Cortex
Volume 46, Issue 6 , Pages 717-738 , June 2010

Fractionating the multi-character processing deficit in developmental dyslexia: Evidence from two case studies

  • Matthieu Dubois

      Affiliations

    • Cognition and Development Lab, Catholic University of Louvain, Louvain-La-Neuve, Belgium
    • Laboratoire de Psychologie et NeuroCognition (CNRS UMR 5105), Grenoble Universités, France
    • Corresponding Author InformationCorresponding author. Department of Psychology, New York University, 6 Washington Place, Room 959, New York, NY 10003, USA.
    • ,
  • Søren Kyllingsbæk

      Affiliations

    • Centre for Visual Cognition, Department of Psychology, University of Copenhagen, Denmark
    • ,
  • Chloé Prado

      Affiliations

    • Laboratoire de Psychologie et NeuroCognition (CNRS UMR 5105), Grenoble Universités, France
    • ,
  • Serban C. Musca

      Affiliations

    • LAPSCO (CNRS UMR 6024), Université Blaise Pascal, Clermont-Ferrand, France
    • ,
  • Elsa Peiffer

      Affiliations

    • Centre Référent pour le diagnostic des troubles du langage et des apprentissages, Service de pédiatrie, CHU Nord, Grenoble, France
    • ,
  • Delphine Lassus-Sangosse

      Affiliations

    • Centre Référent pour le diagnostic des troubles du langage et des apprentissages, Service de pédiatrie, CHU Nord, Grenoble, France
    • Laboratoire de Psychologie et NeuroCognition (CNRS UMR 5105), Grenoble Universités, France
    • ,
  • Sylviane Valdois

      Affiliations

    • Laboratoire de Psychologie et NeuroCognition (CNRS UMR 5105), Grenoble Universités, France

Received 12 October 2007 ,Revised 13 November 2008 ,Accepted 26 October 2009.

