Skip to main content
Log in

The cognitive profile of adult dyslexics and its relation to their reading abilities

  • Published:
Reading and Writing Aims and scope Submit manuscript

Abstract

The question of which cognitive impairments are primarily associated with dyslexia has been a source of continuous debate. This study examined the cognitive profile of Hebrew-speaking compensated adult dyslexics and investigated whether their cognitive abilities accounted for a unique variance in their reading performance. Sixty-nine young adults with and without dyslexia were administered a battery of tests measuring their reading skills and a number of cognitive abilities. The dyslexics were found to exhibit a generally poor cognitive profile, including their attention, visual working memory, naming, visual perception and speed of processing abilities, with the exception of high executive functions skills. Furthermore, naming speed, visual working memory and attention were significantly associated with decoding and fluency measures and predicted group difference after controlling for phonological skills. The findings point to the contribution of cognitive factors to decoding rate and possibly to the ability of utilizing rapid orthographic processes, thus effecting dyslexics’ reading performance.

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.

Similar content being viewed by others

References

  • Amitay, S., Ben-Yehudah, G., Banai, K., & Ahissar, M. (2002). Disabled readers suffer from visual and auditory impairments but not from a specific magnocellular deficit. Brain, 125, 2272–2285.

    Article  Google Scholar 

  • Araújo, S., Faísca, L., Bramão, I., Inácio, F., Petersson, K. M., & Reis, A. (2011). Object naming in dyslexic children: More than a phonological deficit. The Journal of General Psychology, 138, 3215–3228.

    Article  Google Scholar 

  • Awh, E., Vogel, E., & Oh, S.-H. (2006). Interactions between attention and working memory. Neuroscience, 139, 201–208.

    Article  Google Scholar 

  • Baddeley, A. D. (1990). Human memory: Theory and practice. Hillsdale, NJ: Lawrence Erlbaum & Associates.

    Google Scholar 

  • Baddeley, A. D. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Science, 4, 417–423.

    Article  Google Scholar 

  • Badian, N. A. (2001). Phonological and orthographic processing: Their roles in reading prediction. Annals of Dyslexia, 51, 179–202.

    Article  Google Scholar 

  • Banai, K., & Ahissar, M. (2010). On the Importance of Anchoring and the consequences of its impairment in Dyslexia. Dyslexia, 16, 240–257.

    Article  Google Scholar 

  • Ben-Dror, I., Bentin, S., & Frost, R. (1995). Semantic, phonological and morphological awareness in children with reading disability and normally achieving readers: Evidence from speech perception and production. Reading Research Quarterly, 30, 876–893.

    Article  Google Scholar 

  • Ben-Dror, I., Pollatsek, A., & Scarpati, S. (1991). Word identification in isolation and in context by college dyslexic students. Brain and Language, 31, 308–327.

    Google Scholar 

  • Ben-Dror, I., & Shany, M. (1996). Phoneme Recognition Test for Words and Pseudowords. Unpublished Test.

  • Bishop, A. G., & League, M. B. (2006). Identifying a multivariate screening model to predict reading difficulties at the onset of kindergarten: A longitudinal analysis. Learning Disability Quarterly, 29, 235–252.

    Article  Google Scholar 

  • Blachman, B. A. (1984). Relationship of rapid naming ability and language analysis skills to kindergarten and first-grade reading achievement. Journal of Educational Psychology, 76, 610–622.

    Article  Google Scholar 

  • Bosse, M. L., Tainturier, M. J., & Valdois, S. (2007). Developmental dyslexia: The visual attentional span deficit hypothesis. Cognition, 104, 198–230.

    Article  Google Scholar 

  • Bosse, M. L., & Valdois, S. (2009). Influence of the visual attentional span on child reading performance: A cross sectional study. Journal of Research in Reading, 32, 230–253.

    Article  Google Scholar 

  • Bowers, P. G. (1995). Tracing symbol naming speed’s unique contributions to reading disability over time. Reading and Writing: An Interdisciplinary Journal, 7, 189–216.

    Article  Google Scholar 

  • Bowers, P., Golden, J., Kennedy, A., & Young, A. (1994). Limits upon orthographic knowledge due to processing indexed by naming speed. In V. W. Berninger (Ed.), The varieties of orthographic knowledge I: Theoretical and developmental issues (pp. 173–218). Dordrecht: Kluwer.

    Chapter  Google Scholar 

  • Bowers, P. G., & Ishaik, G. (2003). RAN’s contribution to understanding reading disabilities. In H. L. Swanson, K. R. Harris, & S. Graham (Eds.), Handbook of learning disabilities (pp. 140–157). New York: Guilford Publications, Inc.

    Google Scholar 

  • Bowers, P. G., & Swanson, L. B. (1991). Naming speed deficits in reading disability. Journal of Experimental Child Psychology, 51, 195–219.

