Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-20T02:28:32.307Z Has data issue: false hasContentIssue false

Working memory and information processing speed in children with myelomeningocele and shunted hydrocephalus: Analysis of the Children's Paced Auditory Serial Addition Test

Published online by Cambridge University Press:  17 May 2006

KATRINA M. BOYER
Affiliation:
Division of Epilepsy and Clinical Neurophysiology, Children's Hospital, Boston, and Department of Psychiatry, Harvard Medical School, Cambridge, Massachusetts
KEITH OWEN YEATES
Affiliation:
Department of Pediatrics, The Ohio State University, Columbus, Ohio Center for Biobehavioral Health, Columbus Children's Research Institute, Columbus, Ohio
BENEDICTA G. ENRILE
Affiliation:
Department of Pediatrics, The Ohio State University, Columbus, Ohio Section of Behavioral and Developmental Pediatrics, Children's Hospital, Columbus, Ohio

Abstract

Working memory and information processing speed were examined in children with myelomeningocele and shunted hydrocephalus using the Children's Paced Auditory Serial Addition Test (CHIPASAT). The CHIPASAT was administered to 31 children with myelomeningocele and shunted hydrocephalus and 27 healthy siblings, all between 8 and 15 years of age. They also completed other standardized measures of working memory and processing speed. Children with myelomeningocele made fewer correct responses than siblings, although the magnitude of group differences declined as the rate of stimulus presentation increased. Children with myelomeningocele also made fewer consecutive correct responses and were more likely to provide correct but nonconsecutive responses, suggesting that they responded in a way that circumvents the working memory demands of the task. Standardized measures of processing speed and working memory accounted for significant variance in CHIPASAT performance after controlling for age, group membership, math skill, and general intellectual functioning. The results indicate that children with myelomeningocele and shunted hydrocephalus display deficits in working memory and information processing speed, and suggest that the CHIPASAT may provide a valid measure of these skills. (JINS, 2006, 12, 305–313.)