References 

  1. Acha J, Perea M. The effects of length and transposed-letter similarity in lexical decision: Evidence with beginning, intermediate, and adult readers. British Journal of Psychology. 2008;99:245–264
  2. Alvarez G, Cavanagh P. The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychological Science. 2004;15:106–111
  3. Ans B, Carbonnel S, Valdois S. A connectionist multiple-trace memory model for polysyllabic word reading. Psychological Review. 1998;105:678–723
  4. Au A, Lovegrove B. The role of visual and auditory temporal processing in reading irregular and nonsense words. Perception. 2001;30:1127–1142
  5. Averbach E, Coriell AS. Short-term memory in vision. Bell Systems Technical Journal. 1961;40:309–328
  6. Averbach E, Sperling G. Short-term storage of information in vision. In:  Hader R editors. Contemporary Theory and Research in Visual Perception. USA: Holt, Rinehart and Winston; 1968;p. 202–214
  7. Awh E, Barton B, Vogel EK. Visual working memory represents a fixed number of items regardless of complexity. Psychological Science. 2007;18:622–628
  8. Awh E, Vogel EK, Oh S. Interactions between attention and working memory. Neuroscience. 2006;139:201–208
  9. Boden C, Giaschi DE. M-stream deficits and reading-related visual processes in developmental dyslexia. Psychological Bulletin. 2007;133:346–366
  10. Bosse ML, Tainturier MJ, Valdois S. Developmental dyslexia: The visual attention span deficit hypothesis. Cognition. 2007;104:198–230
  11. Bosse ML, Valdois S. Influence of the visual attention span on child reading performance: A cross-sectional study. Journal of Research in Reading. 2009;32:230–253
  12. Bouma H, Legein CP. Foveal and parafoveal recognition of letters and words by dyslexics and by average readers. Neuropsychologia. 1977;15:69–80
  13. Bouma H, Legein CP. Dyslexia: A specific recoding deficit? An analysis of response latencies for letters and words in dyslectics and in average readers. Neuropsychologia. 1980;18:285–298
  14. Breznitz Z, Misra M. Speed of processing of the visual-orthographic and auditory-phonological systems in adult dyslexics: The contribution of “asynchrony” to word recognition deficits. Brain and Language. 2003;85:486–502
  15. Bublak P, Finke K, Krummenacher J, Preger R, Kyllingsbæk S, Müller HJ, et al. Usability of a theory of visual attention (TVA) for parameter-based measurement of attention II: Evidence from two patients with frontal or parietal damage. Journal of the International Neuropsychological Society. 2005;11:843–854
  16. Buchholz J, Aimola Davies A. Adults with dyslexia demonstrate space-based and object-based covert attention deficits: Shifting attention to the periphery and shifting attention between objects in the left visual field. Brain and Cognition. 2005;57:30–34
  17. Buchholz J, Aimola Davies A. Do visual attentional factors contribute to phonological ability? Studies in adult dyslexia. Neurocase. 2006;12:111–121
  18. Buchholz J, Aimola Davies A. Attentional blink deficits observed in dyslexia depend on task demands. Vision Research. 2007;47:1292–1302
  19. Bundesen C. A theory of visual attention. Psychological Review. 1990;97:523–547
  20. Bundesen C. A computational theory of visual attention. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 1998;353:1271–1281
  21. Bundesen C, Habekost T. Attention. In:  Lamberts K,  Goldstone R editor. Handbook of Cognition. London: Sage; 2005;p. 105–129Chapter 4
  22. Bundesen C, Habekost T, Kyllingsbæk S. A neural theory of visual attention: Bridging cognition and neurophysiology. Psychological Review. 2005;112:291–328
  23. Bundesen C, Harms L. Single-letter recognition as a function of exposure duration. Psychological Research. 1999;62:275–279
  24. Bundesen C, Kyllingsbæk S, Larsen A. Independent encoding of colors and shapes from two stimuli. Psychonomic Bulletin & Review. 2003;10:474–479
  25. Catts H, Gillispie M, Leonard L, Kail R, Miller C. The role of speed of processing, rapid naming, and phonological awareness in reading achievement. Journal of Learning Disabilities. 2002;35:509–524
