Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

An anatomical signature for literacy

Abstract

Language is a uniquely human ability that evolved at some point in the roughly 6,000,000 years since human and chimpanzee lines diverged1,2. Even in the most linguistically impoverished environments, children naturally develop sophisticated language systems3. In contrast, reading is a learnt skill that does not develop without intensive tuition and practice. Learning to read is likely to involve ontogenic structural brain changes4,5,6, but these are nearly impossible to isolate in children owing to concurrent biological, environmental and social maturational changes. In Colombia, guerrillas are re-integrating into mainstream society and learning to read for the first time as adults. This presents a unique opportunity to investigate how literacy changes the brain, without the maturational complications present in children. Here we compare structural brain scans from those who learnt to read as adults (late-literates) with those from a carefully matched set of illiterates. Late-literates had more white matter in the splenium of the corpus callosum and more grey matter in bilateral angular, dorsal occipital, middle temporal, left supramarginal and superior temporal gyri. The importance of these brain regions for skilled reading was investigated in early literates, who learnt to read as children. We found anatomical connections linking the left and right angular and dorsal occipital gyri through the area of the corpus callosum where white matter was higher in late-literates than in illiterates; that reading, relative to object naming, increased the interhemispheric functional connectivity between the left and right angular gyri; and that activation in the left angular gyrus exerts top-down modulation on information flow from the left dorsal occipital gyrus to the left supramarginal gyrus. These findings demonstrate how the regions identified in late-literates interact during reading, relative to object naming, in early literates.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: The effect of literacy on brain structure.
Figure 2: Anatomical connectivity results.
Figure 3: Functional connectivity results.

Similar content being viewed by others

References

  1. Hauser, M. D., Chomsky, N. & Fitch, W. T. The faculty of language: what is it, who has it, and how did it evolve? Science 298, 1569–1579 (2002)

    Article  ADS  CAS  Google Scholar 

  2. Fisher, S. E. & Marcus, G. F. The eloquent ape: genes, brains and the evolution of language. Nature Rev. Genet. 7, 9–20 (2006)

    Article  CAS  Google Scholar 

  3. Senghas, A., Kita, S. & Ozyurek, A. Children creating core properties of language: evidence from an emerging sign language in Nicaragua. Science 305, 1779–1782 (2004)

    Article  ADS  CAS  Google Scholar 

  4. Draganski, B. et al. Neuroplasticity: changes in grey matter induced by training. Nature 427, 311–312 (2004)

    Article  ADS  CAS  Google Scholar 

  5. Castro-Caldas, A. et al. Influence of learning to read and write on the morphology of the corpus callosum. Eur. J. Neurol. 6, 23–28 (1999)

    Article  ADS  CAS  Google Scholar 

  6. Petersson, K. M., Silva, C., Castro-Caldas, A., Ingvar, M. & Reis, A. Literacy: a cultural influence on functional left–right differences in the inferior parietal cortex. Eur. J. Neurosci. 26, 791–799 (2007)

    Article  Google Scholar 

  7. Turkeltaub, P. E., Gareau, L., Flowers, D. L., Zeffiro, T. A. & Eden, G. F. Development of neural mechanisms for reading. Nature Neurosci. 6, 767–773 (2003)

    Article  CAS  Google Scholar 

  8. Price, C. J. & Mechelli, A. Reading and reading disturbance. Curr. Opin. Neurobiol. 15, 231–238 (2005)

    Article  CAS  Google Scholar 

  9. Damasio, A. R. & Damasio, H. The anatomic basis of pure alexia. Neurology 33, 1573–1583 (1983)

    Article  CAS  Google Scholar 

  10. Sowell, E. R. et al. Longitudinal mapping of cortical thickness and brain growth in normal children. J. Neurosci. 24, 8223–8231 (2004)

    Article  CAS  Google Scholar 

  11. Price, C. J. et al. How reading differs from object naming at the neuronal level. Neuroimage 29, 643–648 (2006)

    Article  CAS  Google Scholar 

  12. Lundberg, I., Olofsson, Å. & Wall, S. Reading and spelling skills in the first school years predicted from phonemic awareness skills in kindergarten. Scand. J. Psychol. 21, 159–173 (1980)