Type
Research Article
Copyright
© 2006 The International Neuropsychological Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ayr, L.K., Yeates, K.O., & Enrile, B.G. (2005). Arithmetic skills and their cognitive correlates in children with congenital and acquired brain disorder. Journal of the International Neuropsychological Society, 11, 249262.Google Scholar
Barnes, M.A., Dennis, M., & Hetherington, R. (2004). Reading and writing skills in young adults with spina bifida and hydrocephalus. Journal of the International Neuropsychological Society, 10, 655663.Google Scholar
Barnes, M.A., Pengelly, S., Dennis, M., Wilkinson, M., Rogers, T., & Faulkner, H. (2002). Mathematics skills in good readers with hydrocephalus. Journal of the International Neuropsychology Society, 8, 7282.CrossRefGoogle Scholar
Barnes, M.A., Wilkinson, M., Boudousquie, A., Khemani, E., Dennis, M., & Fletcher, J.M., (in press). Arithmetic processing in children with spina bifida: Calculation accuracy, strategy use, and fact retrieval fluency. Journal of Learning Disabilities.
Brewer, V.R., Fletcher, J.M., Hiscock, M., & Davidson, K.C. (2001). Attention processes in children with shunted hydrocephalus versus attention deficit-hyperactivity disorder. Neuropsychology, 15, 185198.CrossRefGoogle Scholar
Canfield, M.A., Collins, J.S., Botto, L.D., Williams, L.J., Mai, C.T., Kirby, R.S., Pearson, K., Devine, O., & Mulinare, J., for the National Birth Defects Prevention Network. (2005). Changes in the birth prevalence of selected birth defects after grain fortification with folic acid in the United States: Findings from a multi-state population-based study. Birth Defects Research, Part A, 73, 679689.CrossRefGoogle Scholar
Chronicle, E.P. & MacGregor, N.A. (1998). Are PASAT scores related to mathematical ability? Neuropsychological Rehabilitation, 8, 273282.Google Scholar
Crawford, J.R., Obonsawin, M.C., & Allan, K.M. (1998). PASAT and components of WAIS-R performance: Convergent and discriminant validity. Neuropsychological Rehabilitation, 8, 255272.CrossRefGoogle Scholar
Deary, I.J., Ebmeier, K.P., MacLeod, K.M., Dougall, N., Hepburn, D.A., Frier, B.M., & Goodwin, G.M. (1994). PASAT performance and the pattern of uptake of −super(99m)Tc-exametazime in brain estimated with single photon emission tomography. Biological Psychology, 38, 118.Google Scholar
Deary, I.J., Langan, S.J., Hepburn, D.A., & Frier, B.M. (1991). Which abilities does the PASAT test? Personality and Individual Differences, 12, 983987.Google Scholar
del Bigio, M.R. (1993). Neuropathological changes caused by hydrocephalus. Acta Neuropathologica, 85, 573585.CrossRefGoogle Scholar
Dyche, G. & Johnson, D.A. (1991). Development and evaluation of CHIPASAT, an attention test for children: II. Test-retest reliability and practice effect for a normal sample. Perceptual and Motor Skills, 72, 563572.CrossRefGoogle Scholar
Erickson, K., Baron, I.S., & Fantie, B. (2001). Neuropsychological functioning in early hydrocephalus: Review from a developmental perspective. Child Neuropsychology, 7, 199229.Google Scholar
Fisk, J.D. & Archibald, C.J. (2001). Limitations of the paced auditory serial addition test as a measure of working memory in patients with multiple sclerosis. Journal of the International Neuropsychological Society, 7, 363372.CrossRefGoogle Scholar
Fletcher, J.M., Brookshire, B.L., Landry, S.H., Bohan, T.P., Davidson, K.C., Francis, D.J., Levin, H.S., Brandt, M.E., Kramer, L.A., & Morris, R.D. (1996). Attentional skills and executive functions in children with early hydrocephalus. Developmental Neuropsychology, 12, 5376.CrossRefGoogle Scholar
Fletcher, J.M., Dennis, M., Northrup, H., Barnes, M.A., Hannay, H.J., Landry, S.H., Copeland, K., Blaser, S.E., Kramer, L.A., Brandt, M.E., & Francis, D.J. (2004). Spina bifida: Genes, brain, and development. In L. Glidden (Ed.), International review of research in mental retardation (Vol. 29) (pp. 63117). San Diego: Elsevier Academic Press.
Gilbert, J.N., Jones, K.L., Rorke, L.B., Chernoff, G.F., & James, H.E. (1986). Central nervous system anomalies associated with meningomyelocele, hydrocephalus, and the Arnold-Chiari malformation: Reappraisal of theories regarding the pathogenesis of posterior neural tube closure defects. Neurosurgery, 18, 559564.CrossRefGoogle Scholar
Gow, A.J. & Deary, I.J. (2004). Is the PASAT past it? Testing attention and concentration without numbers. Journal of Clinical and Experimental Neuropsychology, 26, 723736.CrossRefGoogle Scholar
