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Computerized Stroop Test to Assess Selective Attention in Children with Attention Deficit Hyperactivity Disorder

Published online by Cambridge University Press:  10 April 2014

Ellen Carolina dos Santos Assef ,
Alessandra Gotuzo Seabra Capovilla  and
Fernando Cesar Capovilla
Ellen Carolina dos Santos Assef
Affiliation:
Universidade São Francisco, Brazil
Alessandra Gotuzo Seabra Capovilla*
Affiliation:
Universidade São Francisco, Brazil
Fernando Cesar Capovilla
Affiliation:
Universidade de São Paulo, Brazil
*
Correspondence concerning this article should be sent to Alessandra Gotuzo Seabra Capovilla, Post-Graduate Program Strict Sense in Psychology of the University of Sao Francisco, Av. Alexandre Rodrigues Barbosa, 45 - Centro - Itatiba – SP, CEP 13251-900 (Brazil). Phone: 55 11 4534-8040. Fax: 55 11 4524-1933. E-mail: [email protected], [email protected]
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Abstract

Research shows abnormal function of the pre-frontal cortex in Attention Deficit Hyperactivity Disorder (ADHD). This cortex is involved in the control of executive functions related to planning and execution of goal-oriented strategies, working memory, inhibitions, cognitive flexibility, and selective attention. Selective attention involves focus on the target stimulus, ignoring competing distractions. The Stroop Test (Stroop, 1935) is usually used to evaluate selective attention. This study investigated whether children with ADHD could exhibit modified performance in the Stroop Test. Using a computerized version of this test (Capovilla, Montiel, Macedo, & Charin, 2005), the study compared the reaction times (RTs) of 62 Brazilian children, between 8 and 12 years of age, 31 of whom were diagnosed with ADHD and sent to psychiatric clinics, and 31 without ADHD studying in regular schools. All children with ADHD satisfied the criteria of the DSM-IV-TR and were evaluated with the Conners Abbreviated Questionnaire (Goyette, Conners, & Ulrich, 1978), completed by parents and teachers. The results revealed that children with ADHD exhibit greater interference in RT than children without ADHD. This corroborated the hypothesis that children with ADHD exhibit a deficit in selective attention, consisting in augmented RTs, as measured by the Computerized Stroop Test.

La investigación ha mostrado la función anormal del córtex prefrontal en el trastorno de déficit de atención con hiperactividad (TDAH). Este córtex está implicado en el control de las funciones ejecutivas relacionadas con la planificación y ejecución de estrategias orientadas a objetivos, la memoria de trabajo, las inhibiciones, la flexibilidad cognitiva y la atención selectiva. La atención selectiva implica centrarse en el estímulo diana, ignorando las distracciones que compiten para la atención. Normalmente se emplea la prueba Stroop (Stroop, 1935) para evaluar la atención selectiva. En este estudio se investigó si le ejecución en la prueba Stroop de niños con TDAH podría sufrir modificaciones. Empleando una versión informatizada de esta prueba (Capovilla, Montiel, Macedo y Charin, 2005), el estudio comparó los tiempos de reacción (TR) de 62 niños brasileños, con edades entre los 8 y los 12 años, de los cuales 31 fueron diagnosticados de TDAH y estaban en clínicas psiquiátricas, y 31 sin TDAH que estudiaban en colegios normales. Todos los niños con TDAH cumplían los criterios del DSM-IV-TR y fueron evaluados con el Cuestionario Abreviado de Conners (Goyette, Conners y Ulrich, 1978), cumplimentado por padres y profesores. Los resultados revelaron que los niños con TDAH mostraron más interferencia en TR que los niños sin TDAH. Esto corroboró la hipótesis de que los niños con TDAH exhiben un déficit en la atención selectiva, que consiste en TR aumentados, tal y como se miden con la Prueba Stroop Informatizada.

Keywords

Stroop TestADHDneuropsychologyselective attentionexecutive functionsPrueba StroopTDAHneuropsicologíaatención selectivafunciones ejecutivas
Type
Articles
Information
The Spanish Journal of Psychology , Volume 10 , Issue 1 , May 2007 , pp. 33 - 40
Copyright
Copyright © Cambridge University Press 2007

