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Periventricular brain injury, visual motion processing, and reading and spelling abilities in children who were extremely low birthweight

Published online by Cambridge University Press:  25 February 2003

Downie Andrea L.S.
Affiliation:
Department of Psychology, The Hospital for Sick Children, Toronto, Ontario, Canada
Jakobson Lorna S.*
Affiliation:
Department of Psychology, The University of Manitoba, Winnipeg, Manitoba, Canada
Frisk Virginia
Affiliation:
Department of Psychology, The Hospital for Sick Children, Toronto, Ontario, Canada
Ushycky Irene
Affiliation:
Department of Communication Disorders, The Hospital for Sick Children, Toronto, Ontario, Canada
*
Reprint requests to: Dr. L. Jakobson, Department of Psychology, University of Manitoba, Winnipeg, MB R3T 2N2 Canada. E-mail: jakobson@ms.umanitoba.ca

Abstract

Among children born at extremely low birthweight (ELBW: <1000 g at birth) there is an association between the presence of periventricular brain injury (PVBI) and lowered performance on tests of reading and spelling ability. The present study was designed to determine if this association might be related to underlying dysfunction in the subcortical magnocellular visual pathway or its cortical targets in the dorsal stream, a prediction motivated by the magnocellular theory of dyslexia. Thirty-five ELBW children were divided into two groups based upon the presence or absence of PVBI (no PVBI, n = 11; PVBI, n = 24). The performance of these two groups was compared to that of a group of healthy full term children (n = 12) on a motion-defined form recognition task believed to tap into the functioning of the magnocellular pathway and/or the dorsal stream. ELBW children did, in fact, show a striking impairment on this task, with 71% of the sample performing at a level more than three standard deviations below the mean of full term controls. Surprisingly, their difficulties were not found to be related to either the presence of brain injury (verified by neonatal cranial ultrasound) or to problems with reading or spelling. An association was documented, however, between difficulties with motion processing and performance on several subtests of the Performance IQ scale of the Wechsler Intelligence Scale for Children–Third Edition. This latter finding is consistent with our earlier suggestion that magnocellular pathway/dorsal stream dysfunction may underlie problems with visuospatial and visuomotor performance in this population. (JINS, 2003, 9, 440–449.)

Type
Research Article
Copyright
Copyright © The International Neuropsychological Society 2003