    Article  Google Scholar 

  • Bowers, P. G., & Wolf, M. (1993a). A double-deficit hypothesis for developmental reading disorders. Paper presented at the biennial meeting of the Society for Research in Child Development, New Orleans.

  • Bowers, P. G., & Wolf, M. (1993b). Theoretical links among naming speed, precise timing mechanisms and orthographic skill in dyslexia. Reading and Writing: An Interdisciplinary Journal, 5, 69–85.

    Article  Google Scholar 

  • Breznitz, Z. (1997a). Enhancing the reading of dyslexics by reading acceleration andauditory masking. Journal of Educational Psychology, 89, 236–246.

    Google Scholar 

  • Breznitz, Z. (1997b). Orthographic test. Unpublished test, Haifa University, Haifa.

  • Breznitz, Z. (2002). Asynchrony of visual-orthographic and auditory-phonological word recognition processes: An underlying factor in dyslexia. Reading and Writing: An Interdisciplinary Journal, 15, 15–42.

    Article  Google Scholar 

  • Breznitz, Z. (2003a). Speed of phonological and orthographic processing as factors in dyslexia: Electrophysiological evidence. Genetic, Social, and General Psychology Monographs, 129, 183–206.

    Google Scholar 

  • Breznitz, Z. (2003b). Rapid automatized naming. Unpublished test, Haifa University, Haifa, Israel.

  • Breznitz, Z. (2006). Fluency in reading: Synchronization of processes. Mahwah: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

  • Breznitz, Z., & Meyler, A. (2003). Speed of lower-level auditory and visual processing as a basic factor in dyslexia: Electrophysiological evidence. Brain and Language, 85, 166–184.

    Article  Google Scholar 

  • Breznitz, Z., & Misra, M. (2003). 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, 85, 486–502.

    Article  Google Scholar 

  • Brosnan, M., Demetre, J., Hamill, S., Robson, K., Shepherd, H., & Cody, G. (2002). Executive functioning in adults and children with developmental dyslexia. Neuropsychologia, 40, 2144–2155.

    Article  Google Scholar 

  • Bruck, M. (1985). The adult functioning of children with specific learning disabilities: A follow-up study. In I. E. Siegel (Ed.), Advances in applied developmental psychology (pp. 91–129). Norwood: Ablex.

    Google Scholar 

  • Bruck, M. (1990). Word recognition skills of adults with childhood diagnoses of dyslexia. Developmental Psychology, 26, 439–454.

    Article  Google Scholar 

  • Bruck, M. (1992). Persistence of dyslexics’ phonological deficits. Developmental Psychology, 28, 874–886.

    Article  Google Scholar 

  • Bull, R., Espy, K. A., & Wiebe, S. A. (2008). Short-term memory, working memory, and executive functioning in preschoolers: Longitudinal predictors of mathematical achievement at age 7 years. Developmental Neuropsychology, 33, 205–228.

    Article  Google Scholar 

  • Burgess, G. C., Depue, B. E., Ruzic, L., Willcutt, E. G., Du, Y. P., & Banich, M. T. (2009). Attentional control activation related to working memory in attention: Deficit/hyperactivity disorder. Biological Psychiatry. doi:10.1016/j.biopsych.2009.10.03.

    Google Scholar 

  • Chase, C., & Stein, J. (2003). Visual magnocellular deficits in dyslexia. Brain, 126(e2). doi:10.1093/brain/awg217.

  • Cognifit. (2006). Personalized brain fitness programs. Retrieved from (http://www.cognifit.com).

  • Cohen-Mimran, R., & Sapir, S. (2007). Deficits in working memory in young adults with reading disabilities. Journal of Communication Disorders, 40, 168–183.

    Article  Google Scholar 

  • Commodari, E., & Guarnera, M. (2005). Attention and reading skills. Perceptual and Motor Skills, 100, 375–386.

    Article  Google Scholar 

  • Conrad, N. J., & Levy, B. A. (2007). Letter processing and the formation of memory representations in children with naming speed deficits. Reading and Writing: An Interdisciplinary Journal, 20, 201–223.

    Article  Google Scholar 

  • Cutting, L. E., & Denckla, M. B. (1999). The relationship of rapid serial naming and word reading in normally developing readers: An exploratory model. Reading and Writing: An Interdisciplinary Journal, 14, 673–705.

    Article  Google Scholar 

  • Dally, K. (2006). The influence of phonological processing and inattentive behavior on reading acquisition. Journal of Educational Psychology, 98, 420–437.

    Article  Google Scholar 

  • Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19, 450–466.

    Article  Google Scholar 

  • Daneman, M., & Merikle, P. M. (1996). Working memory and language comprehension: A meta-analysis. Psychonomic Bulletin & Review, 3, 442–533.

    Article  Google Scholar 

  • de Jong, P. F., & van der Leij, A. (1999). Specific contributions of phonological abilities to early reading acquisition: Results from a Dutch latent variable longitudinal study. Journal of Educational Psychology, 91, 450–476.

