Skip to main content
Log in

Phonological awareness predicts activation patterns for print and speech

  • Published:
Annals of Dyslexia Aims and scope Submit manuscript

Abstract

Using fMRI, we explored the relationship between phonological awareness (PA), a measure of metaphonological knowledge of the segmental structure of speech, and brain activation patterns during processing of print and speech in young readers from 6 to 10 years of age. Behavioral measures of PA were positively correlated with activation levels for print relative to speech tokens in superior temporal and occipito-temporal regions. Differences between print-elicited activation levels in superior temporal and inferior frontal sites were also correlated with PA measures with the direction of the correlation depending on stimulus type: positive for pronounceable pseudowords and negative for consonant strings. These results support and extend the many indications in the behavioral and neurocognitive literature that PA is a major component of skill in beginning readers and point to a developmental trajectory by which written language engages areas originally shaped by speech for learners on the path toward successful literacy acquisition.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. Our interest in including the semantic mismatch condition is to address a longitudinal question about the relative influence of semantic and phonological processes over time and is therefore not examined in the context of this report focused on data acquired at entry into the study.

  2. As shown in Tables 2 and 3, sites in STG show the same pattern of correlations. In the interest of brevity and simplicity, we selected just one of the sites for illustrating the pattern and for use in the multiple regression analyses described below.

  3. Word Attack scores (mean raw score = 17.78; SD = 6.97; range 3–30) were not obtained for one of the participants; therefore these analyses only include data from 42 of the 43 participants.

  4. Our approach was to examine the correlation between raw PA skill and functional activation. However, we did conduct multiple regression analyses with age as a predictor in order to ensure that the effects in the regions of interest we report were not accounted for or qualified by individual differences in age. We felt that this was particularly important for the analyses involving elision and blending given that studies have suggested that blending more accurately discriminates metaphonological skill in younger children, whereas and elision is a better discriminator in older children. Results of the analyses revealed no effect of age, and all of the effects for each region discussed remained significant.

References

  • Anthony, J. L., Williams, J. M., McDonald, R., & Francis, D. J. (2007). Phonological processing and emergent literacy in younger and older preschool children. Annals of Dyslexia, 57, 113–137. doi:10.1007/s11881-007-0008-8.

    Article  Google Scholar 

  • Ball, E. W., & Blachman, B. A. (1991). Does phoneme awareness training in kindergarten make a difference in early word recognition and developmental spelling? Reading Research Quarterly, 26, 49–66. doi:10.1598/RRQ.26.1.3.

    Article  Google Scholar 

  • Booth, J. R., Burman, D. D., Van Santen, F. W., Harasaki, Y., Gitelman, D. R., Parrish, T. B., & Mesulam, M. M. (2001). The development of specialized brain systems for reading and oral-language. Child Neuropsychology, 7, 119–141. doi:10.1076/chin.7.3.119.8740.

    Google Scholar 

  • Bradley, L., & Bryant, P. E. (1983). Categorising sounds and learning to read—A causal connection. Nature, 301, 419–521. doi:10.1038/301419a0.

    Article  Google Scholar 

  • Brunswick, N., McCrory, E., Price, C., Frith, C. D., & Frith, U. (1999). Explicit and implicit processing of words and pseudowords by adult developmental dyslexics: A search for Wernicke’s Wortschatz? Brain, 122, 1901–1917. doi:10.1093/brain/122.10.1901.

    Article  Google Scholar 

  • Burton, M. W., Small, S. L., & Blumstein, S. E. (2000). The role of segmentation in phonological processing: an fMRI investigation. Journal of Cognitive Neuroscience, 12, 679–690. doi:10.1162/089892900562309.

    Article  Google Scholar 

  • Castles, A., & Coltheart, M. (2004). Is there a causal link from phonological awareness to success in learning to read? Cognition, 91, 77–111. doi:10.1016/S0010-0277(03)00164-1.

    Article  Google Scholar 

  • Castro-Caldas, A., Petersson, K. M., Reis, A., Stone-Elander, S., & Ingvar, M. (1998). The illiterate brain. Learning to read and write during childhood influences the functional organization of the adult brain. Brain, 121, 1053–1063. doi:10.1093/brain/121.6.1053.

    Article  Google Scholar 

  • Chee, M., O’Craven, K. M., Bergida, R., Rosen, B. R., & Savoy, R. L. (1999). Auditory and visual word processing studies with fMRI. Human Brain Mapping, 7, 15–28. doi:10.1002/(SICI)1097-0193(1999)7:1<15::AID-HBM2>3.0.CO;2-6.