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References

Bozynski, M.E., Nelson, M.N., Genaze, D., Rosati-Skertich, C., Chilcote, W.S., Jr., Ramsey, R.G., O'Donnell, K.J., & Meier, W.A. (1984). Intracranial hemorrhage and neurodevelopmental outcome at one year in infants weighing 1200 grams or less. Prognostic significance of ventriculomegaly at term gestational age. American Journal of Perinatology, 1, 325–330.10.1055/s-2007-1000032CrossRefGoogle Scholar
Braddick, O., Atkinson, J., & Hood, B. (1996). Striate cortex, extrastriate cortex, and colliculus: Some new approaches. In F. Vital-Durand, J. Atkinson, & O.J. Braddick (Eds.), Infant vision (pp. 203–220). Oxford, UK: Oxford University Press.Google Scholar
Brady, S.A., Shankweiler, D.P., & Mann, V. (1983). Speech perception and memory coding in relation to reading ability. Journal of Experimental Child Psychology, 35, 345–367.10.1016/0022-0965(83)90087-5CrossRefGoogle Scholar
Cestnick, L. & Coltheart, M. (1999). The relationship between language-processing and visual-processing deficits in developmental dyslexia. Cognition, 71, 231–255.10.1016/S0010-0277(99)00023-2CrossRefGoogle Scholar
Cioni, G., Fazzi, B., Coluccini, M., Bartalena, L., Boldrini, A., & van Hof-van Duin, J. (1997). Cerebral visual impairment in preterm infants with periventricular leukomalacia. Pediatric Neurology, 17, 331–338.10.1016/S0887-8994(97)00152-5CrossRefGoogle Scholar
Committee for the Classification of Retinopathy of Prematurity. (1984). The international classification of retinopathy of prematurity. Pediatrics, 74, 127–133.Google Scholar
Cornelissen, P., Richardson, A., Mason, A., Fowler, S., & Stein, J. (1995). Contrast sensitivity and coherent motion detection measured at photopic luminance levels in dyslexics and controls. Vision Research, 35, 1483–1494.10.1016/0042-6989(95)98728-RCrossRefGoogle Scholar
Cornelissen, P.L., Hansen, P.C., Gilchrist, I., Cormack, F., Essex, J., & Frankish, C. (1998). Coherent motion detection and letter position encoding. Vision Research, 38, 2181–2191.10.1016/S0042-6989(98)00016-9CrossRefGoogle Scholar
Demb, J.B., Boynton, G.F., & Heeger, D.J. (1998). Functional magnetic resonance imaging of early visual pathways in dyslexia. Journal of Neuroscience, 18, 6939–6951.CrossRefGoogle Scholar
Dowdeswell, H.J., Slater, A.M., Broomhall, J., & Tripp, J. (1995). Visual deficits in children born at less than 32 weeks' gestation with and without major ocular pathology and cerebral damage. British Journal of Ophthalmology, 79, 447–452.10.1136/bjo.79.5.447CrossRefGoogle Scholar
Downie, A.L.S., Frisk, V., & Jakobson, L.S. (2002). The impact of periventricular brain injury on reading and spelling abilities in the late elementary and adolescent years. Manuscript submitted for publication.Google Scholar
Duffy, F.H., Als, H., & McAnulty, G.B. (1990). Behavioral and electrophysiological evidence for gestational age effects in healthy preterm and fullterm infants studied two weeks after expected due date. Child Development, 61, 271–286.10.2307/1130893CrossRefGoogle Scholar
Duncan, D., Alavi, A., Galetta, S.L., Gray, L., & Grossman, M. (1994). The value of technetium-99m HMPAO SPECT in the evaluation of visual abnormalities [Abstract]. Journal of Nuclear Medicine, 35, 209–10P.Google Scholar
Eden, G.F., VanMeter, J.W., Rumsey, J.M., Maisog, J.M., Woods, R.P., & Zeffiro, T.A. (1996). Abnormal processing of visual motion in dyslexia revealed by functional brain imaging. Nature, 382, 66–69.10.1038/382066a0CrossRefGoogle Scholar
Everatt, J., Bradshaw, M.F., & Hibbard, P.B. (1999). Visual processing and dyslexia. Perception, 28, 243–254.10.1068/p2743CrossRefGoogle Scholar
Felmingham, K.L. & Jakobson, L.S. (1995). Visual and visuomotor performance in dyslexic children. Experimental Brain Research, 106, 467–474.10.1007/BF00231069CrossRefGoogle Scholar
Fischer, B. & Hartnegg, K. (2000). Stability of gaze control in dyslexia. Strabismus, 8, 119–122.10.1076/0927-3972(200006)8:2;1-2;FT119CrossRefGoogle Scholar
Fletcher, J.M., Landry, S.H., Bohan, T.P., Davidson, K.C., Brookshire, B.L., Lachar, D., Kramer, L.A., & Francis, D.J. (1997). Effects of intraventricular hemorrhage and hydrocephalus on the long-term neurobehavioral development of preterm very-low-birthweight infants. Developmental Medicine and Child Neurology, 39, 596–606.10.1111/j.1469-8749.1997.tb07495.xCrossRefGoogle Scholar