  26. Chernick MR. Bootstrap Methods: A Practitioner's Guide. New York: John Wiley & Sons; 1999;
  27. Coltheart M, Rastle K, Perry C, Langdon R, Ziegler JC. DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review. 2001;108:204–256
  28. Crawford JR, Garthwaite PH. Investigation of the single case in neuropsychology: Confidence limits on the abnormality of test scores and test score differences. Neuropsychologia. 2002;40:1196–1208
  29. Crawford JR, Garthwaite PH. Detecting dissociations in single-case studies: Type I errors, statistical power and the classical versus strong distinction. Neuropsychologia. 2006;44:2249–2258
  30. Crawford JR, Garthwaite PH. Methods of testing for a deficit in single-case studies: Evaluation of statistical power by Monte Carlo simulation. Cognitive Neuropsychology. 2006;23:877–904
  31. Crawford JR, Garthwaite PH. Comparison of a single case to a control or normative sample in neuropsychology: Development of a Bayesian approach. Cognitive Neuropsychology. 2007;24:343–372
  32. Crawford JR, Garthwaite PH, Azzalini A, Howell DC, Laws KR. Testing for a deficit in single-case studies: Effects of departures from normality. Neuropsychologia. 2006;44:666–677
  33. Crawford JR, Howell DC, Garthwaite PH. Payne and Jones revisited: Estimating the abnormality of test score differences using a modified paired samples t-test. Journal of Clinical and Experimental Neuropsychology. 1998;20:898–905
  34. Davis CJ, Bowers JS. Contrasting five different theories of letter position coding: Evidence from orthographic similarity effects. Journal of Experimental Psychology. Human Perception and Performance. 2006;32:535–557
  35. Dehaene S, Cohen L, Sigman M, Vinckier F. The neural code for written words: A proposal. Trends in Cognitive Sciences. 2005;9:335–341
  36. D'Esposito M. From cognitive to neural models of working memory. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 2007;362:761–772
  37. Dubois M. Singlecase: A package for single case statistics in neuropsychology, http://cran.r-project.org/web/packages/singlecase/. Software: R Package, singlecase, version 0.1; 2008.
  38. Dubois M, Lafaye de Micheaux P, Noël MP, Valdois S. Pre-orthographical constraints on visual word recognition: Evidence from a case study of developmental surface dyslexia. Cognitive Neuropsychology. 2007;24:623–660
  39. Duncan J, Bundesen C, Olson A, Humphreys GW, Chavda S, Shibuya H. Systematic analysis of deficits in visual attention. Journal of Experimental Psychology. General. 1999;128:450–478
  40. Duncan J, Bundesen C, Olson A, Humphreys GW, Ward R, Kyllingsbæk S, et al. Attentional functions in dorsal and ventral simultanagnosia. Cognitive Neuropsychology. 2003;20:675–701
  41. Duncan J, Humphreys GW, Ward R. Competitive brain activity in visual attention. Current Opinion in Neurobiology. 1997;7:255–261
  42. Efron B. Bootstrap methods: Another look at the jackknife. Annals of Statistics. 1979;7:1–26
  43. Efron B, Tibshirani R. An Introduction to the Bootstrap. New York: Chapman & Hall; 1993;
  44. Facoetti A, Lorusso ML, Paganoni P, Cattaneo C, Galli R, Mascetti GG. The time course of attentional focusing in dyslexic and normally reading children. Brain and Cognition. 2003;53:181–184
  45. Facoetti A, Molteni M. The gradient of visual attention in developmental dyslexia. Neuropsychologia. 2001;39:352–357
  46. Facoetti A, Paganoni P, Lorusso ML. The spatial distribution of visual attention in developmental dyslexia. Experimental Brain Research. 2000;132:531–538
  47. Facoetti A, Ruffino M, Peru A, Paganoni P, Chelazzi L. Sluggish engagement and disengagement of non-spatial attention in dyslexic children. Cortex. 2008;44:1221–1233
  48. Facoetti A, Turatto M. Asymmetrical visual fields distribution of attention in dyslexic children: A neuropsychological study. Neuroscience Letters. 2000;290:216–218
  49. Facoetti A, Turatto M, Lorusso ML, Mascetti GG. Orienting of visual attention in dyslexia: Evidence for asymmetric hemispheric control of attention. Experimental Brain Research. 2001;138:46–53
  50. Farmer ME, Klein RM. The evidence for a temporal processing deficit linked to dyslexia: A review. Psychonomic Bulletin & Review. 1995;2:460–493
  51. Finke K, Bublak P, Dose M, Müller HJ, Schneider WX. Parameter-based assessment of spatial and non-spatial attentional deficits in Huntington's disease. Brain. 2006;129:1137–1151
  52. Finke K, Bublak P, Krummenacher J, Kyllingsbæk S, Müller HJ, Schneider WX. Usability of a theory of visual attention (TVA) for parameter-based measurement of attention I: Evidence from normal subjects. Journal of the International Neuropsychological Society. 2005;11:832–842
  53. Finke K, Schneider WX, Redel P, Dose M, Kerkhoff G, Müller HJ, et al. The capacity of attention and simultaneous perception of objects: A group study of Huntington's disease patients. Neuropsychologia. 2007;45:3272–3284
  54. Friedmann N, Gvion A. Letter position dyslexia. Cognitive Neuropsychology. 2001;18:673–696
  55. Friedmann N, Rahamim E. Developmental letter position dyslexia. Journal of Neuropsychology. 2007;1:201–236
  56. Gegenfurtner K, Sperling G. Information transfer in iconic memory experiments. Journal of Experimental Psychology. Human Perception and Performance. 1993;19:845–866
  57. Gerlach C, Marstrand L, Habekost T, Gade A. A case of impared shape integration: Implications for models of visual object processing. Visual Cognition. 2005;12:1409–1443
  58. Gillard-Crewther S, Lawson ML, Bello K, Crewther DP. The visual attentional blink reflects constraints on temporal visual processing, not just a lapse of visual memory. Clinical & Experimental Optometry. 2007;90:282–289
  59. Gomez P, Ratcliff R, Perea M. The overlap model: A model of letter position coding. Psychological Review. 2008;115:577–600
  60. Habekost T, Bundesen C. Patient assessment based on a theory of visual attention (TVA): Subtle deficits after a right frontal–subcortical lesion. Neuropsychologia. 2003;41:1171–1188
  61. Habekost T, Rostrup E. Persisting asymmetries of vision after right side lesions. Neuropsychologia. 2006;44:876–895
  62. Habekost T, Rostrup E. Visual attention capacity after right hemisphere lesions. Neuropsychologia. 2007;45:1474–1488
  63. Habekost T, Starrfelt R. Alexia and quadrant-amblyopia: Reading disability after a minor visual field deficit. Neuropsychologia. 2006;44:2465–2476
  64. Hari R, Renvall H. Impaired processing of rapid stimulus sequences in dyslexia. Trends in Cognitive Sciences. 2001;5:525–532
  65. Hari R, Renvall H, Tanskanen T. Left minineglect in dyslexic adults. Brain. 2001;124:1373–1380
  66. Hari R, Valta M, Uutela K. Prolonged attentional dwell time in dyslexic adults. Neuroscience Letters. 1999;271:202–204
  67. Hawelka S, Huber C, Wimmer H. Impaired visual processing of letter and digit strings in adult dyslexic readers. Vision Research. 2006;46:718–723
  68. Hawelka S, Wimmer H. Impaired visual processing of multi-element arrays is associated with increased number of eye movements in dyslexic reading. Vision Research. 2005;45:855–863
  69. Hawelka S, Wimmer H. Visual target detection is not impaired in dyslexic readers. Vision Research. 2008;48:850–852
  70. Hung J, Driver J, Walsh V. Visual selection and posterior parietal cortex: Effects of repetitive transcranial magnetic stimulation on partial report analyzed by Bundesen's theory of visual attention. Journal of Neuroscience. 2005;25:9602–9612
  71. Husain M, Rorden C. Non-spatially lateralized mechanisms in hemispatial neglect. Nature Reviews. Neuroscience. 2003;4:26–36
  72. Ihaka R, Gentleman R. R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics. 1996;5:299–314
  73. Jacquier-Roux M, Valdois S, Zorman M. ODEDYS: Outil de DEpistage des DYSlexies – Version 2. Grenoble: Laboratoire Cogni-Sciences, IUFM; 2005;
  74. Judge J, Caravolas M, Knox P. Visual attention in adults with developmental dyslexia: Evidence from manual reaction time and saccade latency. Cognitive Neuropsychology. 2007;24:260–278
  75. Kinsbourne M, Warrington EK. A disorder of simultaneous form perception. Brain. 1962;85:461–486
  76. Klein RM, Berry G, Briand K, D'Entremont B, Farmer ME. Letter identification declines with increasing retinal eccentricity at the same rate for normal and dyslexic readers. Perception & Psychophysics. 1990;47:601–606
  77. Kyllingsbæk S. Modeling visual attention. Behavior Research Methods. 2006;38:123–133
  78. Kyllingsbæk S, Bundesen C. Parallel processing in a multifeature whole-report paradigm. Journal of Experimental Psychology. Human Perception and Performance. 2007;33:64–82
  79. Kyllingsbæk S, Valla C, Vanrie J, Bundesen C. Effects of spatial separation between stimuli in whole report from brief visual displays. Perception & Psychophysics. 2007;69:1040–1050
  80. Lachmann T, van Leeuwen C. Paradoxical enhancement of letter recognition in developmental dyslexia. Developmental Neuropsychology. 2007;31:61–77
  81. Lachmann T, van Leeuwen C. Different letter-processing strategies in diagnostic subgroups of developmental dyslexia. Cognitive Neuropsychology. 2008;25:730–744
  82. Lacroix G, Constantinescu I, Cousineau D, de Almeida RG, Segalowitz N, Grünau M. Attentional blink differences between adolescent dyslexic and normal readers. Brain and Cognition. 2005;57:115–119
  83. Lallier M, Donnadieu S, Berger C, Valdois S. A case study of developmental phonological dyslexia: Is the attentional deficit in the perception of rapid stimuli sequences amodal?. Cortex. 2010;46:231–241
  84. Lassus-Sangosse D, N'guyen-Morel MA, Valdois S. Sequential or simultaneous visual processing deficit in developmental dyslexia?. Vision Research. 2008;48:979–988
  85. Lefavrais P. Du diagnostic de la dyslexie à l’étude clinique de la lecture. Un nouvel instrument: Le test “l'alouette”. Revue de Psychologie Appliquée. 1963;13:189–207
  86. Lefavrais P. Description, définition et mesure de la dyslexie: Utilisation du test “l'alouette”. Revue de Psychologie Appliquée. 1965;15:33–44
  87. Lété B, Sprenger-Charolles L, Colé P. MANULEX: A grade-level lexical database from French elementary school readers. Behavior Research Methods, Instruments, & Computers. 2004;36:156–166
  88. Levi DM. Crowding—an essential bottleneck for object recognition: A mini-review. Vision Research. 2008;48:635–654
  89. Levine DN, Calvanio R. A study of the visual defect in verbal alexia-simultagnosia. Brain. 1978;101:65–81
  90. Lorusso ML, Facoetti A, Pesenti S, Cattaneo C, Molteni M, Geiger G. Wider recognition in peripheral vision common to different subtypes of dyslexia. Vision Research. 2004;44:2413–2424
  91. Luck SJ, Vogel EK. The capacity of visual working memory for features and conjunctions. Nature. 1997;390:279–281
  92. Maki W, Bussard G, Lopez K, Digby B. Sources of interference in the attentional blink: Target–distractor similarity revisited. Perception & Psychophysics. 2003;65:188–201
  93. Marois R, Ivanoff J. Capacity limits of information processing in the brain. Trends in Cognitive Sciences. 2005;9:296–305
  94. Martelli M, Filippo GD, Spinelli D, Zoccolotti P. Crowding, reading, and developmental dyslexia. Journal of Vision. 2009;9:1–18
  95. Moores E, Nicolson RI, Fawcett AJ. Attention deficits in dyslexia: Evidence for an automatisation deficit?. European Journal of Cognitive Psychology. 2003;15:321–348
  96. Moran J, Desimone R. Selective attention gates visual processing in the extrastriate cortex. Science. 1985;229:782–784
  97. Mousty P, Leybaert J, Alegria J, Content A, Junca de Morais J. BELEC: Une batterie d’évaluation du langage écrit et de ses troubles. In:  Grégoire J,  Piérart B editor. Evaluer les troubles de la lecture: Les nouveaux modèles théoriques et leurs implications diagnostiques. Bruxelles: De Boeck; 1994;p. 127–145
  98. New B, Pallier C, Brysbaert M, Ferrand L. Lexique 2: A new French lexical database. Behavior Research Methods, Instruments, & Computers. 2004;36:516–524
  99. Nicolson RI, Fawcett AJ. Automaticity: A new framework for dyslexia research?. Cognition. 1990;35:159–182