    Article  Google Scholar 

  13. Morais, J., Cary, L., Alegria, J. & Bertelson, P. Does awareness of speech as a sequence of phones arise spontaneously? Cognition 7, 323–331 (1979)

    Article  Google Scholar 

  14. Carreiras, M. & Grainger, J. Sublexical representations and the ‘front end’ of visual word recognition. Lang. Cogn. Process. 19, 321–331 (2004)

    Article  Google Scholar 

  15. Booth, J. R. et al. Development of brain mechanisms for processing orthographic and phonologic representations. J. Cogn. Neurosci. 16, 1234–1249 (2004)

    Article  Google Scholar 

  16. Wagner, R. K. & Torgesen, J. K. The nature of phonological processing and its causal role in the acquisition of reading skills. Psychol. Bull. 101, 192–212 (1987)

    Article  Google Scholar 

  17. Brambati, S. M. et al. Neuropsychological deficits and neural dysfunction in familial dyslexia. Brain Res. 1113, 174–185 (2006)

    Article  CAS  Google Scholar 

  18. Hoeft, F. et al. Neural basis of dyslexia: a comparison between dyslexic and nondyslexic children equated for reading ability. J. Neurosci. 26, 10700–10708 (2006)

    Article  CAS  Google Scholar 

  19. Silani, G. et al. Brain abnormalities underlying altered activation in dyslexia: a voxel based morphometry study. Brain 128, 2453–2461 (2005)

    Article  CAS  Google Scholar 

  20. Steinbrink, C. et al. The contribution of white and gray matter differences to developmental dyslexia: insights from DTI and VBM at 3.0 T. Neuropsychologia 46, 3170–3178 (2008)

    Article  CAS  Google Scholar 

  21. Dougherty, R. F. et al. Temporal-callosal pathway diffusivity predicts phonological skills in children. Proc. Natl Acad. Sci. USA 104, 8556–8561 (2007)

    Article  ADS  CAS  Google Scholar 

  22. Robichon, F. & Habib, M. Abnormal callosal morphology in male adult dyslexics: Relationships to handedness and phonological abilities. Brain Lang. 62, 127–146 (1998)

    Article  CAS  Google Scholar 

  23. Rumsey, J. M. et al. Corpus callosum morphology, as measured with MRI, in dyslexic men. Biol. Psychiatry 39, 769–795 (1996)

    Article  CAS  Google Scholar 

  24. Pugh, K. R. et al. Neurobiological studies of reading and reading disability. J. Commun. Disord. 34, 479–492 (2001)

    Article  CAS  Google Scholar 

  25. Shaywitz, B. A. et al. Disruption of posterior brain systems for reading in children with developmental dyslexia. Biol. Psychiatry 52, 101–110 (2002)

    Article  Google Scholar 

  26. Paulesu, E. et al. A cultural effect on brain function. Nature Neurosci. 3, 91–96 (2000)

    Article  CAS  Google Scholar 

  27. Binder, J. R. & Mohr, J. P. The topography of callosal reading pathways. A case-control analysis. Brain 115, 1807–1826 (1992)

    Article  Google Scholar 

  28. Dejerine, J. Contribution a l’étude anatomo-pathologique et clinique des differentes varietés de cecité verbale. Mem. Soc. Biol. Fr. 4, 61–90 (1892)

    Google Scholar 

  29. Geschwind, N. Disconnexion syndromes in animals and man. Brain 88, 237–294 (1965)

    Article  CAS  Google Scholar 

  30. Price, C. J. The anatomy of language: contributions from functional neuroimaging. J. Anat. 197, 335–359 (2000)

    Article  Google Scholar 

  31. Oldfield, R. C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9, 97–113 (1971)

    Article  CAS  Google Scholar 

  32. Peña-Casanova, J. Programa Integrado de Exploración Neuropsicológica: Test Barcelona (Masson, 1995)

    Google Scholar 

  33. Folstein, M. F., Folstein, S. & McHugh, P. R. ‘Mini-mental state’: a practical method for grading the cognitive state of patients for the clinician. J. Psych. Res 12, 189–198 (1975)

