Skip to main content

Reading and Dyslexia: The Functional Coordination Framework

  • Chapter

Part of the book series: Literacy Studies ((LITS,volume 16))

Abstract

The Functional Coordination approach of reading acquisition claims that beginning readers draw on established cognitive functions that are (1) recruited, (2) modified, and (3) coordinated to create a cognitive procedure for reading text, which forms the basis of subsequent (4) automatization. In this chapter we will focus on visual functions and how they are modified and coordinated with other cognitive functions involved in a reading specific cognitive procedure. Evidence relating to the emerging prevalence of analytic processing in letter perception is discussed. It is argued that the process of learning to read does not lead to a loss (recycling) of perceptual skills, but to a novel synthesis of functions, which are coordinated for reading and then automatized as a package. Developmental dyslexia is explained as a Functional Coordination Deficit (Lachmann 2002), since the coordination stage is assumed to be most liable to manifest deficiencies. Developmental dyslexia is not seen as a consequence of a deficit in a single function or in automatization, but as result of automatizing a suboptimal functional coordination. This integrative approach is a mere framework, rather than an explanatory theory, and is open to multi-causal explanations. Rather than solving the puzzle, the framework offers a structure for integrating various theories on reading and dyslexia.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ackermann, H., & Hertrich, I. (2000). The contribution of the cerebellum to speech processing. Journal of Neurolinguistics, 13(2–3), 95–116. https://doi.org/10.1016/S0911-6044(00)00006-3

    Google Scholar 

  • Ahissar, M., Protopapas, A., Reid, M., & Merzenich, M. M. (2000). Auditory processing parallels reading abilities in adults. Proceedings of the National Academy of Sciences of the United States of America, 97(12), 6832–6837. https://doi.org/10.1073/pnas.97.12.6832

    Google Scholar 

  • Ambler, B. A., & Proctor, J. D. (1976). The familiarity effect for single-letter pairs. Journal of Experimental Psychology: Human Perception and Performance, 2(2), 222–234.

    Google Scholar 

  • Amirkhiabani, G. (1998). Relative size of global visual stimulus: Advantage and interference. Perceptual and Motor Skills, 86(3 Pt 2), 1427–1441. https://doi.org/10.2466/pms.1998.86.3c.1427

    Google Scholar 

  • Amirkhiabani, G., & Lovegrove, W. J. (1996). Role of eccentricity and size in the global precedence effect. Journal of Experimental Psychology: Human Perception and Performance, 22(6), 1434–1447. https://doi.org/10.1037/0096-1523.22.6.1434

    Google Scholar 

  • Au, A., & Lovegrove, B. (2007). The contribution of rapid visual and auditory processing to the reading of irregular words and pseudowords presented singly and in contiguity. Perception & Psychophysics, 69(8), 1344–1359. https://doi.org/10.3758/BF03192951

    Google Scholar 

  • Badian, N. A. (2005). Does a visual-orthographic deficit contribute to reading disability? Annals of Dyslexia, 55(1), 28–52. https://doi.org/10.1007/s11881-005-0003-x

    Google Scholar 

  • Bavelier, D., Deruelle, C., & Proksch, J. (2000). Positive and negative compatibility effects. Perception & Psychophysics, 62(1), 100–112. https://doi.org/10.3758/BF03212064

    Google Scholar 

  • Becker, C., Elliott, M. A., & Lachmann, T. (2005). Evidence for impaired visuoperceptual organisation in developmental dyslexics and its relation to temporal processes. Cognitive Neuropsychology, 22(5), 499–522. https://doi.org/10.1080/02643290442000086

    Google Scholar 

  • Bishop, D. V. M., Bishop, S. J., Bright, P., James, C., Delaney, T., & Tallal, P. (1999). Different origin of auditory and phonological processing problems in children with language impairment. Journal of Speech, Language, and Hearing Research, 42(1), 155. https://doi.org/10.1044/jslhr.4201.155

    Google Scholar 

  • Blomert, L. (2011). The neural signature of orthographic-phonological binding in successful and failing reading development. NeuroImage, 57(3), 695–703. https://doi.org/10.1016/j.neuroimage.2010.11.003

    Google Scholar 

  • Borst, G., Ahr, E., Roell, M., & Houdé, O. (2015). The cost of blocking the mirror generalization process in reading: Evidence for the role of inhibitory control in discriminating letters with lateral mirror-image counterparts. Psychonomic Bulletin & Review, 22(1), 228–234. https://doi.org/10.3758/s13423-014-0663-9

    Google Scholar 

  • Briand, K. A. (1994). Selective attention to global and local structure of objects: Alternative measures of nontarget processing. Perception & Psychophysics, 55(5), 562–574. https://doi.org/10.3758/BF03205313

    Google Scholar 

  • Burgund, E. D., & Abernathy, A. E. (2008). Letter-specific processing in children and adults matched for reading level. Acta Psychologica, 129(1), 66–71. https://doi.org/10.1016/j.actpsy.2008.04.007

    Google Scholar 

  • Burgund, E. D., Schlaggar, B. L., & Petersen,S. E. (2006). Development of letter-specific processing: The effect of reading ability. Acta Psychologica, 122(1), 99–108. https://doi.org/10.1016/j.actpsy.2005.11.005

    Google Scholar 

  • Bus, A. G., & van IJzendoorn, M. H. (1999). Phonological awareness and early reading: A meta-analysis of experimental training studies. Journal of Educational Psychology, 91(3), 403–414. https://doi.org/10.1037//0022-0663.91.3.403

    Google Scholar 

  • Calcus, A., Hoonhorst, I., Colin, C., Deltenre, P., & Kolinsky, R. (2018). The “rowdy classroom problem” in children with dyslexia: A review. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Carmo, J. C., Souza, C., Gonçalves, F., Pinho, S., Filipe, C. N., & Lachmann, T. (2017). Effects of categorical representation on visuospatial working memory in autism spectrum disorder. Journal of Clinical and Experimental Neuropsychology, 39(2), 131–141. https://doi.org/10.1080/13803395.2016.1207754

    Google Scholar 

  • Checkosky, S. F., & Whitlock, D. (1973). Effects of pattern goodness on recognition time in a memory search task. Journal of Experimental Psychology, 100(2), 341–348. https://doi.org/10.1037/h0035692

    Google Scholar 

  • Christmann, C. A., Berti, S., Steinbrink, C., & Lachmann, T. (2014). Differences in sensory processing of German vowels and physically matched non-speech sounds as revealed by the mismatch negativity (MMN) of the human event-related brain potential (ERP). Brain and Language, 136, 8–18. https://doi.org/10.1016/j.bandl.2014.07.004

    Google Scholar 

  • Christmann, C. A., Lachmann, T., & Steinbrink, C. (2015). Evidence for a general auditory processing deficit in developmental dyslexia from a discrimination paradigm using speech versus nonspeech sounds matched in complexity. Journal of Speech, Language, and Hearing Research, 58(1), 107–121. https://doi.org/10.1044/2014_JSLHR-L-14-0174

    Google Scholar 

  • Coltheart, M. (1978). Lexical access in simple reading tasks. In G. Underwood (Ed.), Strategies of information processing (pp. 151–216). London: Academic Press.

    Google Scholar 

  • Coltheart, M. (2007). Modeling reading: The dual-route approach. In M. J. Snowling & C. Hulme (Eds.), The science of reading (pp. 6–23). Malden, MA: Blackwell Pub.

    Google Scholar 

  • Cooper, L. A., & Shepard, R. N. (1973). The time required to prepare for a rotated stimulus. Memory & Cognition, 1(3), 246–250. https://doi.org/10.3758/BF03198104

    Google Scholar 

  • Corballis, M. C., & Beale, I. L. (1993). Orton revisited: Dyslexia, laterality, and left-right confusion. In D. M. Willows, R. S. Kruk, & E. Corcos (Eds.), Visual processes in reading and reading disabilities. Hillsdale, NJ: Lawrence Earlbaum Associates.

    Google Scholar 

  • Davelaar, E., Coltheart, M., Besner, D., & Jonasson, J. T. (1978). Phonological recoding and lexical access. Memory & Cognition, 6(4), 391–402. https://doi.org/10.3758/BF03197471

    Google Scholar 

  • Dehaene, S., & Cohen, L. (2007). Cultural recycling of cortical maps. Neuron, 56(2), 384–398. https://doi.org/10.1016/j.neuron.2007.10.004

    Google Scholar 

  • Dehaene, S., Pegado, F., Braga, L. W., Ventura, P., Nunes Filho, G., Jobert, A., …Cohen, L. (2010). How learning to read changes the cortical networks for vision and language. Science, 330(6009), 1359–1364. https://doi.org/10.1126/science.1194140

    Google Scholar 

  • Duñabeitia, J. A., Dimitropoulou, M., Estévez, A., & Carreiras, M. (2013). The influence of reading expertise in mirror-letter perception: Evidence from beginning and expert readers. Mind, Brain, and Education, 7(2). https://doi.org/10.1111/mbe.12017