  100. Pammer K, Lavis R, Cooper C, Hansen P, Cornelissen PL. Symbol-string sensitivity and adult performance in lexical decision. Brain and Language. 2005;94:278–296
  101. Pammer K, Lavis R, Cornelissen PL. Visual encoding mechanisms and their relationship to text presentation preference. Dyslexia. 2004;10:77–94
  102. Pammer K, Lavis R, Hansen P, Cornelissen PL. Symbol-string sensitivity and children's reading. Brain and Language. 2004;89:601–610
  103. Peers P, Ludwig CJ, Rorden C, Cusack R, Bonfiglioli C, Bundesen C, et al. Attentional functions of parietal and frontal cortex. Cerebral Cortex. 2005;15:1469–1484
  104. Pelli DG, Burns C, Farell B, Moore-Page DC. Feature detection and letter identification. Vision Research. 2006;46:4646–4674
  105. Pelli DG, Tillman K. The uncrowded window of object recognition. Nature Neuroscience. 2008;11:1129–1135
  106. Pelli DG, Tillman KA, Freeman J, Su M, Berger TD, Majaj NJ. Crowding and eccentricity determine reading rate. Journal of Vision. 2007;7:1–36
  107. Perea M, Estévez A. Transposed-letter similarity effects in naming pseudowords: Evidence from children and adults. European Journal of Cognitive Psychology. 2008;20:33–46
  108. Pernet C, Valdois S, Celsis P, Démonet JF. Lateral masking, levels of processing and stimulus category: A comparative study between normal and dyslexic readers. Neuropsychologia. 2006;44:2374–2385
  109. Perry C, Ziegler JC, Zorzi M. Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. Psychological Review. 2007;114:273–315
  110. Plaut DC, McClelland JL, Seidenberg MS, Patterson K. Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review. 1996;103:56–115
  111. Postle BR. Working memory as an emergent property of the mind and brain. Neuroscience. 2006;139:23–38
  112. Prado C, Dubois M, Valdois S. The eye movements of dyslexic children during reading and visual search: Impact of the visual attention span. Vision Research. 2007;47:2521–2530
  113. R Development Core Team . R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2008;
  114. Ramus F, Pidgeon E, Frith U. The relationship between motor control and phonology in dyslexic children. Journal of Child Psychology and Psychiatry, and Allied Disciplines. 2003;44:712–722
  115. Roach NW, Hogben JH. Attentional modulation of visual processing in adult dyslexia: A spatial-cuing deficit. Psychological Science. 2004;15:650–654
  116. Roach NW, Hogben JH. Impaired filtering of behaviourally irrelevant visual information in dyslexia. Brain. 2007;130:771–785
  117. Rumelhart DE. A multicomponent theory of the perception of briefly exposed visual displays. Journal of Mathematical Psychology. 1970;7:171–216
  118. Rutkowski JS, Crewther DP, Crewther SG. Change detection is impaired in children with dyslexia. Journal of Vision. 2003;3:95–105
  119. Schneider WX, Eschman A, Zuccolotto A. E-Prime Reference Guide. Pittsburgh, PA: Psychology Software Tools; 2002;
  120. Schwarz G. Estimating the dimension of a model. The Annals of Statistics. 1978;6:461–464
  121. Schweickert R, Boruff B. Short-term memory capacity: Magic number or magic spell?. Journal of Experimental Psychology. Learning, Memory, and Cognition. 1986;12:419–425
  122. Seidenberg MS, McClelland JL. A distributed developmental model of word recognition and naming. Psychological Review. 1989;96:523–568
  123. Shanahan MA, Pennington BF, Yerys BE, Scott A, Boada R, Willcutt EG, et al. Processing speed deficits in attention deficit/hyperactivity disorder and reading disability. Journal of Abnormal Child Psychology. 2006;34:585–602
  124. Shibuya H, Bundesen C. Visual selection from multielement displays: Measuring and modeling effects of exposure duration. Journal of Experimental Psychology. Human Perception and Performance. 1988;14:591–600
  125. Shih SI, Sperling G. Measuring and modeling the trajectory of visual spatial attention. Psychological Review. 2002;109:260–305
  126. Shovman M, Ahissar M. Isolating the impact of visual perception on dyslexics' reading ability. Vision Research. 2006;46:3514–3525
