Impairment of Concept Formation Ability in Children with ADHD: Comparisons between Lower Grades and Higher Grades
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ObjectiveaaWe investigated executive functions (EFs), as evaluated by the Wisconsin Card Sorting Test (WCST), and other EF between lower grades (LG) and higher grades (HG) in elementary-school-age attention deficit hyperactivity disorder (ADHD) children. MethodsaaWe classified a sample of 112 ADHD children into 4 groups (composed of 28 each) based on age (LG vs. HG) and WCST performance [lower vs. higher performance on WCST, defined by the number of completed categories (CC)] Participants in each group were matched according to age, gender, ADHD subtype, and intelligence. We used the Wechsler intelligence Scale for Children 3rd edition to test intelligence and the Computerized Neurocognitive Function Test-IV, which included the WCST, to test EF. ResultsaaComparisons of EFs scores in LG ADHD children showed statistically significant differences in performing digit spans backward,some verbal learning scores, including all memory scores, and Stroop test scores. However, comparisons of EF scores in HG ADHD children did not show any statistically significant differences. Correlation analyses of the CC and EF variables and stepwise multiple regression analysis in LG ADHD children showed a combination of the backward form of the Digit span test and Visual span test in lower-performance ADHD participants significantly predicted the number of CC (R2=0.273, p<0.001). ConclusionaaThis study suggests that the design of any battery of neuropsychological tests for measuring EF in ADHD children should first consider age before interpreting developmental variations and neuropsychological test results. Researchers should consider the dynamics of relationships within EF, as measured by neuropsychological tests.
Abstract
ObjectiveaaWe investigated executive functions (EFs), as evaluated by the Wisconsin Card Sorting Test (WCST), and other EF between lower grades (LG) and higher grades (HG) in elementary-school-age attention deficit hyperactivity disorder (ADHD) children. MethodsaaWe classified a sample of 112 ADHD children into 4 groups (composed of 28 each) based on age (LG vs. HG) and WCST performance [lower vs. higher performance on WCST, defined by the number of completed categories (CC)] Participants in each group were matched according to age, gender, ADHD subtype, and intelligence. We used the Wechsler intelligence Scale for Children 3rd edition to test intelligence and the Computerized Neurocognitive Function Test-IV, which included the WCST, to test EF. ResultsaaComparisons of EFs scores in LG ADHD children showed statistically significant differences in performing digit spans backward,some verbal learning scores, including all memory scores, and Stroop test scores. However, comparisons of EF scores in HG ADHD children did not show any statistically significant differences. Correlation analyses of the CC and EF variables and stepwise multiple regression analysis in LG ADHD children showed a combination of the backward form of the Digit span test and Visual span test in lower-performance ADHD participants significantly predicted the number of CC (R2=0.273, p<0.001). ConclusionaaThis study suggests that the design of any battery of neuropsychological tests for measuring EF in ADHD children should first consider age before interpreting developmental variations and neuropsychological test results. Researchers should consider the dynamics of relationships within EF, as measured by neuropsychological tests.
참고문헌 (51)
- Gordon M, "Tests and observational measures (3rd ed). In: Bakrley RA, editor. Attention deficit hyperactivity disorder: a handbook for diagnosis and treatment", pp.369~388 (2006), The Guilford Press
- Willcutt EG, "Validity of the executive theory of attention deficit", hyperactivity disorder: a meta-analytic review, 2005, pp.57, 1336~1346
- Pennington BF, "Executive functions and developmental psychopathology", J Child Psychol Psychiatry, 37, pp.51~87 (1996)
- Anderson P, "Assessment and development of executive function (EF) during childhood", Child Neuropsychol, 8, pp.71~82 (2002)
- Morgan AB, "A meta-analytic review of the relation antisocial behavior and neuropsychological measures of executive function", Clin Psychol Rev, 20, pp.113~136 (2000)
- Collette F, "Brain imaging of the central executive component of working memory", Neurosci Biobehav Rev, 26, pp.105~125 (2002)
- Romine CB, "A model of the development of frontal lobe functioning: findings from a meta-analysis", Appl Neuropsychol, 12, pp.190~201 (2005)
- Doyle AE, "Executive functions in attention-deficit", hyperactivity disorder, 2006, pp.67(8), 21~26
- Castellanos FX, "CharacterTableizing cognition in ADHD: beyond executive dysfunction", Trends Cogn Sci, 10, pp.117~123 (2006)
- Nigg JT, "What causes ADHD? Understanding what goes wrong and why" (2006), Guildford Press
- Willcutt EG, "The neuropsychology of ADHD: validity of the executive function hypothesis. In attention deficit hyperactivity disorder: from genes to patents", pp.185~213 (2005), Human
- Wåhlstedt C, "Heterogeneity in ADHD: neuropsychological pathway, comorbidity and symptom domains", J Abnorm Child Psychol, 37, pp.551~564 (2009)
- Seidman LJ, "Neuropsychological functioning in people with ADHD across the lifespan", Clin Psychol Rev, 26, pp.466~485 (2006)
- American Psychiatric Association, "Diagnostic and statistical manual of mental disorder, 4th ed-revison" (2000), American Psychiatric Press
- Wechsler D, "Wechsler intelligence scale for children (3rd ed)" (1991), Psychological Corporation
- Kwak GJ, "Korean-Wechsler intelligence scale for children (3rd ed)" (2001), Special Education Publishing Co
- 고려원, "위스콘신 카드 분류검사의 발달추세연구-7～11세 아동을 중심으로-", 한국심리학회지 임상, 21(2) (2002), 한국임상심리학회
- 이종범, "‘전산화 신경인지기능검사’를 통한 학령기 정상아동의 신경심리학적 특성", 정신신체의학, 11(2), pp.118~136 (2003), 한국정신신체의학회
- Wechsler D, "Wechsler intelligence scale for children" (1949), Psychological Corporation
- Wirt RD, "Multidimensional description of child personality: a manual for the personality inventory for children" (1984), Western Psychological Services
- Kim ST, "Korean personality inventory for children", Korea Guidance
- "Maxmedica. Computerized Neurocognitive Function Test (4th ed)" (2004), Madmedical Co.