    Article  Google Scholar 

  • de Jong, P. F., & Vrielink, L. O. (2004). Rapid automatic naming: Easy to measure, hard to improve (quickly). Annals of Dyslexia, 54, 65–88.

    Article  Google Scholar 

  • Denckla, M. B., & Cutting, L. E. (1999). History and significance of rapid automatized naming. Annals of Dyslexia, 49, 29–42.

    Article  Google Scholar 

  • Elbro, C., Nielsen, I., & Petersen, D. K. (1994). Dyslexia in adults: Evidence for deficits in non-word reading and in the phonological representation of lexical items. Annals of Dyslexia, 44, 205–226.

    Article  Google Scholar 

  • Facoetti, A., Corradi, N., Ruffino, M., Gori, S., & Zorzi, M. (2010a). Visual spatial attention and speech segmentation are both impaired in preschoolers at familial risk for developmental dyslexia. Dyslexia, 16, 226–239.

    Article  Google Scholar 

  • Facoetti, A., Lorusso, M. L., Paganoni, P., Cattaneo, C., Galli, R., Umilta, C., et al. (2003). Auditory and visual automatic attention deficits in developmental dyslexia. Cognitive Brain Research, 16(2), 185–191.

    Article  Google Scholar 

  • Facoetti, A., Paganoni, P., & Lorusso, M. L. (2000). The spatial distribution of visual attention in developmental dyslexia. Experimental Brain Research, 132, 531–538.

    Article  Google Scholar 

  • Facoetti, A., Trussardi, A. N., Ruffino, M., Lorusso, M. L., Cattaneo, C., Galli, R., et al. (2010b). Multisensory spatial attention deficits are predictive of phonological decoding skills in developmental dyslexia. Journal of Cognitive Neuroscience, 22, 1011–1025.

    Article  Google Scholar 

  • Farmer, M. E., & Klein, R. M. (1995). The evidence for a temporal processing deficit linked to dyslexia: A review. Psychonomic Bulletin & Review, 2, 460–493.

    Article  Google Scholar 

  • Fletcher, J. M. (2009). Dyslexia: The evolution of a scientific concept. Journal of the International Neuropsychological Society, 15, 501–508.

    Article  Google Scholar 

  • Fletcher, J. M., Lyon, G. R., Fuchs, L. S., & Barnes, M. A. (2007). Learning disabilities: From identification to intervention. New York: Guilford Press.

    Google Scholar 

  • Gallagher, A. M., Laxon, V., Armstrong, E., & Frith, U. (1996). Phonological difficulties in high-functioning dyslexics. Reading and Writing: An Interdisciplinary Journal, 8, 499–509.

    Article  Google Scholar 

  • Gathercole, S. E., Alloway, T. P., Willis, C., & Adams, A. M. (2006). Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93, 265–281.

    Article  Google Scholar 

  • Gathercole, S. E., & Pickering, S. J. (2000). Working memory deficits in children with low achievements in the national curriculum at 7 years of age. British Journal of Education Psychology, 70, 77–194.

    Article  Google Scholar 

  • Georgiou, G. K., Parrila, R., Kirby, J. R., & Stephenson, K. (2008a). Rapid naming components and their relationship with phonological awareness, orthographic knowledge, speed of processing and different reading outcomes. Scientific Studies of Reading, 12, 325–350.

    Article  Google Scholar 

  • Georgiou, G. K., Parrila, R., & Liao, C. H. (2008b). Rapid naming speed and reading across languages that vary inorthographic consistency. Reading and Writing: An Interdisciplinary Journal, 21, 885–903.

    Article  Google Scholar 

  • Haimov, I., Hanuka, E., & Horowitz, Y. (2008). Chronic Insomnia and cognitive functioning among older adults. Behavioral Sleep Medicine, 6, 32–54.

    Article  Google Scholar 

  • Hari, R., Valta, M., & Uutela, K. (1999). Prolonged attentional dwell time in dyslexic adults. Neuroscience Letters, 271, 202–204.

    Article  Google Scholar 

  • Hawelka, S., & Wimmer, H. (2005). Impaired visual processing of multi-element arrays is associated with increased number of eye movements in dyslexic reading. Vision Research, 45, 855–863.

    Article  Google Scholar 

  • Ho, C. S.-H., & Lai, D. N.-C. (1999). Naming-speed deficits and phonological memory deficits in Chinese developmental dyslexia. Learning and Individual Differences, 11, 173–186.

    Article  Google Scholar 

  • Jeffries, S. A., & Everatt, J. E. (2003). Differences between dyspraxics and dyslexics in sequence learning and working memory. Dyspraxia Foundation Professional Journal, 2, 12–21.

    Google Scholar 

  • Jeffries, S. A., & Everatt, J. E. (2004). Working memory: Its role in dyslexia and other specific learning difficulties. Dyslexia, 10, 196–214.

