Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-c9gpj Total loading time: 0 Render date: 2024-07-10T15:01:03.988Z Has data issue: false hasContentIssue false

16 - Modeling the Variability of Developmental Dyslexia

from Part II - Cross-Linguistic Perspectives on Developmental Dyslexia

Published online by Cambridge University Press:  27 September 2019

Ludo Verhoeven
Affiliation:
Radboud Universiteit Nijmegen
Charles Perfetti
Affiliation:
University of Pittsburgh
Kenneth Pugh
Affiliation:
Yale University, Connecticut
Get access

Summary

Reading is a highly complex task that relies on the integration of visual, orthographic, phonological and semantic information. This complexity is clearly reflected in current computational models of reading (Coltheart et al., 2001; Harm & Seidenberg, 1999, 2004; Perry, Ziegler, & Zorzi, 2007, 2010; Plaut et al., 1996). These models specify the “ingredients” of the reading process in a precise and detailed fashion as they implement the units and computations that are necessary to go from the visual information to word recognition and word production. Such models make it possible to simulate real reading performance in terms of reading latencies (how long it takes to compute the pronunciation of a word or pseudoword) and reading accuracy (whether the output of the model is correct). Computational models are particularly well suited to helping us understand reading impairments, such as developmental or acquired dyslexia.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ahissar, M. (2007). Dyslexia and the anchoring-deficit hypothesis. Trends in Cognitive Sciences, 11(11), 458465.CrossRefGoogle ScholarPubMed
Ahissar, M., Lubin, Y., Putter-Katz, H., & Banai, K. (2006). Dyslexia and the failure to form a perceptual anchor. Nature Neuroscience, 9(12), 15581564.Google Scholar
Bosse, M. L., Tainturier, M. J., & Valdois, S. (2007). Developmental dyslexia: The visual attention span deficit hypothesis. Cognition, 104(2), 198230.CrossRefGoogle ScholarPubMed
Bruck, M. (1992). Persistence of dyslexics’ phonological awareness deficits. Developmental Psychology, 28, 874886.Google Scholar
Castles, A., & Coltheart, M. (1993). Varieties of developmental dyslexia. Cognition, 47(2), 149180.CrossRefGoogle ScholarPubMed
Collis, N. L., Kohnen, S., & Kinoshita, S. (2013). The role of visual spatial attention in adult developmental dyslexia. Quarterly Journal of Experimental Psychology (Hove), 66(2), 245260.Google Scholar
Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108(1), 204256.Google Scholar
Di Filippo, G., Zoccolotti, P., & Ziegler, J. C. (2008). Rapid naming deficits in dyslexia: a stumbling block for the perceptual anchor theory of dyslexia. Developmental Science, 11(6), F40-F47.Google Scholar
Facoetti, A., Corradi, N., Ruffino, M., Gori, S., & Zorzi, M. (2010). Visual spatial attention and speech segmentation are both impaired in preschoolers at familial risk for developmental dyslexia. Dyslexia, 16(3), 226239.Google Scholar
Facoetti, A., Ruffino, M., Peru, A., Paganoni, P., & Chelazzi, L. (2008). Sluggish engagement and disengagement of non-spatial attention in dyslexic children. Cortex, 44(9), 12211233.Google Scholar
Facoetti, A., Trussardi, A. N., Ruffino, M. et al. (2009). Multisensory spatial attention deficits are predictive of phonological decoding skills in developmental dyslexia. J Cogn Neurosci, 22(5), 10111025.Google Scholar
Facoetti, A., Zorzi, M., Cestnick, L. et al. (2006). The relationship between visuospatial attention and nonword reading in developmental dyslexia. Cognitive Neuropsychology, 23, 841855.Google Scholar
Franceschini, S., Gori, S., Ruffino, M., Pedrolli, K., & Facoetti, A. (2012). A causal link between visual spatial attention and reading acquisition. Current Biology, 22(9), 814819.Google Scholar
Goswami, U. (2011). A temporal sampling framework for developmental dyslexia. Trends in Cognitive Sciences, 15(1), 310.Google Scholar
Goswami, U. (2015). Sensory theories of developmental dyslexia: three challenges for research. Nature Reviews Neuroscience, 16(1), 4354.Google Scholar
Goswami, U., Thomson, J., Richardson, U. et al. (2002). Amplitude envelope onsets and developmental dyslexia: A new hypothesis. Proceedings of the National Academy of Sciences USA, 99(16), 1091110916.Google Scholar
Grainger, J., Dufau, S., & Ziegler, J. C. (2016). A vision of reading. Trends in Cognitive Sciences, 20(3), 171179.Google Scholar
Grainger, J., & Ziegler, J. C. (2011). A dual-route approach to orthographic processing. Frontiers in Psychology, 2(45).Google Scholar
Griffiths, Y. M., & Snowling, M. (2002). Predictors of exception word and nonword reading in dyslexic children: The severity hypothesis. Journal of Educational Psychology, 94(1), 3443.CrossRefGoogle Scholar