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References

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders 4th ed. text revision. Washington, D.C.: American Psychiatric Association. (Translation: C. Dornelles, Porto Alegre, RS: Artmed, 2002.).Google Scholar
Andrade, E.R., & Scheuer, C. (2004). Analysis of the efficacy of methylphenidate using the abbreviated Conners questionnaire in attention deficit hyperactivity disorder. Neuropsychiatric Archives, 62, 81–85.Google ScholarPubMed
Araújo, C. (2004). Neuropsychiatric evaluation of attention. In Valle, L.E.L.R. & Capovilla, F.C. (Eds.), Multidisciplinary themes in neuropsychology and learning (pp. 501–505). Ribeirão Preto, São Paulo: Tecmedd.Google Scholar
Barbosa, G.A., & Gouveia, V.V. (1993). The hyperactivity factor in the Conners Questionnaire: Conceptual validity and diagnostic standards. Themes, 46, 188–202.Google Scholar
Barkley, R.A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 65–94.CrossRefGoogle ScholarPubMed
Barnett, R., Maruff, P., Vance, A., Luk, E. S. L., Costin, J., Wood, C., & Pantelis, C. (2001). Abnormal executive function in attention deficit hyperactivity disorder: The effect of stimulant medication and age on spatial working memory. Psychological Medicine, 31, 114–121.CrossRefGoogle ScholarPubMed
Benczik, E.B.P. (2000). Manual of the Scale for the Attention Deficit Hyperactivity Disorder: Teachers' version. São Paulo: House of Psychology Editor.Google Scholar
Bisquerra, R., Sarriera, J.C., & Matínez, F. (2004). Introduction to statistics: Computerized focus on the statistical package SPSS. Porto Alegre, RS: Artmed.Google Scholar
Bush, G., Frazier, J.A., Rauch, S.L., Seidman, L.J., Whalen, P.J., Jenike, M.A., Rosen, B.R., & Biederman, J. (1999). Anterior cingulate cortex dysfunction in attention-deficit/hyperactivity disorder revealed by MRI and the Counting Stroop. Biological Psychiatry, 45, 1542–1552.CrossRefGoogle ScholarPubMed
Bush, G., Luu, P., & Posner, M. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences, 4, 215–222.CrossRefGoogle ScholarPubMed
Capovilla, A.G.S., Montiel, J.M., Macedo, E.C., & Charin, S. (2005). Computerized Stroop Test. Itatiba, São Paulo: University São Francisco.Google Scholar
Carter, C. S., Krener, P., Chaderjian, M., Nortycutt, C., & Wolfe, V. (1995). Asymmetrical visual-spatial attentional performance in ADHD: Evidence for a right hemispheric deficit. Biological Psychiatry, 37, 789–797.CrossRefGoogle ScholarPubMed
Cozza, H.F.P (2005). Evaluation of executive function in children and correlation with attention and hyperactivity. Doctoral dissertation. University São Francisco, Itatiba, São Paulo.Google Scholar
Damásio, A.R. (1995). El error de Descartes [Descartes' error]. Barcelona: Grijalbo Mondadori. (Translation: D. Vicente & G. Segurado, São Paulo: Companhia das Letras, 1996.).Google Scholar
Freire, A.C.C., & Pondé, M.P. (2005). Pilot study of prevalence in attention deficit hyperactivity disorder among school children in the city of Salvador. Neuro-Psychiatric Archives, 63, 474–478.Google Scholar
Gazzaniga, M.S., Ivry, R.B., & Mangun, G.R. (2002). Cognitive neuroscience: The biology of the mind. New York: Norton.Google Scholar
Gil, R. (1999). Neuropsicología [Neuropsychology]. Barcelona: Masson. (Translation: M.A.A.S. Doria. São Paulo: Editora Santos, 2002).Google Scholar
Goldberg, E. (2001). The executive brain: Frontal lobes and the civilized mind. Oxford, UK: Oxford University Press. (Translation: R. Fiker & M.E. Fiker, Rio de Janeiro: Imago Editor, 2002)Google Scholar
Goyette, C.H., Conners, C.K., & Ulrich, R.F. (1978). Normative data in revised Conners Parent and Teacher Rating Scales. Journal of Abnormal Child Psychology, 6, 221–36.CrossRefGoogle ScholarPubMed
Houghton, S., Douglas, G., West, J., Whithing, K., Wall, M., Langsford, S., Powell, L., & Carroll, A. (1999). Differential patterns of executive function in children with attention deficit hyperactivity disorder according to gender and subtype. Journal of Child Neurology, 14, 801–805.CrossRefGoogle ScholarPubMed
Kerns, J. G., & Berenbaum, H. (2003). The relationship between formal thought disorder and executive functioning component processes. Journal of Abnormal Psychology, 112, 339–352.CrossRefGoogle ScholarPubMed
Knapp, P., Rohde, L.A., Lyszkowski, L., & Johannpeter, J. (2002). Cognitive therapy-behavior in attention deficit hyperactivity disorder: Therapeutic manual. Porto Alegre, RS: Artmed.Google Scholar