    Article  Google Scholar 

  • Dunn, L., & Dunn, L. (1997). Peabody picture vocabulary test: Third edition. Circle Pines, MN: American Guidance Service.

    Google Scholar 

  • Fiez, J. A., & Peterson, S. E. (1998). Neuroimaging studies of word reading. Proceedings of the National Academy of Sciences of the United States of America, 95, 914–921. doi:10.1073/pnas.95.3.914.

    Article  Google Scholar 

  • Foorman, B. R., Francis, D., Fletcher, J. K., Schatschneider, C., & Mehta, P. (1998). The role of instruction in learning to reading: preventing reading failure in at-risk children. Journal of Educational Psychology, 90, 37–55. doi:10.1037/0022-0663.90.1.37.

    Article  Google Scholar 

  • Friston, K. J., Ashburner, J., Frith, C. D., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995). Spatial registration and normalization of images. Human Brain Mapping, 2, 165–189.

    Article  Google Scholar 

  • Frost, S. J., Mencl, W. E., Sandak, R., Moore, D. L., Rueckl, J., Katz, L., Fulbright, R. K., & Pugh, K. R. (2005). An fMRI study of the trade-off between semantics and phonology in reading aloud. Neuroreport, 16, 621–624. doi:10.1097/00001756-200504250-00021.

    Article  Google Scholar 

  • Genovese, C. R., Lazar, N. A., & Nichols, T. (2002). Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage, 15, 870–878. doi:10.1006/nimg.2001.1037.

    Article  Google Scholar 

  • Goswami, U., & Bryant, P. (1990). Phonological skills and learning to read. London: Erlbaum.

    Google Scholar 

  • Hadjikhani, N., & Roland, P. E. (1998). Cross-modal transfer of information between the tactile and the visual representations in the human brain: A positron emission tomographic study. The Journal of Neuroscience, 18, 1072–1084.

    Google Scholar 

  • Hillis, A. E., Newhart, M., Heidler, J., Barker, P., Herskovits, E., & Degaonkar, M. (2005). The roles of the “visual word form area” in reading. NeuroImage, 24, 548–599. doi:10.1016/j.neuroimage.2004.08.026.

    Article  Google Scholar 

  • Hoeft, F., Meyler, A., Hernandez, A., Juel, C., Taylor-Hill, H., Martindale, J. L., McMillon, G., Kolchugina, G., Black, J. M., Faizi, A., Deutsch, G. K., Siok, W. T., Reiss, A. L., Whitfield-Gabrieli, S., & Gabrieli, J. D. E. (2007). Functional and morphometric brain dissociation between dyslexia and reading ability. Proceedings of the National Academy of Sciences of the United States of America, 104, 4234–4239. doi:10.1073/pnas.0609399104.

    Article  Google Scholar 

  • Katzir, T., Misra, M., & Poldrack, R. A. (2005). Imaging phonology without print: Assessing the neural correlates of phonemic awareness using fMRI. NeuroImage, 27, 106–115. doi:10.1016/j.neuroimage.2005.04.013.

    Article  Google Scholar 

  • Kirk, R. E. (1982). Experimental design: Procedures for the social sciences. Belmont, CA: Wadsworth.

    Google Scholar 

  • Miezin, F. M., Maccotta, L., Ollinger, J. M., Petersen, S. E., & Buckner, R. L. (2000). Characterizing the hemodynamic response: Effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing. NeuroImage, 11, 735–759. doi:10.1006/nimg.2000.0568.

    Article  Google Scholar 

  • Morais, J. (1993). Reading disabilities: Diagnosis and component processes. In R. M. Joshi, & C. K. Leong (Eds.), (pp. 175–184). Dordrecht, Netherlands: Kluwer Academic.

  • Papademetris, X., Jackowski, A. P., Schultz, R. T., Staib, L. H., & Duncan, J. S. (2003). Computing 3D non-rigid brain registrations using extended robust point matching for composite multisubject fMRI analysis. In R. E. Ellis, & T. M. Peters (Eds.), Medical image computing and computer assisted intervention (pp. 788–795). Berlin: Springer-Verlag.

    Google Scholar 

  • Paulesu, E., Demonet, J. -F., Fazio, F., McCrory, E., Chanoine, V., Brunswick, N., Cappa, S. F., Cossu, G., Habib, M., Frith, C. D., & Frith, U. (2001). Dyslexia: Cultural diversity and biological unity. Science, 291, 2165–2167. doi:10.1126/science.1057179.