    Article  Google Scholar 

  • Jones, M. W., Branigan, H. P., & Kelly, M. L. (2008). Visual deficits in developmental dyslexia: Relationships between non-linguistic visual tasks and their contribution to components of reading. Dyslexia, 14, 95–115.

    Article  Google Scholar 

  • Judge, J., Caravolas, M., & Knox, P. C. (2007). Visual attention in adults with developmental dyslexia: Evidence from manual reaction time and saccade latency. Cognitive Neuropsychology, 24, 260–278.

    Article  Google Scholar 

  • Katzir, T., Kim, Y. S., Wolf, M., Kennedy, B., Lovett, M., & Morris, R. (2006). The relationship of spelling recognition, RAN, and phonological awareness to reading skills in older poor readers and younger reading-matched controls. Reading and Writing: An Interdisciplinary Journal, 19, 845–872.

    Article  Google Scholar 

  • Katzir, T., Shaul, S., Breznitz, Z., & Wolf, M. E. (2004). The universal and the unique in dyslexia: A cross-linguistic investigation of reading and reading fluency in Hebrew-and-English-speaking children with reading disorders. Reading and Writing: An Interdisciplinary Journal, 17, 739–768.

    Article  Google Scholar 

  • Kemp, N., Parrila, R. K., & Kirby, J. R. (2009). Phonological and orthographic spelling in high-functioning adult dyslexics. Dyslexia, 15, 105–128.

    Article  Google Scholar 

  • Kibby, M. Y., Marks, W., Morgan, S., & Long, C. J. (2004). Specific impairment in developmental reading disabilities: A working memory approach. Journal of Learning Disability, 37, 349–363.

    Article  Google Scholar 

  • Kirby, J. R., Parrila, R., & Pfeiffer, S. (2003). Naming speed and phonological awareness as predictors of reading development. Journal of Educational Psychology, 95, 453–464.

    Article  Google Scholar 

  • Klorman, R., Hazel- Fernandez, L. A., Shaywitz, S. E., Fletcher, J. M., Marchione, K. E., Holahan, J. M., et al. (1999). Executive functioning deficits in attention- deficit/hyperactivity disorder are independent of oppositional defiant or reading disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 38, 1148–1155.

    Article  Google Scholar 

  • Korhonen, T. T. (1995). The persistence of rapid naming problems in children with reading disabilities: A nine-year follow-up. Journal of Learning Disabilities, 28, 232–239.

    Article  Google Scholar 

  • Kulp, M. T., Edwards, K. E., & Mitchell, G. L. (2002). Is visual memory predictive of below-average academic achievement in second through fourth graders? Optometry and Vision Science, 79, 431–434.

    Article  Google Scholar 

  • LaBerge, D., & Samuels, S. J. (1974). Toward a theory of automatic information processing in reading. Cognitive Psychology, 6, 293–323.

    Article  Google Scholar 

  • Lassus-Sangosse, D., N’Guyen-Morel, M. A., & Valdois, S. (2008). Sequential or simultaneous visual processing deficit in developmental dyslexia. Vision Research, 48, 979–988.

    Article  Google Scholar 

  • Lefly, D. L., & Pennington, B. F. (1991). Spelling errors and reading fluency in compensated adult dyslexics. Annals of Dyslexia, 41, 143–162.

    Article  Google Scholar 

  • Lervåg, A., & Hulme, C. (2009). Rapid automatized naming (RAN) taps a mechanism that places constraints on the development of early reading fluency. Psychological Science, 20, 1040–1048.

    Article  Google Scholar 

  • Lindgrén, S. A., & Laine, M. (2011). Cognitive-linguistic performances of multilingual university students suspected of dyslexia. Dyslexia, 17, 184–200.

    Article  Google Scholar 

  • Lipowska, M., Czaplewska, E., & Wysocka, A. (2011). Visuospatial deficits of dyslexic children. Medical Science Monitor, 17(4):CR216–21.

    Google Scholar 

  • Locascio, G., Mahone, E. M., Eason, S. H., & Cutting, L. E. (2010). Executive dysfunction among children with reading comprehension deficits. Journal of Learning Disabilities, 43, 441–454.

    Article  Google Scholar 

  • Lonigan, C. J., Burgess, S. R., Anthony, J. L., Bacon, K. D., Philips, B. M., & Samwel, C. S. (1999). Relations among emergent literacy skills, behavior problems, and social competence in preschool children from low- and middle-income backgrounds. Topics in Early Childhood Special Education, 19, 40–53.

    Article  Google Scholar 

  • Lovegrove, W. (1992). The visual deficit hypothesis. In N. Singh & Beale (Eds.), Learning disabilities: Nature, theory and treatment (pp. 246–269). New York: Springer.

