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Essay: Brain volume and the acquisition of adaptive capacities

Published online by Cambridge University Press:  22 September 2009

Verne S. Caviness
Affiliation:
Chief of the Division of Pediatric Neurology Massachusetts General Hospital; Joseph and Rose Kennedy Professor of Child Neurology and Mental Retardation Harvard Medical School
Kurt W. Fischer
Affiliation:
Harvard University, Massachusetts
Jane Holmes Bernstein
Affiliation:
The Children's Hospital, Boston
Mary Helen Immordino-Yang
Affiliation:
University of Southern California
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Summary

Connection: Brain, language, and other human capacities develop in patterns shaped by both evolution and culturally defined experiences, including language and literacy. New tools for characterizing brain development provide means for analyzing development of different brain regions in relation to abilities such as speech and reading. Many classical neural imaging techniques assess the volume of particular brain regions in brains of people who have died, but newer techniques, such as magnetic resonance imaging, assess volume in brains of living people. Because volumes of different brain tissues change in diverse ways when people die, the new techniques provide the first good data on brain volume of living brains. Many hypotheses about learning disorders involve differences in size of specific areas of brain tissue, such as regions for phonological analysis in many dyslexic children (Galaburda & Sherman; Paré-Blagoev; Benes & Paré-Blagoev, this volume). With data on volume in living brains being so recent, the principles relating brain volume to development, learning, and evolution remain to be determined. Evidence has already shown that different people show different volumes for the same brain areas, and that areas which share functioning seem to covary in their volume, even when they are in widely separated brain regions.

The Editors

There appear to be powerful constraints selected through evolution that act to set the total volume of neocortex to a narrow species-specific value (Filipek et al., 1994; Caviness et al., 1999). Within these constraints other mechanisms, operating through individual experience, adaptively modulate the volumes of specific brain regions.

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Publisher: Cambridge University Press
Print publication year: 2007

