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Perception of strong-meter and weak-meter rhythms in children with spina bifida meningomyelocele

Published online by Cambridge University Press:  01 July 2009

TALAR HOPYAN ,
E. GLENN SCHELLENBERG  and
MAUREEN DENNIS
TALAR HOPYAN*
Affiliation:
Department of Psychology, University of Toronto, Toronto, Ontario, Canada Department of Psychology, The Hospital for Sick Children, Toronto, Ontario, Canada Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada
E. GLENN SCHELLENBERG
Affiliation:
Department of Psychology, University of Toronto, Toronto, Ontario, Canada
MAUREEN DENNIS
Affiliation:
Department of Psychology, University of Toronto, Toronto, Ontario, Canada Department of Psychology, The Hospital for Sick Children, Toronto, Ontario, Canada Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada Department of Surgery, University of Toronto, Toronto, Ontario, Canada
*
*Correspondence and reprint requests to: Talar Hopyan, Department of Psychology, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, Canada M5G 1X8. E-mail: t.hopyan@utoronto.ca
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Abstract

Neurodevelopmental disorders such as spina bifida meningomyelocele (SBM) are often associated with dysrhythmic movement. We studied rhythm discrimination in 21 children with SBM and in 21 age-matched controls, with the research question being whether both groups showed a strong-meter advantage whereby rhythm discrimination is better for rhythms with a strong-meter, in which onsets of longer intervals occurred on the beat, than those with a weak-meter, in which onsets of longer intervals occurred off the beat. Compared to controls, the SBM group was less able to discriminate strong-meter rhythms, although they performed comparably in discriminating weak-meter rhythms. The attenuated strong-meter advantage in children with SBM shows that their rhythm deficits occur at the level of both perception and action, and may represent a central processing disruption of the brain mechanisms for rhythm. (JINS, 2009, 15, 521–528.)

Keywords

Neurodevelopmental disordersMovement disorderMotor regulationPerceptionSpina bifidaCerebellum
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 15 , Issue 4 , July 2009 , pp. 521 - 528
Copyright
Copyright © The International Neuropsychological Society 2009

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References

REFERENCES

Barkovich, A.J. (1995). Pediatric neuroimaging (2nd ed.). New York: Raven Press.Google Scholar
Barkovich, A.J. (2000). Pediatric neuroimaging (3rd ed.). Philadelphia: Lippincott Williams and Wilkins.Google Scholar
Biglan, A.W. (1995). Strabismus associated with meningomyelocele. Journal of Pediatric Ophthalmology and Strabismus, 32, 309–314.CrossRefGoogle ScholarPubMed
Braitenberg, V. (1967). Is the cerebellar cortex a biological clock in the millisecond range? Progress in Brain Research, 25, 334–346.CrossRefGoogle ScholarPubMed
Charney, E. (1992). Neural tube defects: Spina bifida and meningomyelocele. In Batshaw, M. & Perret, Y. (Eds.), Children with disabilities: A medical primer (3rd ed., pp. 471–488). Baltimore: Paul H. Brookes.Google Scholar
Cohen, J.D., MacWhinney, B., Flatt, M., & Provost, J. (1993). PsyScope: A new graphic interactive environment for designing psychology experiments. Behavioral Research Methods, Instruments, & Computers, 25, 257–271.CrossRefGoogle Scholar
Colvin, A.N., Yeates, K.O., Enrile, B.G., & Coury, D.L. (2003). Motor adaptation in children with myelomeningocele: Comparison to children with ADHD and healthy siblings. Journal of the International Neuropsychological Society, 9, 642–652.CrossRefGoogle ScholarPubMed
Combe, G. (1838). On the functions of the cerebellum (Gall, F.J., Vimont, J., & Broussais, F.J.V., Trans.). London: Maclachan & Stewart. (Original work published in 1804).Google Scholar
Dennis, M., Edelstein, K., Hetherington, R., Copeland, K., Frederick, J., Blaser, S., Kramer, L.A., Drake, J.M., Brandt, M., & Fletcher, J. (2004). Neurobiology of perceptual and motor timing in children with spina bifida in relation to cerebellar volume. Brain, 127, 1292–1301.CrossRefGoogle ScholarPubMed
Dennis, M., Fletcher, J.M., Rogers, T., Hetherington, R., & Francis, D.J. (2002). Object-based and action-based visual perception in children with spina bifida and hydrocephalus. Journal of the International Neuropsychological Society, 8, 95–106.CrossRefGoogle ScholarPubMed
Dennis, M., Jewell, D., Edelstein, K., Brandt, M.E., Hetherington, R., Blaser, S.E., & Fletcher, J.M. (2006). Motor learning in children with spina bifida: Intact learning and performance on a ballistic task. Journal of the International Neuropsychological Society, 12, 598–608.CrossRefGoogle ScholarPubMed
Dewey, D. (2004). Developmental motor disorders: A neuropsychological perspective. New York: Guilford Press.Google Scholar
Drake, C. (1993). Reproduction of musical rhythms by children, adult musicians, and adult nonmusicians. Perception & Psychophysics, 53, 25–33.CrossRefGoogle ScholarPubMed
Drake, C. & Bertrand, D. (2001). The quest for universals in temporal processing in music. Annals of the New York Academy of Sciences, 930, 17–27.CrossRefGoogle ScholarPubMed
Drake, C. & Gérard, C. (1989). A psychological pulse train: How young children use this cognitive framework to structure simple rhythms. Psychological Research, 51, 16–22.CrossRefGoogle ScholarPubMed
Edelstein, K., Dennis, M., Copeland, K., Frederick, J., Francis, D., Hetherington, R., Brandt, M.E., & Fletcher, J.M. (2004). Motor learning in children with spina bifida: Dissociation between performance level and acquisition rate. Journal of the International Neuropsychological Society, 10, 877–887.CrossRefGoogle ScholarPubMed
Essens, P.J. (1986). Hierarchical organization of temporal patterns. Perception & Psychophysics, 40, 69–73.CrossRefGoogle ScholarPubMed
Essens, P.J. & Povel, D. (1985). Metrical and nonmetrical representations of temporal patterns. Perception & Psychophysics, 37, 1–7.CrossRefGoogle ScholarPubMed
Fitch, W.T. & Rosenfeld, A.J. (2007). Perception and production of syncopated rhythms. Music Perception, 25, 43–58.CrossRefGoogle Scholar
Fletcher, J.M., Copeland, K., Frederick, J.A., Blaser, S.E., Kramer, L.A., Northrup, H., Hannay, H.J., Brandt, M.E., Francis, D.J., Villarreal, G., Drake, J.M., Laurent, J.P., Townsend, I., Inwood, S., Boudousquie, A., & Dennis, M. (2005). Spinal lesion level in spina bifida: A source of neural and cognitive heterogeneity. Journal of Neurosurgery, 102, 268–279.Google ScholarPubMed
Fletcher, J.M., Dennis, M., & Northrup, H. (2000). Hydrocephalus. In Yeates, K.O., Ris, M.D., & Taylor, H.G. (Eds.), Pediatric neuropsychology: Research, theory, and practice (pp. 25–46). New York: Guilford.Google Scholar
Fletcher, J.M., Dennis, M., Northrup, H., Barnes, M.A., Hannay, H.J., Landry, S., Copeland, K., Blaser, S.E., Kramer, L.A., Brandt, M.E., & Francis, D.J. (2004). Spina bifida: Genes, brain, and development. In Glidden, L. (Ed.), International review of research in mental retardation: Vol. 29 (pp. 63–117). San Diego, CA: Academic Press.Google Scholar
Griffiths, T.D. (2001). The neural processing of complex sounds. Annals of the New York Academy of Sciences, 390, 133–142.CrossRefGoogle Scholar
Grimm, R.A. (1976). Hand function and tactile perception in a sample of children with myelomeningocele. The American Journal of Occupational Therapy, 30, 234–240.Google Scholar
Handel, S. (1989). Listening: An introduction to the perception of auditory events. Cambridge, MA: MIT Press.Google Scholar
Hébert, S. & Cuddy, L.L. (2002). Detection of metric structure in auditory figural patterns. Perception & Psychophysics, 64, 909–918.CrossRefGoogle ScholarPubMed
Hetherington, R. & Dennis, M. (1999). Motor function profile in children with early onset hydrocephalus. Developmental Neuropsychology, 15, 25–51.CrossRefGoogle Scholar
Hetherington, R., Dennis, M., & Spiegler, B. (2000). Perception and estimation of time in long-term survivors of childhood posterior fossa tumors. Journal of the International Neuropsychological Society, 6, 682–692.CrossRefGoogle ScholarPubMed
Holmes, G. (1939). The cerebellum of man. Brain, 62, 1–30.CrossRefGoogle Scholar
Huber, J., Dennis, M., Brettschneider, A., & Spiegler, B. (2002). Motor speech deficits in children and adults with spina bifida and hydrocephalus. Brain and Language, 80, 592–602.CrossRefGoogle Scholar
Iacoboni, M. (2001). Playing tennis with the cerebellum. Nature Neuroscience, 4, 555–556.CrossRefGoogle ScholarPubMed
Ivry, R.B. (1993). Cerebellar involvement in the explicit representation of temporal information. In Tallal, P., Galaburda, A., Llinas, R.R., & Von Euler, C. (Eds.), Temporal information processing in the nervous system: Special reference to dyslexia and dysphasia: Vol. 682 (pp. 214–230). New York: Annals of New York Academy of Sciences.Google Scholar
Ivry, R.B. (1996). The representation of temporal information in perception and motor control. Current Opinion in Neurobiology, 6, 851–857.CrossRefGoogle ScholarPubMed
Ivry, R.B. & Keele, S.W. (1989). Timing function of the cerebellum. Journal of Cognitive Neuroscience, 1, 134–150.CrossRefGoogle ScholarPubMed
Ivry, R.B., Keele, S.W., & Diener, H.C. (1988). Dissociation of the lateral and medial cerebellum in movement timing and movement execution. Experimental Brain Research, 73, 167–180.CrossRefGoogle ScholarPubMed
Ivry, R.B. & Richardson, T.C. (2002). Temporal control and coordination: The multiple timer model. Brain and Cognition, 48, 117–132.CrossRefGoogle ScholarPubMed
Jantzen, K.J., Steinberg, F.L., & Kelso, J.A. (2004). Brain networks underlying human timing behavior are influenced by prior context. Proceedings of the National Academy of Sciences, 101, 6815–6820.CrossRefGoogle ScholarPubMed
Kaufman, A.S. & Kaufman, N.L. (1990). Kaufman Brief Intelligence Test. Circle Pines, MN: American Guidance Service.Google Scholar