Frisk, V. & Whyte, H. (1994). The long term consequences of periventricular brain damage on language and verbal memory. Developmental Neuropsychology, 10, 313–333.10.1080/87565649409540586CrossRefGoogle Scholar
Goto, M., Ota, R., Iai, M., Sugita, K., & Tanabe, Y. (1994). MRI changes and deficits of higher brain functions in preterm diplegia. Acta Pædiatrica, 83, 506–511.10.1111/j.1651-2227.1994.tb13068.xCrossRefGoogle Scholar
Graves, R.E., Frerichs, R.J., & Cook, J.A. (1999). Visual localization in dyslexia. Neuropsychology, 13, 575–581.10.1037/0894-4105.13.4.575CrossRefGoogle Scholar
Gross-Glenn, K., Skottun, B.C., Glenn, W., Kushch, A., Lingua, R., Dunbar, M., Jallad, B., Lubs, H.A., Levin, B., Rabin, M., Parke, L.A., & Duara, R. (1995). Contrast sensitivity in dyslexia. Visual Neuroscience, 12, 153–163.10.1017/S0952523800007380CrossRefGoogle Scholar
Hack, M., Taylor, H.G., Klein, N., Eiben, R., Schatschneider, C., & Mercuri-Minich, N. (1994). School-age outcomes in children with birth weights under 750 g. New England Journal of Medicine, 331, 753–759.10.1056/NEJM199409223311201CrossRefGoogle Scholar
Hall, A., McLeod, A., Counsell, C., Thomson, L., & Mutch, L. (1995). School attainment, cognitive ability and motor function in a total Scottish very-low-birthweight population at eight years: A controlled study. Developmental Medicine and Child Neurology, 37, 1037–1050.Google Scholar
Halsey, C.L., Collin, M.F., & Anderson, C.L. (1996). Extremely low-birth-weight children and their peers. A comparison of school-age outcomes. Archives of Pediatric and Adolescent Medicine, 150, 790–794.10.1001/archpedi.1996.02170330016003CrossRefGoogle Scholar
Herrgård, E., Luoma, L., Tuppurainen, K., Karjalainen, S., & Martikainen, A. (1993). Neurodevelopmental profile at five years of children born at < 32 weeks gestation. Developmental Medicine and Child Neurology, 35, 1083–1096.Google Scholar
Inder, T.E., Huppi, P.S., Warfield, S., Kikinis, R., Zientara, G.P., Barnes, P.D., Ferenc, J., & Volpe, J.J. (1999). Periventricular white matter injury in the premature infant is followed by reduced cerebral cortical gray matter volume at term. Annals of Neurology, 46, 755–760.10.1002/1531-8249(199911)46:5<755::AID-ANA11>3.0.CO;2-03.0.CO;2-0>CrossRef3.0.CO;2-0>Google Scholar
Jacobson, L., Ek, U., Fernell, E., Flodmark, O., & Broberger, U. (1996). Visual impairment in preterm children with periventricular leukomalacia—visual, cognitive and neuropaediatric characteristics related to cerebral imaging. Developmental Medicine and Child Neurology, 38, 724–735.10.1111/j.1469-8749.1996.tb12142.xCrossRefGoogle Scholar
Jakobson, L.S., Frisk, V.A., Knight, R.M., Downie, A.L.S., & Whyte, H. (2001). The relationship between periventricular brain injury and deficits in visual processing among extremely-low-birth-weight (<1000 g) children. Journal of Pediatric Psychology, 26, 503–512.10.1093/jpepsy/26.8.503CrossRefGoogle Scholar
Jongmans, M., Mercuri, E., Henderson, S., de Vries, L., Sonksen, P., & Dubowitz, L. (1996). Visual function of prematurely born children with and without perceptual–motor difficulties. Early Human Development, 45, 73–82.10.1016/0378-3782(95)01722-4CrossRefGoogle Scholar
Klebanov, P.K., Brooks-Gunn, J., & McCormick, M.C. (1994). Classroom behavior of very low birthweight elementary school children. Pediatrics, 94, 700–708.Google Scholar
Lovegrove, W.J., Bowling, A., Badcock, D., & Blackwood, M. (1980). Specific reading disability: Differences in contrast sensitivity as a function of spatial frequency. Science, 210, 439–440.10.1126/science.7433985CrossRefGoogle Scholar
Lovegrove, W., Martin, F., Bowling, A., Blackwood, M., Badcock, D., & Paxton, S. (1982). Contrast sensitivity functions and specific reading disability. Neuropsychologia, 20, 309–315.10.1016/0028-3932(82)90105-1CrossRefGoogle Scholar
Martin, F. (1987). Uniform-field flicker masking in control and specifically disabled readers. Perception, 17, 203–214.10.1068/p170203CrossRefGoogle Scholar
Maunsell, J.H.R. (1992). Functional visual systems. Current Opinion in Neurobiology, 2, 506–510.10.1016/0959-4388(92)90188-QCrossRefGoogle Scholar