Lezak, M.D. (1995). Neuropsychological assessment (3rd ed.). New York: Oxford University Press.Google Scholar
Luria, A.R. (1973). Fundamentals of neuropsychology. (Translation: J.A. Ricardo, São Paulo, Edusp, 1981).Google Scholar
Macedo, E.C., Capovilla, F.C., Diana, C., & Covre, P. (1998). Development of computerized evaluation instruments for cognitive functions in the WWW: The possible and the necessary. In Capovilla, F., Gonçalves, M.J., & Macedo, E.C. (Eds.), Technology in Cognitive (Re)habilitation (pp. 21–32). São Paulo: Sociedade Brasileira de Neuropsicologia e Edunisc.Google Scholar
MacLeod, C., & Rutherford, E.M. (1992). Anxiety and the selective processing of emotional information: Mediating roles of awareness, trait and state variables, and personal relevance of stimulus materials. Behavior Research and Therapy, 30, 479–486.CrossRefGoogle ScholarPubMed
MacPherson, S.E., Phillips, L.H., & Sala, S.D. (2002). Age, executive function, and social decision making: Dorsolateral prefrontal theory of cognitive aging. Psychology and Aging, 17, 598–609.CrossRefGoogle ScholarPubMed
Mattos, P. (2002). Neurological evaluation of ADHD. In Macedo, E.C., Gonçalves, M.J., Capovilla, F.C., & Sennyey, A.L. (Eds.), Technology in cognitive (re)habilitation (pp. 321–328). São Paulo: Edunisc.Google Scholar
Mattos, P., Saboya, E., Kaefer, H., Knijnik, M.P., & Soncini, N. (2003). Neuropsychology of ADHD. In Rohde, L.A. & Mattos, P. (Eds.), Principles and practices in ADHD (pp. 63–74). Porto Alegre, RS: Artmed.Google Scholar
Mogg, K., Kentish, J., & Bradley, B.P. (1993). Effects of anxiety and awareness on color identification latencies for emotional words. Behavior Research and Therapy, 31, 559–567.CrossRefGoogle ScholarPubMed
Raven, J. C. (1938). Progressive matrices. A perceptual test of intelligence. London: Lewis. (Translation: A.L. Angelini, I.C.B. Alves, E.M. Custódio, W.F. Duarte, & J.L.M. Duarte. Matrizes Progressivas Coloridas de Raven: Escala Especial. Manual. São Paulo: CETEPP, 1999).Google Scholar
Raven, J, Raven, J. C. & Court, J. H. (1998). Raven Manual. General Overview.Oxford: Oxford Psychologists Press. (Translation: A.L. Angelini, I.C.B. Alves, E.M. Custódio, W.F. Duarte, & J.L.M. Duarte. Matrizes Progressivas Coloridas de Raven: Escala Especial. Manual. São Paulo: CETEPP, 1999).Google Scholar
Regard, M. (1998). Cognitive rigidity and flexibility: A neuropsychological study. In Spreen, O. & Strauss, E. (Eds.), A compendium of neuropsychological tests. Oxford, MA: Oxford University Press.Google Scholar
Rosin, F.M. (2001). Some experimental contributions in the study of the negative priming effect in selective attention tasks. Doctorate Examination. University of São Paulo, Ribeirão Preto, São Paulo.Google Scholar
Scheres, A., Oosterlaan, J., Geurts, H., Morein-Zamir, S., Meiran, N., Achut, H., Vlasveld, L., & Sergeant, J.A. (2004). Executive functioning in boys with ADHD: Primarily an inhibition deficit? Archives of Clinical Neuropsychology, 19, 569–594.CrossRefGoogle ScholarPubMed
Sergeant, J.A., Geurts, H., & Oosterlaan, J. (2002). How specific is a deficit of executive functioning for attentiondeficit/hyperactivity disorder? Behavioral Brain Research, 130, 3–28.CrossRefGoogle Scholar
Silberstein, R. B., Farrow, M., Levy, F., Pipingas, A., Hay, D. A., & Jarman, F. C. (1998). Functional brain electrical activity mapping in boys with attention-deficit/hyperactivity disorder. Archives General Psychiatry, 55, 1105–1112.CrossRefGoogle ScholarPubMed
Sternberg, R.J. (1996). Cognitive psychology. (Translation: M.R.B. Osório, Porto Alegre, RS: Medical Arts, 2000).Google Scholar
Stroop, J.R. (1935). Studies of interference in serial verbal reaction. Journal of Experimental Psychology, 18, 643–662.CrossRefGoogle Scholar
Szobot, C., Eizirik, M., Cunha, R.D., Langleben, D., & Rohde, L.A. (2001). Neuroimage in attention deficit hyperactivity disorder. Brazilian Review of Psychology, 23, 32–35.CrossRefGoogle Scholar
Willcutt, E.G., Pennington, B.F., Boada, R., Ogline, J.S., Tunick, K.R.A., Chhabildas, N.A., & Olson, R.K. (2001). A comparison of the deficits in reading disability and attentiondeficit/hyperactivity disorder. Journal of Abnormal Psychology, 110, 157–172.CrossRefGoogle Scholar
World Health Organization. (1992). The ICD-10 classification of mental and behavioral disorders: Clinical descriptions and diagnostic and guidelines. Geneva, Switzerland: World Health Organization. (Translation, Porto Alegre, RS: Medical Arts, 1993).Google Scholar