  • Lovett, M. W., Warren-Chaplin, P. M., Ransby, M. J., & Borden, S. L. (1990). Training the word recognition skills of reading disabled children: Treatment and transfer effects. Journal of Educational Psychology, 82, 769–780.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Marendaz, C., Valdois, S., & Walch, J. P. (1996). Dyslexiedeveloppementale et attention e!visuo-spatiale. L’Annee Psychologique, 96, 193–224.

    Article  Google Scholar 

  • MATAL. (2007). Diagnostic battery for the assessment of learning functions. Jerusalem: The Council for Higher Education and the Center for Psychometric Tests.

    Google Scholar 

  • McBride-Chang, C., & Manis, F. R. (1996). Structural invariance in the associations of naming speed, phonological awareness, and verbal reasoning in good and poor readers: A test of the double-deficit hypothesis. Reading and Writing: An Interdisciplinary Journal, 8, 323–339.

    Article  Google Scholar 

  • McClelland, M. M., Cameron, C. E., Connor, C. M., Farris, C. L., Jewkes, A. M., & Morrison, F. J. (2007). Links between behavioral regulation and preschoolers’ literacy, vocabulary, and math skills. Developmental Psychology, 43, 947–959.

    Article  Google Scholar 

  • McLean, G. M., Stuart, G. W., Coltheart, V., & Castles, A. (2011). Visual temporal processing in dyslexia and the magnocellular deficit theory: The need for speed? Journal of Experimental Psychology: Human Perception and Performance. doi:10.1037/a0024668.

    Google Scholar 

  • Menghini, D., Finzi, A., Carlesimo, G. A., & Vicari, S. (2011). Working memory impairment in children with developmental dyslexia: Is it just a phonological deficit? Developmental Neuropsychology, 36, 199–213.

    Article  Google Scholar 

  • Miller-Shaul, S. (2005). The characteristics of young and adult dyslexics readers on reading related and cognitive tasks as compared to normal readers. Dyslexia, 11, 132–151.

    Article  Google Scholar 

  • Nahri, V., & Ahonen, T. (1995). Reading disability with or without Attention Deficit Hyperactivity Disorder: Do attentional problems make a difference? Developmental Neuropsychology, 11, 337–349.

    Article  Google Scholar 

  • Nevo, E., & Breznitz, Z. (2011). Assessment of working memory components at 6 years of age as predictors of reading achievements a year later. Journal of Experimental Child Psychology, 109, 73–90.

    Article  Google Scholar 

  • Nicolson, R. I., & Fawcett, A. J. (1990). Automaticity: A new framework for dyslexia research? Cognition, 30, 159–182.

    Article  Google Scholar 

  • Norton, E. S., & Wolf, M. (2012). Rapid automatized naming (RAN) and reading fluency: Implications for understanding and treatment of reading disabilities. Annual Review of Psychology. doi:10.1146/annurev-psych-120710-100431.

    Google Scholar 

  • Numminen, H., Service, E., & Ruoppila, I. (2002). Working memory, intelligence and knowledge base in adult persons with intellectual disability. Research in Developmental Disabilities, 23, 105–118.

    Article  Google Scholar 

  • Pennington, B. F. (2009). Diagnosing learning disorders: A neuropsychological framework (2nd ed.). New York: Guilford Press.

    Google Scholar 

  • Pennington, B. F., McCabe, L. L., Smith, S. D., Lefly, D. L., Bookman, M. O., Kimberling, W. J., et al. (1986). Spelling errors in adults with a form of familial dyslexia. Child Development, 57, 1001–1013. doi:10.2307/1130374.

    Article  Google Scholar 

  • Ransby, M. J., & Swanson, H. L. (2003). Reading comprehension skills of young adults with childhood diagnosis of Dyslexia. Journal of Learning Disabilities, 36, 538–555. doi:10.1177/00222194030360060501.

    Article  Google Scholar 

  • Raven, J. C. (1960). Guide to the standard progressive matrices, H.K. Lewis, London.

  • Reading Comprehension Tests. (1995). The center of testing and evaluation. Israel: Israeli Ministry of Education Jerusalem.

    Google Scholar 

  • Reiter, A., Tucha, O., & Lange, K. W. (2005). Executive functions in children with dyslexia. Dyslexia, 11, 16–31. doi:10.1002/dys.289.

    Article  Google Scholar 

  • Romani, C., Tsouknida, E., di Betta, A. M., & Olson, A. (2011). Reduced attentional capacity, but normal processing speed and shifting of attention in developmental dyslexia: Evidence from a serial task. Cortex, 47, 715–733.

    Article  Google Scholar 

  • Schatschneider, C., Fletcher, J. M., Francis, D. J., Carlson, C. D., & Foorman, B. R. (2004). Kindergarten prediction of reading skills: A longitudinal comparative analysis. Journal of Educational Psychology, 96, 265–282.

    Article  Google Scholar 

  • Sesma, H. W., Mahone, E. M., Levine, T., Eason, S. H., & Cutting, L. E. (2009). The contribution of executive skills to reading comprehension. Child Neuropsychology, 15, 232–246.

    Article  Google Scholar 

  • Shanahan, M. A., Pennington, B. F., Yerys, B. E., Scott, A., Boada, R., Willcutt, E. G., et al. (2006). Processing speed deficits in attention-deficit/hyperactivity disorder and reading disability. Journal of Abnormal Child Psychology, 34, 585–602.

    Article  Google Scholar 

  • Shany, M., & Breznitz, Z. (2011). Rate- and accuracy- disabled subtype profiles among adults with dyslexia in the Hebrew orthography. Developmental Neuropsychology, 36, 889–913.

    Article  Google Scholar 

  • Share, D. L. (1994). Deficient phonological processing in disabled readers implicates processing deficits beyond the phonological module. In K. P. van den Bos, L. S. Siegal, D. J. Bakker, & D. L. Share (Eds.), Current directions in dyslexia research. Lisse: Swets & Zeitlinger B. V.

    Google Scholar 

  • Share, D. L. (2008). On the Anglocentricities of current reading research and practice: The perils of overreliance on an “outlier” orthography. Psychological Bulletin, 134, 584–615.

    Article  Google Scholar 

  • Share, D. L., & Levin, I. (1999). Learning to read and write in Hebrew. In M Harris, and G. Hatano (Eds.), Learning to read and write. (pp. 89–111), Cambridge: Cambridge University Press.

  • Shatil, E. (1995a). One-minute test for words. Unpublished test, University of Haifa, Haifa.

  • Shatil, E. (1995b). One-Minute Test for pseudo-words. Unpublished test, University of Haifa, Haifa.

  • Shatil, E. (1997a). Segmentation test. Unpublished test. University of Haifa, Haifa.

  • Shatil, E. (1997b). Spelling test. Unpublished test, Haifa University, Haifa.

  • Shaywitz, S. (1998). Current concepts: Dyslexia. New English Journal of Medicine, 338, 307–312.

    Article  Google Scholar 

  • Shaywitz, S. E., Shaywitz, B. A., Fullbright, R. K., Skudlarski, P., Mencl, W., Constable, R., et al. (2003). Neural systems for compensation and persistence: Young adult outcome of childhood reading disability. Biological Psychiatry, 54, 25–33.

    Article  Google Scholar 

  • Siegel, L. S., & Ryan, E. B. (1989). The development of working memory in normally achieving and subtypes of learning disabled children. Child Development, 60, 973–980.

    Article  Google Scholar 

  • Siegel, L. S., Share, D., & Geva, E. (1995). Evidence for superior orthographic skills in dyslexics. Psychological Science, 6, 250–254.

    Article  Google Scholar 

  • Smith-Spark, J. H., & Fisk, J. E. (2007). Working memory functioning in developmental dyslexia. Memory, 15, 34–56.

    Article  Google Scholar 

  • Smith-Spark, J. H., Fisk, J. E., Fawcett, A. J., & Nicolson, R. I. (2003). Investigating the central executive in adult dyslexics: Evidence from phonological and visuospatial working memory performance. European Journal of Cognitive Psychology, 15, 567–587.

    Article  Google Scholar 

  • Snowling, M. J. (1995). Phonological processing and developmental dyslexia. Journal of Research in Reading, 18, 132–138.

    Article  Google Scholar 

  • Snowling, M., Nation, K., Moxham, P., Gallagher, A., & Frith, U. (1997). Phonological processing skills of dyslexic students in higher education: A preliminary report. Journal of Research in Reading, 20, 31–41.

    Article  Google Scholar 

  • St. Clair-Thompson, H. L., & Gathercole, S. E. (2006). Executive functions and achievements in school: Shifting, updating, inhibition, and working memory. Quarterly Journal of Experimental Psychology, 59, 745–759.

    Article  Google Scholar 

  • Stanovich, K. E., West, R. F., & Cunningham, A. E. (1991). Beyond phonological processes: Print exposure and orthographic processing. In S. A. Brady, & D. P. Shankweiler (Eds.), Phonological processes in literacy: A tribute to Isabelle Y. Liberman (pp. 219–235). Hillsdale, NJ: Lawrence Erlbaum Associates.

  • Stenneken, P., Egetemeir, J., Schulte-Körne, G., Müller, H. J., Schneider, W. X., & Finke, K. (2011). Slow perceptual processing at the core of developmental dyslexia: A parameter-based assessment of visual attention. Neuropsychologia. doi:10.1016/j.neuropsychologia.2011.08.021.

    Google Scholar 

  • Swanson, H. L. (1993). Individual differences in working memory: A model testing and subgroup analysis of learning disabled and skilled readers. Intelligence, 17, 285–332.

    Article  Google Scholar 

  • Swanson, H. L., Howard, C. B., & Saez, L. (2006). Do different components of working memory underlie different subgroups of reading disabilities? Journal of Learning Disabilities, 39, 252–269.

    Article  Google Scholar 

  • Swanson, H. L., & Jerman, O. (2007). The influence of working memory on reading growth in subgroups of children with reading disabilities. Journal of Experimental Child Psychology, 96, 249–283.

    Article  Google Scholar 

  • Swanson, H. L., & Sachse-Lee, C. (2001). A subgroup analysis of working memory in children with reading disabilities: Domain-general or domain-specific deficiency? Journal of Learning Disabilities, 34, 249–263.

    Article  Google Scholar 

  • Tallal, P. (1984). Temporal or phonetic processing deficit in dyslexia? That is the question. Applied Psycholinguistics, 5, 167–169.

    Article  Google Scholar 

  • Torgesen, J. K., Wagner, R. K., Rashotte, C. A., Burgess, S., & Hecht, S. (1997). Contributions of phonological awareness and rapid automatized naming ability to growth of word-reading skills in second-to fifth- grade children. Scientific Studies of Reading, 1, 161–185.

    Article  Google Scholar 

  • Valdois, S., Bosse, M. L., & Tainturier, M. J. (2004). The cognitive deficits responsible for developmental dyslexia: Review of evidence for a selective visual attentional disorder. Dyslexia, 10, 339–363.

    Article  Google Scholar 

  • van der Sluis, S., de Jong, P. F., & van der Leij, A. (2004). Inhibition and shifting in children with learning deficits in arithmetic and reading. Journal of Experimental Child Psychology, 87, 239–266.

    Article  Google Scholar 

  • Vellutino, F. R., Fletcher, J. M., Snowling, M. J., & Scanlon, D. M. (2004). Specific reading disability (dyslexia): What have we learned in the past four decades? Journal of Child Psychology and Psychiatry, 45, 2–40.

    Article  Google Scholar 

  • Vukovic, R. K., & Siegel, L. S. (2006). The double-deficit hypothesis: A comprehensive analysis of the evidence. Journal of Learning Disabilities, 39, 25–47.

    Article  Google Scholar 

  • Wagner, R. K., & Torgesen, J. K. (1987). The nature of phonological processing and its causal role in the acquisition of reading skills. Psychological Bulletin, 101, 192–212.

    Article  Google Scholar 

  • Wagner, R. K., Torgesen, J. K., Laughon, P., Simmons, K., & Rashotte, C. A. (1993). Development of young readers’ phonological processing abilities. Journal of Educational Psychology, 85, 83–103.

    Article  Google Scholar 

  • Wechsler, D. (1997). Wechsler adult intelligence scale: Administration and scoring manual (3rd ed.). San Antonio, TX: Psychological Corp.

    Google Scholar 

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

    Article  Google Scholar 

  • Winner, E., von Károlyi, C., Malinski, D., French, L., Seigler, C., Ross, E., et al. (2001). Dyslexia and visual-spatial talents: Compensation vs. deficit model. Brain and Language, 76, 81–110.

    Article  Google Scholar 

  • Wolf, M. (1991). Naming speed and reading: The contribution of the cognitive neurosciences. Reading Research Quarterly, 26, 123–141.

    Article  Google Scholar 

  • Wolf, M., & Bowers, P. G. (1999). The “double-deficit hypothesis” for the developmental dyslexia. Journal of Educational Psychology, 91, 1–24.

    Article  Google Scholar 

  • Wolf, M., Bowers, P. G., & Biddle, K. (2000). Naming-speed processes, timing, and reading: A conceptual review. Journal of Learning Disabilities, 33, 387–407.

    Article  Google Scholar 

  • Wolf, M., Goldberg-O’rourke, A., Gidney, C., Lovett, M., Cirino, P., & Morris, R. (2002). The second deficit: An investigation of the independence of phonological and naming-speed deficits in developmental dyslexia. Journal of Reading and Writing: An Interdisciplinary Journal, 15, 43–72.

    Article  Google Scholar 

  • Wolf, M. & Katzir-Cohen, T. (2001). Reading fluency and its intervention. Scientific Studies of Reading, 5, pp. 211–238. Special Issue on Fluency. Editors: E. Kameenui & D. Simmons.

  • Wolf, M., & Obregón, M. (1992). Early naming deficits, developmental dyslexia, and a specific deficit hypothesis. Brain and Language, 42, 219–247. doi:10.1016/0093-934X(92)90099-Z.

    Article  Google Scholar 

  • Wolf, M., & Obregón, M. (1997). Naming-speed deficits and the “Double- Deficit” Hypothesis: Implications for diagnosis and practice in reading disabilities. In L. Putnam & S. Stahl (Eds.), Readings on language and literacy. Cambridge, MA: Brookline Books.

    Google Scholar 

  • Wolff, P. H. (2002). Timing precision and rhythm in developmental dyslexia. Reading and Writing: An Interdisciplinary Journal, 15, 179–206.

