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Journal Article

Dyslexia's heterogeneity: Cognitive profiling of Portuguese children with dyslexia

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons147

Petersson,  Karl Magnus
Cognitive Neuroscience Research Group, Departamento de Psicologia, Institute of Biotechnology & Bioengineering, Centre for Molecular and Structural Biomedicine, Universidade do Algarve, Faro, Portugal;
Cognitive Neurophysiology Research Group, Stockholm Brain Institute, Karolinska Institutet, Stockholm, Sweden;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;

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Fulltext (public)

Pacheco_etal_2014.pdf
(Publisher version), 374KB

Supplementary Material (public)

11145_2014_9504_MOESM1_ESM.doc
(Supplementary material), 46KB

Citation

Pacheco, A., Araújo, S., Faísca, L., de Castro, S. L., Petersson, K. M., & Reis, A. (2014). Dyslexia's heterogeneity: Cognitive profiling of Portuguese children with dyslexia. Reading and Writing, 27(9), 1529-1545. doi:10.1007/s11145-014-9504-5.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-7587-5
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.