    Article  Google Scholar 

  • Perfetti, C. A., Beck, I., Bell, L. C., & Hughes, C. (1987). Phonemic knowledge and learning to read are reciprocal: A longitudinal study of first grade children. Merrill-Palmer Quarterly, 33, 283–319.

    Google Scholar 

  • Petersson, K. M., Silva, C., Castro-Caldas, A., Ingvar, M., & Reis, A. (2007). Literacy: a cultural influence on functional left-right differences in the inferior parietal cortex. The European Journal of Neuroscience, 26, 791–799. doi:10.1111/j.1460-9568.2007.05701.x.

    Article  Google Scholar 

  • Poldrack, R. A., Wagner, A. D., Prull, M. W., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. (1999). Functional specialization for semantic and phonological processing in the left inferior prefrontal cortex. NeuroImage, 10, 15–35. doi:10.1006/nimg.1999.0441.

    Article  Google Scholar 

  • Psychological Corporation. (1999). Wechsler abbreviated scale of intelligence. San Antonio, TX: The Psychological Corporation.

    Google Scholar 

  • Pugh, K. R., Shaywitz, B. A., Shaywitz, S. E., Constable, T. R., Skudlarski, P., Fulbright, R. K., Bronen, R. A., Shankweiler, D. P., Katz, L., Fletcher, J. M., & Gore, J. C. (1996). Cerebral organization of component processes in reading. Brain, 119, 1221–1238. doi:10.1093/brain/119.4.1221.

    Article  Google Scholar 

  • Pugh, K. R., Shaywitz, B. A., Shaywitz, S. E., Shankweiler, D. P., Katz, L., Fletcher, J. M., Skudlarski, P., Fulbright, R. K., Constable, R. T., Bronen, R. A., Lacadie, C., & Gore, J. C. (1997). Predicting reading performance from neuroimaging profiles: The cerebral basis of phonological effects in printed word identification. Journal of Experimental Psychology. Human Perception and Performance, 23(2), 299–318. doi:10.1037/0096-1523.23.2.299.

    Article  Google Scholar 

  • Rumsey, J. M., Nace, K., Donohue, B., Wise, D., Maisog, J. M., & Andreason, P. (1997). A positron emission tomographic study of impaired word recognition and phonological processing in dyslexic men. Archives of Neurology, 54, 562–573.

    Google Scholar 

  • Salmelin, R., Service, E., Kiesila, P., Uutela, K., & Salonen, O. (1996). Impaired visual word processing in dyslexia revealed with magnetoencephalography. Annals of Neurology, 40, 157–162. doi:10.1002/ana.410400206.

    Article  Google Scholar 

  • Scarborough, H. S. (1998). Early identification of children at risk for disabilities: Phonological awareness and some other promising predictors. In B. K. Shapiro, P. J. Accardo, & A. J. Capute (Eds.), Specific reading disability: A view of the spectrum (pp. 75–119). Timonium, MD: York Press.

    Google Scholar 

  • Schatschneider, C., Francis, D. J., Foorman, B. R., Fletcher, J. M., & Mehta, P. (1999). The dimensionality of phonological awareness: an application of item response theory. Journal of Educational Psychology, 91, 439–449. doi:10.1037/0022-0663.91.3.439.

    Article  Google Scholar 

  • Shaywitz, S. E., Shaywitz, B. A., Pugh, K. R., Fulbright, R. K., Constable, R. T., Mencl, W. E., Shankweiler, D. P., Liberman, A. M., Skudlarski, P., Fletcher, J. M., Katz, L., Marchione, K. E., Lacadie, C., Gatenby, C., & Gore, J. C. (1998). Functional disruption in the organization of the brain for reading in dyslexia. Proceedings of the National Academy of Sciences of the United States of America, 95, 2636–2641. doi:10.1073/pnas.95.5.2636.

    Article  Google Scholar 

  • Shaywitz, B. A., Shaywitz, S. E., Pugh, K. R., Mencl, W. E., Fullbright, R. K., Skudlarski, P., Constable, R. T., Marchione, K. E., Fletcher, J. M., Lyon, G. R., & Gore, J. C. (2002). Disruption of posterior brain systems for reading in children with developmental dyslexia. Biological Psychiatry, 52, 101–110. doi:10.1016/S0006-3223(02)01365-3.

    Article  Google Scholar 

  • Shaywitz, B. A., Shaywitz, S. E., Blachman, B., Pugh, K., Fulbright, R., Skudlarski, P., et al. (2004). Development of left occipito-temporal systems for skilled reading in children after a phonologically-based intervention. Biological Psychiatry, 55, 926–933. doi:10.1016/j.biopsych.2003.12.019.

    Article  Google Scholar 

  • Simos, P. G., Fletcher, J. M., Bergman, E., Breier, J. I., Foorman, B. R., Castillo, E. M., Davis, R. N., Fitzgerald, M., & Papanicolaou, A. C. (2002). Dyslexia—specific brain activation profile becomes normal following successful remedial training. Neurology, 58, 1203–1213.

    Google Scholar 

  • Stanovich, K. E., & Siegel, L. S. (1994). Phenotypic performance profile of children with reading disabilities: A regression-based test of the phonological-core variable-difference model. Journal of Educational Psychology, 86, 24–53. doi:10.1037/0022-0663.86.1.24.

    Article  Google Scholar 

  • Stanovich, K. E., Cunningham, A. E., & Cramer, B. B. (1984). Assessing phonological awareness in kindergarten children: issues of task comparability. Journal of Experimental Child Psychology, 38, 175–190. doi:10.1016/0022-0965(84)90120-6.

    Article  Google Scholar 

  • Temple, E., Deutsch, G. K., Poldrack, R. A., Miller, S. L., Tallal, P., Merzenich, M. M., & Gabrieli, J. D. E. (2003). Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 100, 2860–2865. doi:10.1073/pnas.0030098100.

    Article  Google Scholar 

  • Torgesen, J. K., Morgan, S. T., & Davis, C. (1992). Effects of two types of phonological awareness training on word learning in kindergarten children. Journal of Educational Psychology, 84, 364–370. doi:10.1037/0022-0663.84.3.364.

    Article  Google Scholar 

  • Torgesen, J. K., Wagner, R. K., & Rashotte, C. A. (1999). Test of word reading efficiency (TOWRE). Austin, TX: Pro-Ed.

    Google Scholar 

  • Torgesen, J. K., Wagner, R. K., Rashotte, C. A., Rose, E., Lindamood, P., Conway, T., & Garvan, C. (1999). Preventing reading failure in young children with phonological processing disabilities: Group and individual responses to instruction. Journal of Educational Psychology, 91(4), 579–593. doi:10.1037/0022-0663.91.4.579.

    Article  Google Scholar 

  • Turkeltaub, P. E., Gareau, L., Flowers, D. L., Zeffiro, T. A., & Eden, G. F. (2003). Development of neural mechanisms for reading. Nature Neuroscience, 6, 767–773. doi:10.1038/nn1065.

    Article  Google Scholar 

  • Vloedgraven, J. M. T., & Verhoeven, L. (2007). Screening of phonological awareness in the early elementary grades: an IRT approach. Annals of Dyslexia, 57, 33–50.

    Article  Google Scholar 

  • Wagner, R. K., Torgesen, J. K., & Rashotte, C. A. (1994). Development of reading-related phonological processing abilities: New evidence of bi-directional causality from a latent variable longitudinal study. Developmental Psychology, 30, 73–87. doi:10.1037/0012-1649.30.1.73.

    Article  Google Scholar 

  • Wagner, R. K., Torgesen, J. K., & Rashotte, C. A. (1999). Comprehensive test of phonological processing. Austin, TX: Pro-Ed.

    Google Scholar 

  • Wise, B. W., & Olson, R. K. (1995). Computer-based phonological awareness and reading instruction. Annals of Dyslexia, 45, 99–122. doi:10.1007/BF02648214.

    Article  Google Scholar 

  • Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson III tests of cognitive abilities. Itasca, IL: Riverside.

    Google Scholar 

  • Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia, and skilled reading across languages: a psycholinguistic grain size theory. Psychological Bulletin, 131, 3–29. doi:10.1037/0033-2909.131.1.3.

    Article  Google Scholar 

Download references

Acknowledgments

This study is supported by National Institute of Child Health and Human Development grant HD 01994 to Carol Fowler (Haskins Laboratories) and NICHD grant HD 048830 to Kenneth R. Pugh (Yale University). We thank Gina DellaPorta, Kelley Delaney, and Ashley Zennis, for behavioral assessment and Hedy Serofin and Teri Hickey for help with imaging participants.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephen J. Frost.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Frost, S.J., Landi, N., Mencl, W.E. et al. Phonological awareness predicts activation patterns for print and speech. Ann. of Dyslexia 59, 78–97 (2009). https://doi.org/10.1007/s11881-009-0024-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11881-009-0024-y

Keywords

Navigation