenhuis Rotterdam/Erasmus Universiteit Rotterdam.