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References

Amunts, K., Schlaug, G., Jaencke, L., Steinmetz, H., Schleicher, A., Dabringhaus, A. & Zilles, K. (1997). Motor cortex and hand motor skills: Structural compliance in the human brain. Human Brain Mapping, 5, 206–215.3.0.CO;2-7>CrossRefGoogle ScholarPubMed
Andrews, T., Halpern, S. & Purves, D. (1997). Correlated size variations in human visual cortex, lateral geniculate nucleus, and optic tract. Journal of Neuroscience, 17, 2859–68.CrossRefGoogle ScholarPubMed
Aram, D. M. (1997). Hyperlexia: Reading without meaning in young children. Topics in Language Disorders, 17(3), 1–13.CrossRefGoogle Scholar
Aram, D. M. (1999). Neuroplasticity: Evidence from unilateral brain lesions in children. In Browman, S. & Fletcher, J. (eds), The changing nervous system: Neurobehavioral consequences of early brain disorders, 254–73. New York: Oxford University Press.Google Scholar
Aram, D. M., Gillespie, L. L. & Yamashita, T. S. (1990). Reading among children with left and right brain lesions. Developmental Neuropsychology, 6(4), 301–317.CrossRefGoogle Scholar
Bates, E. (1992). Language development. Current Opinion in Neurobiology, 2, 180–85.CrossRefGoogle ScholarPubMed
Case, R. (ed.) (1991). The mind's staircase: Exploring the conceptual underpinnings of children's thought and knowledge. Hillsdale: Erlbaum.Google Scholar
Caviness, V., Lange, N., Makris, M., Herbert, M. & Kennedy, D. (1999). MRI-based brain volumetrics: Emergence of a developmental brain science from a tool. Brain Development, 21, 289–95.CrossRefGoogle Scholar
Christiansen, M. & Kirby, S. (eds) (2003). Language evolution: The states of the art. Oxford, UK: Oxford University Press.CrossRefGoogle Scholar
Crystal, D. (1997). The Cambridge encyclopedia of language, second edition. Cambridge: Cambridge University Press.Google Scholar
Deacon, T. W. (1997). The symbolic species: The co-evolution of language and the brain. New York: W. W. Norton and Company.Google Scholar
Deacon, T. W. (2000). Evolutionary perspectives on language and brain plasticity. Journal of Communication Disorders, 33(4), 273–91.CrossRefGoogle ScholarPubMed
Deacon, T. W. (2003). Universal Grammar and semiotic constraints. In Christiansen, M. & Kirby, S. (eds), Language evolution: The states of the art, 111–39. Oxford, UK: Oxford University Press.CrossRefGoogle Scholar
Deacon, T. W. (2004). Monkey homologues of language areas: Computing the ambiguities. Trends in Cognitive Sciences, 8(7), 288–90.CrossRefGoogle ScholarPubMed
Dejerine, J. (1891). Sur un cas de cécité verbale avec agraphie, suivi d'autopsie. Mémoires de la Société de Biologie, 3, 197.Google Scholar
Diamond, M. C. (2001). Response of the brain to enrichment. Annals of the Brazilian Academy of Sciences, 73, 211–20.CrossRefGoogle ScholarPubMed
Fawcett, A. & Nicolson, R. (1999). Performance of dyslexic children on cerebellar and cognitive tests. Journal of Motor Behavior, 31(1), 68–78.CrossRefGoogle ScholarPubMed
Fawcett, A., Nicolson, R. & Dean, P. (1996). Impaired performance of children with dyslexia on a range of cerebellar tasks. Annals of Dyslexia, 46, 259–83.CrossRefGoogle ScholarPubMed
Filipek, P. A., Richelme, C., Kennedy, D. N. & Caviness, V. (1994). The young adult human brain: An MRI-based morphometric analysis. Cerebral Cortex, 4, 344–60.CrossRefGoogle Scholar
Fink, R. (1993). How successful dyslexics learn to read. Teaching, Thinking and Problem Solving, 15(5), 1–6.Google Scholar
Fischer, K. W. (1980). A theory of cognitive development: The control and construction of hierarchies of skills. Psychological Review, 87, 477–531.CrossRefGoogle Scholar
Fischer, K. W. & Bidell, T. R. (1998). Dynamic development of psychological structures in action and thought. In Lerner, R. M. (ed.), Handbook of child psychology: Theoretical models of human development, 5th edn, Vol. 1, 467–561. New York: Wiley.Google Scholar
Fischer, K. W. & Immordino-Yang, M. H. (2002). Cognitive development and education: From dynamic general structure to specific learning and teaching. In Lagemann, E. (ed.), Traditions of scholarship in education. Chicago: Spencer Foundation.Google Scholar
Friston, K. (1998). Imaging neuroscience: Principles or maps?Proceedings of the National Academic of Sciences (USA), 95, 796–802.CrossRefGoogle ScholarPubMed
Galaburda, A. M. (1995). Anatomic basis of cerebral dominance. In Davidson, R. & Hugdahl, K. (eds), Brain asymmetry, 51–73. Cambridge: MIT Press.Google Scholar
Galaburda, A. M. & Kemper, T. L. (1979). Cytoarchitectonic abnormalities in developmental dyslexia: A case study. Annals of Neurology, 6, 94–100.CrossRefGoogle ScholarPubMed
Galaburda, A. M. & Livingstone, M. (1993). Evidence for a magnocellular defect in developmental dyslexia. In Tallal, P. & Galaburda, A. (eds), Temporal information processing in the nervous system: Special reference to dyslexia and dysphasia, Vol. 682, 70–82.
Galaburda, A. M., Rosen, G. & Sherman, G. (1990). Individual variability in cortical organization: Its relationship to brain laterality and implications to function. Neuropsychologia, 28(6), 529–46.CrossRefGoogle Scholar
Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books.Google Scholar
Geschwind, N. (1982). Why Orton was right. Annals of Dyslexia, 32, 13–30.CrossRefGoogle Scholar
Geschwind, N. (1983). Biological associations of left-handedness. Annals of Dyslexia, 33, 29–40.CrossRefGoogle Scholar
Geschwind, N. (1984). The brain of a learning-disabled individual. Annals of Dyslexia, 34, 319–27.CrossRefGoogle ScholarPubMed