Harm, M. W., & Seidenberg, M. S. (1999). Phonology, reading acquisition, and dyslexia: Insights from connectionist models. Psychological Review, 106(3), 491528.CrossRefGoogle ScholarPubMed
Harm, M. W., & Seidenberg, M. S. (2004). Computing the meanings of words in reading: cooperative division of labor between visual and phonological processes. Psychological Review, 111(3), 662720.Google Scholar
Hawelka, S., Huber, C., & Wimmer, H. (2006). Impaired visual processing of letter and digit strings in adult dyslexic readers. Vision Research, 46(5), 718723.Google Scholar
Kohnen, S., Nickels, L., Castles, A., Friedmann, N., & McArthur, G. (2012). When “slime” becomes “smile”: Developmental letter position dyslexia in English. Neuropsychologia, 50(14), 36813692.Google Scholar
Landerl, K., Ramus, F., Moll, K. et al. (2013). Predictors of developmental dyslexia in European orthographies with varying complexity. Journal of Child Psychology and Psychiatry, 54(6), 686694.Google Scholar
Lyytinen, H., Ahonen, T., Eklund, K. et al. (2001). Developmental pathways of children with and without familial risk for dyslexia during the first years of life. Developmental Neuropsychology, 20(2), 535554.Google Scholar
Manis, F. R., Seidenberg, M. S., & Doi, L. M. (1999). See Dick RAN: Rapid naming and the longitudinal prediction of reading subskills in first and second graders. Scientific Studies of Reading, 3(2), 129157.Google Scholar
McClelland, J. L., & Rumelhart, D. E. (1981). An Interactive activation model of context effects in letter perception: 1. An account of basic findings. Psychological Review, 88(5), 375407.Google Scholar
Menghini, D., Finzi, A., Benassi, M. et al. (2010). Different underlying neurocognitive deficits in developmental dyslexia: a comparative study. Neuropsychologia, 48(4), 863872.CrossRefGoogle ScholarPubMed
Paulesu, E., Demonet, J. F., Fazio, F. et al. (2001). Dyslexia: Cultural diversity and biological unity. Science, 291(5511), 21652167.Google Scholar
Pennington, B. F. (2006). From single to multiple deficit models of developmental disorders. Cognition, 101(2), 385413.Google Scholar
Perry, C., Ziegler, J. C., & Zorzi, M. (2007). Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. Psychological Review, 114(2), 273315.CrossRefGoogle ScholarPubMed
Perry, C., Ziegler, J. C., & Zorzi, M. (2010). Beyond single syllables: Large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model. Cognitive Psychology, 61(2), 106151.Google Scholar
Perry, C., Ziegler, J. C., & Zorzi, M. (2013). A computational and empirical investigation of graphemes in reading. Cognitive Science, 129.Google Scholar
Perry, C., Ziegler, J. C., & Zorzi, M. (2014a). CDP++.Italian: Modelling sublexical and supralexical inconsistency in a shallow orthography. PLoS One, 9(4),e94291.Google Scholar
Perry, C., Ziegler, J. C., & Zorzi, M. (2014b). When silent letters say more than a thousand words: An implementation and evaluation of CDP++ in French. Journal of Memory and Language, 72, 98115.Google Scholar
Perry, C., Zorzi, M., & Ziegler, J. C. (2019). Understanding Dyslexia Through Personalized Large-Scale Computational Models. Psychological Science, 30(3), 386395.Google Scholar
Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103(1), 56115.Google Scholar
Ramus, F., & Ahissar, M. (2012). Developmental dyslexia: The difficulties of interpreting poor performance, and the importance of normal performance. Cognitive Neuropsychology, 29(1–2), 104122.Google Scholar
Ramus, F., Rosen, S., & Dakin, S. C. et al. (2003). Theories of developmental dyslexia: insights from a multiple case study of dyslexic adults. Brain, 126, 841865.Google Scholar
Saksida, A., Iannuzzi, S., Bogliotti, C. et al. (2016). Phonological skills, visual attention span, and visual stress in developmental dyslexia. Developmental Psychology, 52(10), 15031516.Google Scholar
Seidenberg, M. S., & McClelland, J. L. (1989). A distributed, developmental model of word recognition and naming. Psychological Review, 96(4), 523568.Google Scholar
Serniclaes, W., Van Heghe, S., Mousty, P., Carre, R., & Sprenger-Charolles, L. (2004). Allophonic mode of speech perception in dyslexia. Journal of Experimental Child Psychology, 87(4), 336361.Google Scholar
Share, D. L. (1995). Phonological recoding and self-teaching: Sine qua non of reading acquisition. Cognition, 55(2), 151218.Google Scholar
Sperling, A. J., Lu, Z. L., Manis, F. R., & Seidenberg, M. S. (2005). Deficits in perceptual noise exclusion in developmental dyslexia. Nature Neuroscience, 8, 862863.Google Scholar
Sperling, A. J., Lu, Z. L., Manis, F. R., & Seidenberg, M. S. (2006). Motion-perception deficits and reading impairment: It’s the noise, not the motion. Psychological Science, 17(12), 10471053.CrossRefGoogle Scholar