    Article  CAS  Google Scholar 

  34. Wechsler, D. Wechsler Memory Scale Revised (Psychological Corporation, 1987)

    Google Scholar 

  35. Raven, J. C. Progressive Matrices: A Perceptual Test of Intelligence (Lewis, 1938)

    Google Scholar 

  36. Snodgrass, J. G. & Vanderwart, M. A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity. J. Exp. Psychol. Hum. Learn. Mem. 6, 174–215 (1980)

    Article  CAS  Google Scholar 

  37. Spreen, O. & Strauss, E. A Compendium of Neuropsychological Tests (Oxford Univ. Press, 1991)

    Google Scholar 

  38. Cuetos Vega, F., Rodríguez, B. & Ruano Hernández, E. (1996). Batería de Evaluación de los Procesos Lectores de los Niños de Educación Primaria (PROLEC) (T.E.A. Ediciones, 1996)

    Google Scholar 

  39. Ashburner, J. & Friston, K. J. Unified segmentation. Neuroimage 26, 839–851 (2005)

    Article  Google Scholar 

  40. Reis, A. & Castro-Caldas, A. Illiteracy. A bias for cognitive development. J. Int. Neuropsychol. Soc. 3, 444–450 (1997)

    CAS  PubMed  Google Scholar 

  41. Reis, A., Guerreiro, M. & Petersson, K. M. A sociodemographic and neuropsychological characterization of an illiterate population. Appl. Neuropsychol. 10, 191–204 (2003)

    Article  Google Scholar 

  42. Cohen, L. et al. The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. Brain 123, 291–307 (2000)

    Article  Google Scholar 

  43. Jones, D. K., Horsfield, M. A. & Simmons, A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn. Reson. Med. 42, 515–525 (1999)

    Article  CAS  Google Scholar 

  44. Jenkinson, M., Bannister, P., Brady, M. & Smith, S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17, 825–841 (2002)

    Article  Google Scholar 

  45. Behrens, T. E., Berg, H. J., Jbabdi, S., Rushworth, M. F. & Woolrich, M. W. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? Neuroimage 34, 144–155 (2007)

    Article  CAS  Google Scholar 

  46. Behrens, T. E. J. et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn. Reson. Med. 50, 1077–1088 (2003)

    Article  CAS  Google Scholar 

  47. Weiskopf, N., Hutton, C., Josephs, O. & Deichmann, R. Optimal EPI parameters for reduction of susceptibility-induced BOLD sensitivity losses: A whole-brain analysis at 3 T and 1.5 T. Neuroimage 33, 493–504 (2006)

    Article  Google Scholar 

  48. Stephan, K. E., Marshall, J. C., Penny, W. D., Friston, K. J. & Fink, G. R. Interhemispheric integration of visual processing during task-driven lateralization. J. Neurosci. 27, 3512–3522 (2007)

    Article  CAS  Google Scholar 

  49. Friston, K. J., Harrison, L. & Penny, W. Dynamic causal modelling. Neuroimage 19, 1273–1302 (2003)

    Article  CAS  Google Scholar 

  50. Penny, W. D., Stephan, K. E., Mechelli, A. & Friston, K. J. Modelling functional integration: a comparison of structural equation and dynamic causal models. Neuroimage 23, S264–S274 (2004)

    Article  Google Scholar 

Download references

Acknowledgements

We thank K. Friston for advice on data analyses and A. Leff, T. Münte and T. Shallice for their help with the presentation of the manuscript. This work was funded by a CONSOLIDER-INGENIO grant from the Spanish Ministry of Education and Science and by the Wellcome Trust.

Author Contributions M.C., M.L.S., J.T.D. and C.J.P. designed the experiments, performed the data analyses and wrote the paper. S.B., A.E. and A.L. performed experiment one.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Manuel Carreiras or Cathy J. Price.

Supplementary information

Supplementary Information

This file contains Supplementary Methods and Notes, Supplementary References, Supplementary Tables S1-S2 and Supplementary Figures S1 and S2 with Legends. (PDF 240 kb)

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Cite this article

Carreiras, M., Seghier, M., Baquero, S. et al. An anatomical signature for literacy. Nature 461, 983–986 (2009). https://doi.org/10.1038/nature08461

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature08461

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing