Skip to main content
Log in

Dyslexia heterogeneity: cognitive profiling of Portuguese children with dyslexia

  • Published:
Reading and Writing Aims and scope Submit manuscript

Abstract

Recent studies have emphasized that developmental dyslexia is a multiple-deficit disorder, in contrast to the traditional single-deficit view. In this context, cognitive profiling of children with dyslexia may be a relevant contribution to this unresolved discussion. The aim of this study was to profile 36 Portuguese children with dyslexia from the 2nd to 5th grade. Hierarchical cluster analysis was used to group participants according to their phonological awareness, rapid automatized naming, verbal short-term memory, vocabulary, and nonverbal intelligence abilities. The results suggested a two-cluster solution: a group with poorer performance on phoneme deletion and rapid automatized naming compared with the remaining variables (Cluster 1) and a group characterized by underperforming on the variables most related to phonological processing (phoneme deletion and digit span), but not on rapid automatized naming (Cluster 2). Overall, the results seem more consistent with a hybrid perspective, such as that proposed by Pennington and colleagues (2012), for understanding the heterogeneity of dyslexia. The importance of characterizing the profiles of individuals with dyslexia becomes clear within the context of constructing remediation programs that are specifically targeted and are more effective in terms of intervention outcome.

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

Similar content being viewed by others

References

  • Araújo, S., Pacheco, A., Faísca, L., Petersson, K. M., & Reis, A. (2010). Visual rapid naming and phonological abilities: Different subtypes in dyslexic children. International Journal of Psychology, 45, 443–452.

    Article  Google Scholar 

  • Beneventi, H., Tønnessen, F. E., Ersland, L., & Hugdahl, K. (2010). Executive working memory processes in dyslexia: Behavioral and fMRI evidence. Scandinavian Journal of Psychology, 51, 192–202.

    Article  Google Scholar 

  • Bergmann, J., & Wimmer, H. (2008). A dual-route perspective on poor reading in a regular orthography: Evidence from phonological and orthographic lexical decisions. Cognitive Neuropsychology, 25(5), 653–676.

    Article  Google Scholar 

  • Blashfield, R. (1976). Mixture model tests of cluster-analysis, accuracy of four agglomerative hierarchical methods. Psychological Bulletin, 83(3), 377–388.

    Article  Google Scholar 

  • Blomert, L., & Vaessen, A. (2009). 3DM differential diagnostics for dyslexia, cognitive analysis of reading and spelling. Amsterdam: Boom Test Publishers.

    Google Scholar 

  • Chung, K. K. H., Ho, C. S.-H., Chan, D. W., Tsang, S.-M., & Lee, S.-H. (2010). Cognitive profiles of Chinese adolescents with dyslexia. Dyslexia, 16(1), 2–23.

    Article  Google Scholar 

  • Coltheart, M., Curtis, B., Atkins, P., & Haller, M. (1993). Models of reading aloud: Dual-route and parallel-distributed-processing approaches. Psychological Review, 100, 589–608.

    Article  Google Scholar 

  • Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. C. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108, 204–256.

    Article  Google Scholar 

  • Crews, K., & D’Amato, R. (2009). Subtyping children’s reading disabilities using a comprehensive neuropsychological measure. International Journal of Neuroscience, 119(10), 1615–1639.

    Article  Google Scholar 

  • Denckla, M., & Rudel, R. (1976). Rapid automatized naming (R.A.N.): Dyslexia differentiated from other learning disabilities. Neuropsychologia, 14, 471–479.

    Article  Google Scholar 

  • Escribano, C. (2007). Evaluation of the double-deficit hypothesis subtype classification of readers in Spanish. Journal of Learning Disabilities, 40(4), 319–330.

    Article  Google Scholar 

  • Faísca, L., Bramão, I., Araújo, S., Pacheco, A., & Reis, A. (2006). Corpus linguístico construído a partir de manuais escolares (Linguistic corpus from children textbooks). Paper presented at the VI Simpósio Nacional de Investigação em Psicologia, Universidade de Évora, Portugal.

  • Ferrer, E., Shaywitz, B. A., Holahan, J. M., Marchione, K., & Shaywitz, S. E. (2010). Uncoupling of reading and IQ over time: Empirical evidence for a definition of dyslexia. Psychological Science, 21, 93–101.

    Article  Google Scholar 

  • Gathercole, S. E., & Baddeley, A. D. (1993). Working memory and language. Hillside, NJ: Erlbaum.

    Google Scholar 

  • Hair, J., Anderson, R., Tatham, R., & Black, W. (1992). Multivariate data analysis with readings. New York, NY: Macmillan Publishing Company.

    Google Scholar 

  • Hedman, C. (2012). Profiling dyslexia in bilingual adolescents. International Journal of Speech-Language Pathology, 14(6), 529–542.

    Article  Google Scholar 

  • Heim, S., Tschierse, J., Amunts, K., Wilms, M., Vossel, S., Willmes, K., et al. (2008). Cognitive subtypes of dyslexia. Acta Neurobiologiae Experimentalis, 68(1), 73–82.

    Google Scholar 

  • Jackson, N. E., & Myers, M. G. (1982). Letter naming time, digit span, and precocious achievement. Intelligence, 6(3), 311–329.

    Article  Google Scholar 

  • Jimenez, J. E., Garcia de la Cadena, C., Siegel, L. S., O’Shanahan, I., Garcia, E., & Rodriguez, C. (2011). Gender ratio and cognitive profiles in dyslexia: A cross-national study. Reading and Writing, 24(7), 729–747.

    Article  Google Scholar 

  • King, W., Giess, S., & Lombardino, L. (2007). Subtyping of children with developmental dyslexia via bootstrap aggregated clustering and the gap statistic: Comparison with the double-deficit hypothesis. International Journal of Language & Communication Disorders, 42(1), 77–95.

    Article  Google Scholar 

  • Kirby, J., Georgiou, G., Martinussen, R., & Parrila, R. (2010). Naming speed and reading: From prediction to instruction. Reading Research Quarterly, 45, 341–362.

    Article  Google Scholar 

  • Landerl, K., Ramus, F., Moll, K., Lyytinen, H., Leppänen, P. H. T., Lohvansuu, K., et al. (2013). Predictors of developmental dyslexia in European orthographies with varying complexity. Journal of Child Psychology and Psychiatry, 54(6), 686–694.

    Article  Google Scholar 

  • Lovett, M. W., Steinbach, K. A., & Frijters, J. C. (2000). Remediating the core deficits of developmental reading disability: A double-deficit perspective. Journal of Learning Disabilities, 33, 334–358.

    Article  Google Scholar 

  • Lyon, G., Shaywitz, S., & Shaywitz, B. (2003). A definition of dyslexia. Annals of Dyslexia, 53, 1–14.

    Article  Google Scholar 

  • Martinez-Perez, T., Majerus, S., & Poncelet, M. (2012). The contribution of short-term memory for serial order to early reading acquisition: Evidence from a longitudinal study. Journal of Experimental Child Psychology, 111, 708–723.

    Article  Google Scholar 

  • Menghini, D., Finzi, A., Benassi, M., Bolzani, R., Facoetti, A., Giovagnoli, S., et al. (2010). Different underlying neurocognitive deficits in developmental dyslexia: A comparative study. Neuropsychologia, 48, 863–872.

    Article  Google Scholar 

  • Milligan, G. W., & Cooper, M. C. (1987). Methodology review: Clustering methods. Applied Psychological Measurement, 11, 329–354.

    Article  Google Scholar 

  • Norton, E., & Wolf, M. (2012). Rapid automatized naming (RAN) and reading fluency: Implications for understanding and treatment of reading disabilities. Annual Review of Psychology, 63, 427–452.

    Article  Google Scholar 

  • O’Brien, B. A., Wolf, M., & Lovett, M. W. (2012). A taxometric investigation of developmental dyslexia subtypes. Dyslexia, 18(1), 16–39.

    Article  Google Scholar 

  • Ouellettte, G., & Beers, A. (2010). A not-so-simple view of reading: How oral vocabulary and visual-word recognition complicate the story. Reading and Writing, 23, 189–208.

    Article  Google Scholar 

  • Pennington, B. F. (2006). From single to multiple deficit models of developmental disorders. Cognition, 101, 385–413.

    Article  Google Scholar 

  • Pennington, B. F., & Bishop, D. V. (2009). Relations among speech, language, and reading disorders. Annual Review of Psychology, 60, 283–306.

    Article  Google Scholar 

  • Pennington, B. F., Santerre-Lemmon, L., Rosenberg, J., MacDonald, B., Boada, R., Friend, A., et al. (2012). Individual prediction of dyslexia by single versus multiple deficit models. Journal of Abnormal Psychology, 121(1), 212–224.

    Article  Google Scholar 

  • Ramus, F., Rosen, S., Dakin, S. C., Day, B. L., Castellote, J. M., White, S., et al. (2003). Theories of developmental dyslexia: Insights from a multiple case study of dyslexic adults. Brain: A Journal of Neurology, 126, 841–865.

    Article  Google Scholar 

  • Ramus, F., & Szenkovits, G. (2008). What phonological deficit? The Quarterly Journal of Experimental Psychology, 61(1), 129–141.

    Article  Google Scholar 

  • Raven, J., Raven, J. C., & Court, J. H. (2009). CPM-P Matrizes Progressivas Coloridas, Forma Paralela (CPM-P Raven Coloured Progressive Matrices Test, Parallel Form). Lisboa: Cegoc-Tea.

    Google Scholar 

  • Reis, A., Castro, S. L., Inácio, F., Pacheco, A., Araújo, S., Santos, M., et al. (2011). Versão portuguesa da bateria 3DM para avaliação da leitura e da escrita (3DM Portuguese Version to assess reading and spelling skills). Manuscript in preparation.

  • Seymour, P., Aro, M., Erskine, J., Wimmer, H., Leybaert, J., Elbro, C., et al. (2003). Foundation literacy acquisition in European orthographies. British Journal of Psychology, 94, 143–174.

    Article  Google Scholar 

  • Snowling, M. J. (1981). Phonemic deficits in developmental dyslexia. Psychological Research, 43, 219–234.

    Article  Google Scholar 

  • Sucena, A., Castro, S. L., & Seymour, P. (2009). Developmental dyslexia in an orthography of intermediate depth: The case of European Portuguese. Reading and Writing, 22, 791–810.

    Article  Google Scholar 

  • Tibshirani, R., Walther, G., & Hastie, T. (2001). Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society B, 63(2), 411–423.

    Article  Google Scholar 

  • Vaessen, A., Bertrand, D., Toth, D., Csépe, V., Faísca, L., Reis, A., et al. (2010). Cognitive development of fluent word reading does not qualitatively differ between transparent and opaque orthographies. Journal of Educational Psychology, 102(4), 827–842.

    Article  Google Scholar 

  • Van Breukelen, G., & Vlaeyen, J. (2005). Norming clinical questionnaires with multiple regression, the pain cognition list. Psychological Assessment, 17(3), 336–344.

    Article  Google Scholar 

  • Vidyasagar, T., & Pammer, K. (2010). Dyslexia, a deficit in visuo-spatial attention, not in phonological processing. Trends in Cognitive Sciences, 14(2), 57–63.

    Article  Google Scholar 

  • Wechsler, D. (2006). Wechsler intelligence scale for children—third edition (WISC-III). Lisboa: Cegoc-Tea.

    Google Scholar 

  • Wimmer, H. (1993). Characteristics of developmental dyslexia in a regular writing system. Applied Psycholinguistics, 14, 1–33.

    Article  Google Scholar 

  • Wimmer, H. (1996). The nonword reading deficit in developmental dyslexia: Evidence from children learning to read German. Journal of Experimental Child Psychology, 61, 80–90.

    Article  Google Scholar 

  • Wolf, M., & Bowers, P. (1999). The “Double-Deficit Hypothesis” for the developmental dyslexias. Journal of Educational Psychology, 91, 1–24.

    Article  Google Scholar 

  • World Health Organization. (2008). International statistical classification of diseases and related health problems (2008th ed.). Geneva: World Health Organization.

    Google Scholar 

  • Ziegler, J., Bertrand, D., Tóth, D., Csépe, V., Reis, A., Faísca, L., et al. (2010). Orthographic depth and its impact on universal predictors of reading: A cross-language investigation. Psychological Science, 21, 551–559.

    Article  Google Scholar 

  • Ziegler, J., Castel, C., Pech-Georgel, C., George, F., Alario, F. X., & Perry, C. (2008). Developmental dyslexia and the dual route model of reading: Simulating individual differences and subtypes. Cognition, 107, 151–178.

    Article  Google Scholar 

  • Ziegler, J., & Goswami, U. (2005). Reading acquisition, developmental dyslexia and skilled reading across languages: A psycholinguistic grain size theory. Psychological Bulletin, 13, 3–29.

    Article  Google Scholar 

  • Ziegler, J., & Goswami, U. (2006). Becoming literate in different languages: Similar problems, different solutions. Developmental Science, 9(5), 429–436.

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by Fundação para a Ciência e Tecnologia (SFRH/BD/27337/2006; PTDC/PSI/110734/2009; IBB/CBME, LA, FEDER/POCI2010; PEst-OE/EQB/LA0023/2013), the Max Planck Institute for Psycholinguistics, the Donders Institute for Brain, Cognition and Behaviour, Vetenskapsrådet, the Swedish Dyslexia Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreia Pacheco.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 49 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pacheco, A., Reis, A., Araújo, S. et al. Dyslexia heterogeneity: cognitive profiling of Portuguese children with dyslexia. Read Writ 27, 1529–1545 (2014). https://doi.org/10.1007/s11145-014-9504-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11145-014-9504-5

Keywords

Navigation