Grimm, R. (1976). Hand function and tactile perception in a sample of children with myelomeningocele. American Journal of Occupational Therapy, 30, 234240.Google Scholar
Iddon, J.L., Morgan, D.J.R., Loveday, C., Sahakian, B.J., & Pickard, J.D. (2004). Neuropsychological profile of young adults with spina bifida with or without hydrocephalus. Journal of Neurology Neurosurgery and Psychiatry, 75, 11121118.CrossRefGoogle Scholar
Johnson, D.A., Roethig-Johnson, K., & Middleton, J. (1988). Development and evaluation of an attentional test for head injured children: I. Information processing capacity for a normal sample. Journal of Child Psychology & Psychiatry, 29, 199208.Google Scholar
Lockwood, A.H., Linn, R.T., Szymanski, H., Coad, M.L., & Wack, D.S. (2004). Mapping the neural systems that mediate the Paced Auditory Serial Addition Test (PASAT). Journal of the International Neuropsychological Society, 10, 2634.Google Scholar
Lyle, J.G. & Johnson, E.G. (1974). Prediction of coding performance. Perceptual and Motor Skills, 39, 111114.CrossRefGoogle Scholar
Mendley, S.R. & Zelko, F.A. (1999). Improvement in specific aspects of neurocognitive performance in children after renal transplantation. Kidney International, 56, 318323.CrossRefGoogle Scholar
Miller, G.A. & Chapman, J.P. (2001). Misunderstanding analysis of covariance. Journal of Abnormal Psychology, 110, 4048.CrossRefGoogle Scholar
Prigatano, G.P., Zeiner, H.K., Pollay, M., & Kaplan, R.J. (1983). Neuropsychological functioning in children with shunted uncomplicated hydrocephalus. Child's Brain, 10, 112120.Google Scholar
Psychological Corporation. (1992). Wechsler Individual Achievement Test. San Antonio: The Psychological Corporation.
Roodenrys, S., Koloski, N., & Grainger, J. (2001). Working memory function in attention deficit hyperactivity disordered and reading disabled children. British Journal of Developmental Psychology, 19, 325337.CrossRefGoogle Scholar
Sampson, H. (1956). Pacing and performance in a serial addition task. Canadian Journal of Psychology, 10, 219225.CrossRefGoogle Scholar
Sherman, E.M.S., Struss, E., & Spellacy, F. (1997). Validity of the Paced Auditory Serial Addition Test (PASAT) in adults referred for neuropsychological assessment after head injury. Clinical Neuropsychologist, 11, 3445.CrossRefGoogle Scholar
Shucard, J.L., Parrish, J., Shucard, D.W., McCabe, D.C., Benedict, R.H.B., & Ambrus, J. (2004). Working memory and processing speed deficits in systemic lupus erythematosus as measured by the paced auditory serial addition test. Journal of the International Neuropsychological Society, 10, 3545.Google Scholar
Shurtleff, D.B. & Lemire, R.J. (1995). Epidemiology, etiologic factors, and prenatal diagnosis of open spinal dysraphism. Neurosurgery Clinics of North America, 6, 183194.CrossRefGoogle Scholar
Snyder, P.J. & Cappalleri, J.C. (2001). Information processing speed deficits may be better correlated with the extent of white matter sclerotic lesions in multiple sclerosis than previously suspected. Brain & Cognition, 46, 279284.CrossRefGoogle Scholar
Snyder, P.J., Cappalleri, J.C., Archibald, C.J., & Fisk, J.D. (2001). Improved detection of differential information-processing speed deficits between two disease-course types of multiple sclerosis. Neuropsychology, 15, 617624.CrossRefGoogle Scholar
Wechsler, D. (1991). Wechsler Intelligence Scale for Children-Third Edition manual. New York: Psychological Corporation.
Wills, S. & Leathem, J. (2004). The effects of text anxiety, age, intelligence level, and arithmetic ability on Paced Auditory Serial Addition Test performance. Applied Neuropsychology, 11, 178185.CrossRefGoogle Scholar
Yeates, K.O., Fletcher, J.M., & Dennis, M., (in press). Spina bifida and hydrocephalus. In J.E. Morgan & J.H. Ricker (Eds.), Comprehensive textbook of clinical neuropsychology. Lisse, The Netherlands: Swets & Zeitlinger.
Zeiner, H., Prigatano, G., Pollay, M., Biscoe, C., & Smith, R. (1985). Ocular motility, visual acuity, and dysfunction of neuropsychological impairment in children with shunted uncomplicated hydrocephalus. Child's Nervous System, 1, 115122.CrossRefGoogle Scholar
Zivani, J., Hayes, A., & Chant, D. (1990). Handwriting: A perceptual-motor disturbance in children with myelomeningocele. Occupational Therapy Journal of Research, 10, 1226.CrossRefGoogle Scholar