  127. Sireteanu R, Goebel C, Goertz R, Wandert T. Do children with developmental dyslexia show a selective visual attention deficit?. Strabismus. 2006;14:85–93
  128. Sireteanu R, Goertz R, Bachert I, Wandert T. Children with developmental dyslexia show a left visual “minineglect”. Vision Research. 2005;45:3075–3082
  129. Skottun BC, Skoyles JR. Attention, reading and dyslexia. Clinical & Experimental Optometry. 2006;89:241–245
  130. Snowling MJ. From language to reading and dyslexia. Dyslexia. 2001;7:37–46
  131. Sperling G. The information available in brief visual presentations. Psychological Monographs: General and Applied. 1960;74:1–29
  132. Spinelli D, De Luca M, Judica A, Zoccolotti P. Crowding effects on word identification in developmental dyslexia. Cortex. 2002;38:179–200
  133. Stein JF, Walsh V. To see but not to read: The magnocellular theory of dyslexia. Trends in Neurosciences. 1997;20:147–152
  134. Todd J, Marois R. Capacity limit of visual short-term memory in human posterior parietal cortex. Nature. 2004;428:751–754
  135. Toet A, Levi DM. The two-dimensional shape of spatial interaction zones in the parafovea. Vision Research. 1992;32:1349–1357
  136. Treisman A, Gelade G. A feature-integration theory of attention. Cognitive Psychology. 1980;12:97–136
  137. Valdois S, Bosse ML, Ans B, Carbonnel S, Zorman M, David D, et al. Phonological and visual processing deficits can dissociate in developmental dyslexia: Evidence from two case studies. Reading and Writing. 2003;16:541–572
  138. Valdois S, Bosse ML, Tainturier MJ. The cognitive deficits responsible for developmental dyslexia: Review of evidence for a selective visual attentional disorder. Dyslexia. 2004;10:339–363
  139. van der Leij A, van Daal VH. Automatization aspects of dyslexia: Speed limitations in word identification, sensitivity to increasing task demands, and orthographic compensation. Journal of Learning Disabilities. 1999;32:417–428
  140. Vidyasagar TR. A neuronal model of attentional spotlight: Parietal guiding the temporal. Brain Research Reviews. 1999;30:66–76
  141. Vidyasagar TR. Neural underpinnings of dyslexia as a disorder of visuo-spatial attention. Clinical & Experimental Optometry. 2004;87:4–10
  142. Visser TA, Boden C, Giaschi DE. Children with dyslexia: Evidence for visual attention deficits in perception of rapid sequences of objects. Vision Research. 2004;44:2521–2535
  143. Vogel EK, Machizawa MG. Neural activity predicts individual differences in visual working memory capacity. Nature. 2004;428:748–751
  144. Vogel EK, McCollough A, Machizawa MG. Neural measures reveal individual differences in controlling access to working memory. Nature. 2005;438:500–503
  145. Vogel EK, Woodman G, Luck SJ. Storage of features, conjunctions and objects in visual working memory. Journal of Experimental Psychology. Human Perception and Performance. 2001;27:92–114
  146. Whitney C. How the brain encodes the order of letters in a printed word: The SERIOL model and selective literature review. Psychonomic Bulletin & Review. 2001;8:221–243
  147. Whitney C. Supporting the serial in the seriol model. Language and Cognitive Processes. 2008;23:824–865
  148. Whitney C, Cornelissen PL. Letter-position encoding and dyslexia. Journal of Research in Reading. 2005;28:274–301
  149. Wickham H. ggplot2: An Implementation of the Grammar of Graphics. 2009;http://CRAN.R-project.org/package=ggplot2R package version 0.8.3.
  150. Wolf M, Bowers PG. The double-deficit hypothesis for the developmental dyslexias. Journal of Educational Psychology. 1999;91:415–438
  151. Xu Y, Chun MM. Dissociable neural mechanisms supporting visual short-term memory for objects. Nature. 2006;440:91–95
  152. Ziegler JC, Castel C, Pech-Georgel C, George F, Alario FX, Perry C. Developmental dyslexia and the dual route model of reading: Simulating individual differences and subtypes. Cognition. 2008;107:151–178

PII: S0010-9452(09)00311-6

doi: 10.1016/j.cortex.2009.11.002

Cortex
Volume 46, Issue 6 , Pages 717-738 , June 2010

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