Maunsell, J.H.R, Nealy, R.A., & De Priest, D.D. (1990). Magnocellular and parvocellular contributions to responses in the middle temporal area (MT) of the macaque monkey. Journal of Neuroscience, 10, 3323–3334.CrossRefGoogle Scholar
Merigan, W.H. & Maunsell, J.H.R. (1993). How parallel are the primate visual pathways? Annual Review of Neuroscience, 16, 369–402.10.1146/annurev.ne.16.030193.002101CrossRefGoogle Scholar
Milner, A.D. & Goodale, M.A. (1995). The visual brain in action. New York: Oxford University Press.Google Scholar
Mody, M., Studdert-Kennedy, M., & Brady, S. (1995). Speech perception deficits in poor readers: Auditory processing or phonological coding? Haskins Laboratories Status Report on Speech Research, 119/120, 1–24.Google Scholar
Olsén, P., Vainionpää, L., Pääkkö, E., Korkman, M., Pyhtinen, J., & Järvelin, M. (1998). Psychological findings in preterm children related to neurologic status and magnetic resonance imaging. Pediatrics, 102, 329–336.CrossRefGoogle Scholar
Page, J., Schneeweiss, S., Whyte, H.E.A., & Harvey, P. (1993). Ocular sequalae in premature infants. Pediatrics, 92, 787–790.Google Scholar
Papile, L., Burstein, J., Burstein, R., & Koffler, H. (1978). Incidence and evolution of subependymal and intraventricular hemorrhage: A study of infants with birth weights less than 1500 grams. The Journal of Pediatrics, 92, 529–534.10.1016/S0022-3476(78)80282-0CrossRefGoogle Scholar
Regan, D., Giaschi, D., Sharpe, J.A., & Hong, XH. (1992). Visual processing of motion-defined form: Selective failure in patients with parietotemporal lesions. Journal of Neuroscience, 12, 2198–2210.10.1523/JNEUROSCI.12-06-02198.1992CrossRefGoogle Scholar
Rieck, M., Arad, I., & Netzer, D. (1996). Developmental evaluation of very-low-birthweight infants: Longitudinal and cross-sectional studies. International Journal of Behavioral Development, 19, 549–562.10.1177/016502549601900306CrossRefGoogle Scholar
Robertson, C.M.T., Etches, P.C., & Kyle, J.M. (1990). Eight-year school performance and growth of preterm, small for gestational age infants: A comparative study with subjects matched for birthweight and for gestational age. Journal of Pediatrics, 116, 19–26.10.1016/S0022-3476(05)81639-7CrossRefGoogle Scholar
Ross, G., Lipper, E.G., & Auld, P.A.M. (1991). Educational status and school-related abilities of very low birthweight premature children. Pediatrics, 88, 1125–1134.Google Scholar
Saigal, S., Szatmari, P., Rosenbaum, P., Campbell, D., & King, S. (1991). Cognitive abilities and school performance of extremely low birth weight children and matched term control children at age 8 years: A regional study. Journal of Pediatrics, 118, 751–760.10.1016/S0022-3476(05)80043-5CrossRefGoogle Scholar
Skottun, B.C. (2000). The magnocellular deficit theory of dyslexia: The evidence from contrast sensitivity. Vision Research, 40, 111–128.10.1016/S0042-6989(99)00170-4CrossRefGoogle Scholar
Silverman, I.E., Galetta, S.L., Gray, L.G., Moster, M., Atlas, S.W., Maurer, A.H., & Alavi, A. (1993). SPECT in patients with cortical visual loss. Journal of Nuclear Medicine, 34, 1447–1451.Google Scholar
Smith, A.T., Early, F., & Grogan, S.C. (1986). Flicker masking and developmental dyslexia. Perception, 15, 473–482.10.1068/p150473CrossRefGoogle Scholar
Stein, J. (2001). The magnocellular theory of developmental dyslexia. Dyslexia, 7, 12–36.10.1002/dys.186CrossRefGoogle Scholar
Stjernqvist, K. & Svenningsen, N.W. (1995). Extremely low-birth-weight infants less than 901 g: Development and behaviour after 4 years of life. Acta Paediatrica, 84, 500–506.10.1111/j.1651-2227.1995.tb13682.xCrossRefGoogle Scholar
Taylor, H.G., Hack, M., Klein, N., & Schatschneider, C. (1995). Achievement in children with birth weights less than 750 grams with normal cognitive abilities: Evidence for specific learning disabilities. Journal of Pediatric Psychology, 20, 703–719.CrossRefGoogle Scholar
Taylor, H.G., Klein, N., & Hack, M. (2000). School-age consequences of birth weight less than 750 g: A review and update. Developmental Neuropsychology, 17, 289–321.CrossRefGoogle Scholar
Vidyasagar, T.R. (1999). A neuronal model of attentional spotlight: Parietal guiding the temporal. Brain Research Reviews, 30, 66–76.10.1016/S0165-0173(99)00005-3CrossRefGoogle Scholar