    Article  Google Scholar 

  • Wolff, P. H., Michel, G. F., & Ovrut, M. (1990). Rate variables and automatized naming in developmental dyslexia. Brain and Language, 39, 556–575.

    Article  Google Scholar 

  • Yap, R. L., & van der Leij, A. (1993). Word processing in dyslexics: An automatic decoding deficit? Reading and Writing: An Interdisciplinary Journal, 5, 261–279.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zvia Breznitz.

Appendix

Appendix

A description of the N-CPC baseline cognitive tasks and the cognitive abilities they measure.

Task 1. Object on a square: In this task, the participant is required to track the movement of an object (on a square) while keeping the mouse cursor exactly in the center of the object. This task measured sustained attention, spatial perception and hand-eye coordination.

Tasks 2, 3 and 4. Circle, Colors, Circle and Colors: In the first task, the participant is required to track a ball in circle with the mouse cursor. This task measures spatial perception, sustained attention, and hand eye-coordination. The second task is a STROOP like task in which the participant is presented with a colored word and is required to press the space-bar if the word matched the color. This task measures inhibition. The third task is a combination of Tasks 2 & 3; to track a ball with the mouse using one hand and simultaneously perform the STROOP like-task by pressing the space bar with the other hand. This task measures divided attention.

Task 5. Pictures and cards: A combination of three objects is presented on the screen. The participant is required to click on the card that contains the combination of the three objects exactly as they appeared previously. Exposure time and the distance between the objects change from trial to trial. This task measures visual working memory and response time.

Task 6. Solid Circle: In this task, the participant is required to click on a ball appearing at different locations on the screen. A distracting yellow hoop will also appear on the screen, however, the participant is required to ignore the hoop and continue clicking on the ball. This task measures, visual scanning, sustained attention and avoiding distractors.

Task 7. Flowers & Number: This task has four parts. In the first part a number of scattered flowers are presented on the screen. Some of the flowers will light up sequentially one after the other. The participant is required to click on the flowers and repeat the exact sequence in order. The second part is similar to part one, however, a second lightening pattern is presented after the required sequence, which the participant is required to ignore. In the third part, a number sequence is presented (one number after the other), and the participant is required to repeat the exact sequence. In the fourth part, numbers are presented one after the other, and the participant has to repeat them in reverse order. This task measures visual working memory, avoiding distractors and visual perception.

Task 8. Blue Square: In this task, the participant is required to move the cursor to the middle of a square presented on the screen, and to click 6 times as quickly as possible on this location. This task measures eye-hand coordination.

Task 9. Blue bulb: In this task, a bulb is presented on the screen and lights up several times. The participant is required to press on the bulb every time it lights as fast as possible. This task measures response time.

Task 10. Higher numbers-Bigger squares: This task contains two parts. In the first part two squares are presented on the screen; each of them contains a number. The size of the squares and the numbers vary. The participant is required to click on the bigger square, as quickly as possible. In the second part, the participant is required to click on the square that contains the higher number, as quickly as possible. This task measures shifting attention.

Task 11. The Numbers: In this task, the participant is required to click on ten consecutive numbers in clockwise direction as quickly as possible. This task measures reaction time, hand-eye coordination, and spatial perception.

Task 12. Pictures and words: In this task, pictures of objects are displayed on the screen, one after the other, followed by visually or auditory presented words. The participant is required to decide whether or not the word is actually the name of the object in the picture by pressing on one of two different keys. This task measures naming, verbal auditory working memory and visual working memory.

Task 13. The Ball: In this task, the participant is required to track a ball moving in different directions with the cursor. This task measures sustained attention and spatial perception.

Task 14. The Mazes: In this task, the participant is required to move the ball from the upper right corner to the lower left corner of three mazes finding the shortest path possible. The level of complexity increases with each subsequent maze. The software measures the number of errors made per maze. This task measures planning.

Task 15. The Television: In this task, the participant is required to listen to two sounds or to look at two pictures and estimate which picture (or sound) was presented for a longer duration. This task measures visual working memory, auditory (non-linguistic) working memory and time estimation.

Task 16. The Letters: In this task, pictures or objects are presented on the screen for a short period of time. After the picture disappears, four different letters are displayed. The participant is required to choose the first letter of the name of the object and to click on it as quickly as possible. This task measures naming and response time.

Task 17. Objects seen or heard before: A series of objects are presented on the screen. The participant is required to decide whether or not the object was presented in earlier tasks. The participant should also state whether it was a visual or an auditory presentation. This task measures awareness.

General memory was computed by the software as an average from several memory constructs such as recalling names, verbal working memory and visual perception (visual spatial working memory).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Beidas, H., Khateb, A. & Breznitz, Z. The cognitive profile of adult dyslexics and its relation to their reading abilities. Read Writ 26, 1487–1515 (2013). https://doi.org/10.1007/s11145-013-9428-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11145-013-9428-5

Keywords

Navigation