- 하규섭, "한국 성인 인지기능 평가를 위한 전산화 검사도구의 개발과 표준화 과정 및 요인분석", 신경정신의학, 41(3), pp.551~562 (2002), 대한신경정신의학회
- 이종범, "학령기 정상아동에서‘전산화 신경인지기능검사’의 타당도 및 신뢰도 분석", 정신신체의학, 11(2), pp.97~117 (2003), 한국정신신체의학회
- 구본훈, "ADHD 진단을 위한 전산화 신경인지 기능검사의 유용성", 생물치료정신의학, 12(1), pp.39~49 (2006), 대한생물치료정신의학회
- Berg EA, "A simple objective treatment for measuring flexibility in thinking", J Gen Psychol, 39, pp.5~22 (1948)
- Milner B, "Effects of different brain lesions on card sorting", Arc Neurol, 9, pp.90~100 (1963)
- Heaton RK, "Wisconsin Card Sorting Test (WCST)" (1981), Psychological Assessment Resource
- Heaton RK, "Wisconsin Card Sorting Test Manual: revised and expanded" (1993), Psychological Assessment Resource
- Milner B, "Interhemispheric differences in the localization of psychological processes in man", Br Med Bull, 27, pp.272~277 (1971)
- Cohen J, "A power primer", Psychol Bull, 112, pp.155~159 (1992)
- Lee HL, "Psychopathology and neurocognitive function on behavioral symptoms in children with ADHD", 박사, pp.2009
- Nigg JT, "Causal heterogeneity in attention-difecit", hyperactivity disorder: do we need neuropsychologically impaired subtypes?, 2005, pp.57, 1224~1230
- Anderson P, "The Tower of London Test: validation and standardization for pediatric population", The Clin Psychologist, 10, pp.54~65 (1996)
- Anderson P, "Standardization of the Contingency Naming Test for school-aged children: a new measure of reactive flexibility", Clin Neuropsychol Assess, 1, pp.247~273 (2000)
- Krikorian R, "Developmental data for the Porteus Maze Test", The Clin Neuropsychologist, 12, pp.305~310 (1998)
- Romine CB, "Wisconsin Card Sorting Test with children: a meta-analytic study of sensitivity and specificity", Arch Clin Neuropsychol, 19, pp.1027~1041 (2004)
- Rhodes MG, "Age-realted differences in performance on the Wisconsin card sorting test: a meta-analytic review", Psychol Aging, 19, pp.482~494 (2004)
- Chelune GJ, "Developmental norms for the Wisconsin card Sorting test", J Clin Exp Neuropsychol, 8, pp.219~228 (1986)
- Goldman PS, "An alternative to developmental plasticity: Heterology of CNS structures in infants and adults. In: Stein D, Rosen J, Butters N, editors. Plasticity and recovery of function in the central nervous system", pp.149~174 (1974), Academic Press
- Golden CJ, "The Lurai-Nebraska children’s battery: theory and formulation. In: Hynd GW, Obrzut JE, editors. Neurospsychologcial assessment and the school-age child: issues and procedures", pp.277~302 (1981), Grune & St-ratton
- Martinussen R, "A meta-analysis of working memory impairments in children with attention-deficit", hyperactivity disorder, 2005, pp.44, 377~384
- Dehane S, "The Wisconsin Card Sorting Test: theoretical analysis and modeling in a neuronal network", Cereb Cotex, 1, pp.62~79 (1991)
- Hartman M, "Accounting for age differences on the Wisconsin Card Sorting Test: decreased working memory, not inflexibility", Psychol Aging, 16, pp.385~399 (2001)
- Verhaeghen P, "Facts and fiction about memory ag-ing: a qualitative integration of research findings", J Gerontol, 48, pp.P157~P171 (1993)
- Alexander MP, "Disorders of frontal lobe functioning", Semin Neurol, 20, pp.427~437 (2000)
- Strauss E, "A compendium of neuropsychological tests: administration, norms, and commentary (3rd edition)", pp.477~499 (2006), Oxford University Press
- Kane MJ, "Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference", J Exp Psychol Gen, 132, pp.47~70 (2003)
- Bondi MW, "Cognitive and neuropathologic correlates of Stroop Color-Word Test performance in Alzheimer’s disease", Neuropsychology, 16, pp.335~343 (2002)
- Boone KB, "Factor analysis of four measures of prefrontal lobe functioning", Arch Clin Neu-ropsychol, 13, pp.585~595 (1998)
- Rabin LA, "Utilization rates of ecologically oriented instruments among clinical neuropsychologists", Clin Neuropsychol, 21, pp.727~743 (2007)