Hauser, M. D., Chomsky, N. & Fitch, W. T. (2002). The faculty of language: What is it, who has it, and how did it evolve?Science, 298, 1569–79.CrossRefGoogle ScholarPubMed
Huttenlocher, P. R. (2002). Neural plasticity: The effects of environment on the development of the cerebral cortex. Cambridge, MA: Harvard University Press.Google Scholar
Immordino-Yang, M. (2004). A tale of two cases: Emotion and affective prosody after left and right hemispherectomy. Unpublished doctoral dissertation, Harvard University Graduate School of Education, Cambridge, MA.
Kennedy, D., Lange, N., Makris, N., Bates, J. & Caviness, V. (1998). Gyri of the human neocortex: An MRI-based analysis of volumes and variance. Cerebral Cortex, 8, 372–85.CrossRefGoogle Scholar
Kushch, A., Gross-Glenn, K., Jallad, B., Lubs, H., Rabin, M., Feldman, E. & Duara, R. (1993). Temporal lobe surface area measurements on MRI in normal and dyslexic readers. Neuropsychologia, 31(8), 811–21.CrossRefGoogle ScholarPubMed
Lieberman, P. (2002). On the nature and evolution of the neural bases of human language. American Journal of Physical Anthropology, 119(S35), 36–62.CrossRefGoogle Scholar
Marchman, V., Miller, R. & Bates, E. (1991). Babble and first words in children with focal brain injury. Applied Psycholinguistics, 12, 1–22.CrossRefGoogle Scholar
Mesulam, M.-M. (1990). Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Annals of Neurology, 28, 597–613.CrossRefGoogle Scholar
Mesulam, M.-M. (1998). From sensation to cognition. Brain, 121, 1013–1052.CrossRefGoogle Scholar
Mills, D., Coffey-Corina, S. & Neville, H. (1994). Variability in cerebral organization during primary language acquisition. In Dawson, G. & Fischer, K. (eds), Human behavior and the developing brain, 427–55. New York: Guilford Press.Google Scholar
Nation, K. (1999). Reading skills in hyperlexia: A developmental perspective. Psychological Bulletin, 125(3), 338–55.CrossRefGoogle ScholarPubMed
Ojemann, G. A. (1979). Individual variability in cortical localization of language. Journal of Neurosurgery, 50, 164–9.CrossRefGoogle ScholarPubMed
Ojemann, G. A. (1991). Cortical organization of language. Journal of Neuroscience, 11, 2281–7.CrossRefGoogle ScholarPubMed
Pennington, B. F., Filipek, P. A., Lefly, D., Churchwell, J., Kennedy, D. N., Simon, J. H., Filley, C. M., Galaburda, A., Alarcon, M. & DeFries, J. C. (1999). Brain morphometry in reading-disabled twins. Neurology, 53(4), 723–9.CrossRefGoogle ScholarPubMed
Pitchford, N. (2000). Spoken language correlates of reading impairments acquired in childhood. Brain and Language, 72(2), 129–49.CrossRefGoogle ScholarPubMed
Raichle, M. E., Fiez, J. A., Videen, T. O., MacLeod, A. M., Pardo, J. V., Fox, P. T. & Petersen, S. E. (1994). Practice-related changes in human brain functional anatomy during non-motor learning. Cerebral Cortex, 4(1), 8–26.CrossRefGoogle Scholar
Rispens, J. & Van Berckelaer, I. A. (1991). Hyperlexia: Definition and criterion. In Malatesha, R. (ed.), Written language disorders. Neuropsychology and cognition, Vol. 2, 143–63. Dordrecht, Netherlands: Kluwer Academic Publishers.Google Scholar
Rose, D. & Meyer, A. (2002). Teaching every student in the digital age. Alexandria, VA: American Association for Supervision & Curriculum Development.Google Scholar
Rumsey, J. M., Donohue, B. C., Brady, D. R., Nace, K., Giedd, J. N. & Andreason, P. (1997). A magnetic resonance imaging study of planum temporale asymmetry in men with developmental dyslexia. Archives of Neurology, 54(12), 1481–9.CrossRefGoogle ScholarPubMed
Satz, P., Strauss, E. & Whitaker, H. (1990). The ontogeny of hemispheric specialization: Some old hypotheses revisited. Brain and Language, 38, 596–614.CrossRefGoogle ScholarPubMed
Schultz, R. T., Cho, N. K., Staib, L. H., Kier, L. E., Fletcher, J. M., Shaywitz, S. E., Shankweiler, D. P., Katz, L., Gore, J. C., Duncan, J. S. & Shaywitz, R. A. (1994). Brain morphology in normal and dyslexic children: The influence of sex and age. Annals of Neurology, 35(6), 732–42.CrossRefGoogle ScholarPubMed
Tallal, P., Merzenich, M. M., Miller, S. & Jenkins, W. (1998). Language learning impairments: Integrating basic science, technology, and remediation. Experimental Brain Research, 123(1–2), 210–19.CrossRefGoogle ScholarPubMed
Thal, D., Marchman, V., Stiles, J., Aram, D., Trauner, D., Nass, R. & Bates, E. (1991). Lexical development in children with focal brain injury. Brain and Language, 40, 491–527.CrossRefGoogle ScholarPubMed
Uylings, H. B., Kuypers, K., Diamond, M. C. & Veltman, W. A. (1978). Effects of differential environments on plasticity of dendrites of cortical pyramidal neurons in adult rats. Experimental Neurology, 62, 658–77.CrossRefGoogle ScholarPubMed
Vicari, S., Albertoni, A., Chilosi, A., Cipriani, P., Cioni, G. & Bates, E. (2000). Plasticity and reorganization during language development in children with early brain injury. Cortex, 36(1), 31–46.CrossRefGoogle ScholarPubMed
Wolf, M. & Katzir-Cohen, T. (2001). Reading fluency and its intervention. Scientific Studies of Reading, 5, 211–39.CrossRefGoogle Scholar
Wulfeck, B., Trauner, D. & Tallal, P. (1991). Neurologic, cognitive and linguistic features of infants after focal brain injury. Pediatric Neurology, 7, 266–9.CrossRefGoogle Scholar
Zatorre, R., Perry, D., Beckett, C., Westbury, C. & Evans, A. (1998) Functional anatomy of musical processing in listeners with absolute pitch and relative pitch. Proceedings of the National Academic of Sciences (USA), 95, 3172–7.CrossRefGoogle ScholarPubMed

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