Sprenger-Charolles, L., Cole, P., Lacert, P., & Serniclaes, W. (2000). On subtypes of developmental dyslexia: Evidence from processing time and accuracy scores. Canadian Journal of Experimental Psychology, 54(2), 87104.Google Scholar
Sprenger-Charolles, L., Siegel, L. S., Jimenez, J. E., & Ziegler, J. C. (2011). Prevalence and reliability of phonological, surface, and mixed profiles in dyslexia: A review of studies conducted in languages varying in orthographic Depth. Scientific Studies of Reading, 15(6), 498521.Google Scholar
Stein, J. (2014). Dyslexia: The role of vision and visual attention. Current Developmental Disorders Reports, 1(4), 267280.Google Scholar
Stein, J., & Walsh, V. (1997). To see but not to read: The magnocellular theory of dyslexia. Trends in Neurosciences, 20(4), 147152.Google Scholar
Swan, D., & Goswami, U. (1997). Phonological awareness deficits in developmental dyslexia and the phonological representations hypothesis. Journal of Experimental Child Psychology, 66(1), 1841.Google Scholar
Tallal, P., & Piercy, M. (1973). Defects of non-verbal auditory perception in children with developmental aphasia. Nature, 241(5390), 468469.Google Scholar
van Bergen, E., van der Leij, A., & de Jong, P. F. (2014). The intergenerational multiple deficit model and the case of dyslexia. Frontiers in Human Neuroscience, 8(346).CrossRefGoogle ScholarPubMed
Vandermosten, M., Boets, B., & Luts, H. et al. (2010). Adults with dyslexia are impaired in categorizing speech and nonspeech sounds on the basis of temporal cues. Proceedings of the National Academy of Sciences of the United States of America, 107(23), 1038910394.Google Scholar
White, S., Milne, E., Rosen, S. et al. (2006). The role of sensorimotor impairments in dyslexia: A multiple case study of dyslexic children. Developmental Science, 9(3), 237255.Google Scholar
Woollams, A. M. (2014). Connectionist neuropsychology: Uncovering ultimate causes of acquired dyslexia. Philosophical Transactions of the Royal Society of London B Biological Sciences, 369(1634), 20120398.CrossRefGoogle ScholarPubMed
Woollams, A. M., Lambon Ralph, M. A., Plaut, D. C., & Patterson, K. (2007). SD-squared: On the association between semantic dementia and surface dyslexia. Psychological Review, 114(2), 316339.Google Scholar
World Health Organization. (2011). International statistical classification of diseases and related health problems – 10th revision. Geneva, Switzerland: World Health Organization.Google Scholar
Ziegler, J. C. (2006). Do differences in brain activation challenge universal theories of dyslexia? Brain and Language, 98(3), 341343.Google Scholar
Ziegler, J. C. (2008). Better to lose the anchor than the whole ship. Trends in Cognitive Sciences, 12, 244245.Google Scholar
Ziegler, J. C., Bertrand, D., Tóth, D. et al. (2010). Orthographic depth and its impact on universal predictors of reading: A cross-language investigation. Psychological Science, 21(4), 551559.Google Scholar
Ziegler, J. C., Castel, C., Pech-Georgel, C. et al. (2008). Developmental dyslexia and the dual route model of reading: Simulating individual differences and subtypes. Cognition, 107, 151178.CrossRefGoogle ScholarPubMed
Ziegler, J. C., Pech-Georgel, C., Dufau, S., & Grainger, J. (2010). Rapid processing of letters, digits, and symbols: What purely visual-attentional deficit in developmental dyslexia? Developmental Science, 13, F8F14.Google Scholar
Ziegler, J. C., Perry, C., Ma-Wyatt, A., Ladner, D., & Schulte-Korne, G. (2003). Developmental dyslexia in different languages: Language-specific or universal? Journal of Experimental Child Psychology, 86(3), 169193.Google Scholar
Ziegler, J. C., Perry, C., & Zorzi, M. (2014). Modelling reading development through phonological decoding and self-teaching: Implications for dyslexia. Philosophical Transactions of the Royal Society of London B Biological Sciences, 369(1634), 20120397.Google Scholar
Zorzi, M. (2010). The connectionist dual process (CDP) approach to modelling reading aloud. European Journal of Cognitive Psychology, 22, 836860.Google Scholar
Zorzi, M., Barbiero, C., Facoetti, A. et al. (2012). Extra-large letter spacing improves reading in dyslexia. Proceedings of the National Academy of Sciences, 109(28), 1145511459.Google Scholar
Zorzi, M., Houghton, G., & Butterworth, B. (1998a). The development of spelling–sound relationships in a model of phonological reading. Language & Cognitive Processes, 13(2&3), 337371.Google Scholar
Zorzi, M., Houghton, G., & Butterworth, B. (1998b). Two routes or one in reading aloud? A connectionist dual-process model. Journal of Experimental Psychology: Human Perception & Performance, 24(4), 11311161.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×