Krumhansl, C.L. (2000). Rhythm and pitch in music cognition. Psychological Bulletin, 126, 159–179.CrossRefGoogle ScholarPubMed
Leigh, R.J. & Zee, D.S. (1999). The neurology of eye movements. New York: Oxford University Press.Google ScholarPubMed
Martin, J.A., Hamilton, B.E., Sutton, P.D., Ventura, S.J., Menacker, F., & Kirmeyer, S. (2006). Births: Final data for 2004. National Vital Statistics Reports, 55, 1–101.Google ScholarPubMed
Mauk, M.D., Medina, J.F., Nores, W.L., & Ohyama, T. (2000). Cerebellar function: Coordination, learning or timing? Current Biology, 10, R522–R525.CrossRefGoogle ScholarPubMed
Miall, R.C. & Reckess, G.Z. (2002). The cerebellum and the timing of coordinated eye and hand tracking. Brain and Cognition, 45, 189–211.Google Scholar
Mostofsky, S.H., Kunze, J.C., Cutting, L.E., Lederman, H.M., & Denckla, M.B. (2000). Judgment duration in individuals with ataxia-telangiectasia. Developmental Neuropsychology, 17, 63–74.CrossRefGoogle ScholarPubMed
Penhune, V.B., Zatorre, R.J., & Feindel, W.H. (1999). The role of auditory cortex in retention of rhythmic patterns as studied in patients with temporal lobe removals including Heschl’s gyrus. Neuropsychologia, 37, 315–331.CrossRefGoogle ScholarPubMed
Povel, D.-J. & Essens, P. (1985). Perception of temporal patterns. Music Perception, 2, 411–440.CrossRefGoogle Scholar
Repp, B.H. (2005). Sensorimotor synchronization: A review of the tapping literature. Psychonomic Bulletin & Review, 12, 969–992.CrossRefGoogle ScholarPubMed
Sakai, K., Hikosaka, O., Miyauchi, S., Takino, R., Tamada, T., Iwatam, N.K., & Nielsen, M. (1999). Neural representation of a rhythm depends on its interval ratio. The Journal of Neuroscience, 19, 10074–10081.CrossRefGoogle ScholarPubMed
Sakai, K., Hikosaka, O., & Nakamura, K. (2004). Emergence of rhythm during motor learning. Trends in Cognitive Sciences, 8, 547–553.CrossRefGoogle ScholarPubMed
Salman, M.S., Blaser, S.E., Sharpe, J.A., & Dennis, M. (2006a). Cerebellar vermis morphology in children with spina bifida and Chiari type II malformation. Child’s Nervous System, 22, 385–393.CrossRefGoogle ScholarPubMed
Salman, M.S., Sharpe, J.A., Eizenman, M., Lillakas, L., To, T., Westall, C., Steinbach, M.J., & Dennis, M. (2005). Saccades in children with Chiari type II malformation. Neurology, 64, 2098–2101.CrossRefGoogle ScholarPubMed
Salman, M.S., Sharpe, J.A., Eizenman, M., Lillakas, L., To, T., Westall, C., Steinbach, M.J., & Dennis, M. (2006b). Saccadic adaptation in Chiari type II malformation. Canadian Journal of Neurological Sciences, 33, 372–380.CrossRefGoogle ScholarPubMed
Salman, M.S., Sharpe, J.A., Lillakas, L., Steinbach, M.J., & Dennis, M. (2007). Smooth ocular pursuit in Chiari type II malformation. Developmental Medicine and Child Neurology, 49, 289–293.CrossRefGoogle ScholarPubMed
Schlerf, J.E., Spencer, R.M., Zelaznik, H.N., & Ivry, R.B. (2007). Timing of rhythmic movements in patients with cerebellar degeneration. Cerebellum, 6, 221–331.CrossRefGoogle ScholarPubMed
Thorndike, R.L., Hagen, E.P., & Sattler, J.M. (1986). The Stanford-Binet Intelligence Scale (4th ed.). Chicago, IL: The Riverside Publishing Company.Google Scholar
Williams, L.J., Rasmussen, S.A., Flores, A., Kirby, R.S., & Edmonds, L.D. (2005). Decline in the prevalence of spina bifida and anencephaly by race/ethnicity: 1995–2002. Pediatrics, 116, 580–586.CrossRefGoogle Scholar
Wills, K.E. (1993). Neuropsychological functioning in children with spina bifida and/or hydrocephalus. Journal of Clinical Child Psychology, 22, 247–265.CrossRefGoogle Scholar
Zatorre, R.J., Chen, J.L., & Penhune, V.B. (2007). When the brain plays music: Auditory-motor interactions in music perception and production. Nature Reviews Neuroscience, 8, 547–558.CrossRefGoogle ScholarPubMed