    Google Scholar 

  • Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149. https://doi.org/10.3758/BF03203267

    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(4), 460–493. https://doi.org/10.3758/BF03210983

    Google Scholar 

  • Fawcett, A. J. (2002). Dyslexia, the cerebellum and phonological skill. In E. Witruk, A. D. Friederici, & T. Lachmann (Eds.), Basic functions of language, reading and reading disability (pp. 265–279). Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Fernandes, T., Vale, A. P., Martins, B., Morais, J., & Kolinsky, R. (2014). The deficit of letter processing in developmental dyslexia: Combining evidence from dyslexics, typical readers and illiterate adults. Developmental Science, 17(1), 125–141. https://doi.org/10.1111/desc.12102

    Google Scholar 

  • Fitts, P. M., & Posner, M. I. (1967). Human performance. Belmont, CA: Brooks/Cole.

    Google Scholar 

  • Foerde, K., & Poldrack, R. A. (2009). Procedural learning in humans. In L. R. Squire (Ed.), Encyclopedia of neuroscience (Vol. 7, pp. 1083–1091). London: Academic Elsevier.

    Google Scholar 

  • Frith, U. (1985). Beneath the surface of developmental dyslexia. In K. Patterson, J. C. Marshall, & M. Coltheart (Eds.), Surface dyslexia (pp. 301–330). London: Erlbaum Associates.

    Google Scholar 

  • Frith, U. (1986). A developmental framework for developmental dyslexia. Annals of Dyslexia, 36(1), 67–81. https://doi.org/10.1007/BF02648022

    Google Scholar 

  • Froyen, D., Bonte, M. L., van Atteveldt, N., & Blomert, L. (2009). The long road to automation: Neurocognitive development of letter-speech sound processing. Journal of Cognitive Neuroscience, 21(3), 567–580. https://doi.org/10.1162/jocn.2009.21061

    Google Scholar 

  • Froyen, D., van Atteveldt, N., Bonte, M., & Blomert, L. (2008). Cross-modal enhancement of the MMN to speech-sounds indicates early and automatic integration of letters and speech-sounds. Neuroscience Letters, 430(1), 23–28. https://doi.org/10.1016/j.neulet.2007.10.014

    Google Scholar 

  • Froyen, D., Willems, G., & Blomert, L. (2011). Evidence for a specific cross-modal association deficit in dyslexia: An electrophysiological study of letter-speech sound processing. Developmental Science, 14(4), 635–648. https://doi.org/10.1111/j.1467-7687.2010.01007.x

    Google Scholar 

  • Galaburda, A. M. (2002). Anatomy of the temporal processing deficit in developmental dyslexia. In E. Witruk, A. D. Friederici, & T. Lachmann (Eds.), Basic functions of language, reading and reading disability (pp. 241–250). Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Galaburda, A. M. (2018). The role of rodent models in dyslexia research: Understanding the brain, sex differences, lateralization, and behavior. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Garner, W. R., & Clement, D. E. (1963). Goodness of pattern and pattern uncertainty. Journal of Verbal Learning and Verbal Behavior, 2(5–6), 446–452. https://doi.org/10.1016/S0022-5371(63)80046-8

    Google Scholar 

  • Goswami, U., Wang, H.-L. S., Cruz, A., Fosker, T., Mead, N., & Huss, M. (2011). Language-universal sensory deficits in developmental dyslexia: English, Spanish, and Chinese. Journal of Cognitive Neuroscience, 23(2), 325–337. https://doi.org/10.1162/jocn.2010.21453

    Google Scholar 

  • Groth, K., Lachmann, T., Riecker, A., Muthmann, I., & Steinbrink, C. (2011). Developmental dyslexics show deficits in the processing of temporal auditory information in German vowel length discrimination. Reading and Writing, 24(3), 285–303. https://doi.org/10.1007/s11145-009-9213-7

    Google Scholar 

  • Hämäläinen, J. A., Salminen, H. K., & Leppänen, P. H. T. (2013). Basic auditory processing deficits in dyslexia: Systematic review of the behavioral and event-related potential/field evidence. Journal of Learning Disabilities, 46(5), 413–427. https://doi.org/10.1177/0022219411436213

    Google Scholar 

  • Han, S., Yund, E., & Woods, D. L. (2003). An ERP study of the global precedence effect: The role of spatial frequency. Clinical Neurophysiology, 114(10), 1850–1865. https://doi.org/10.1016/S1388-2457(03)00196-2

    Google Scholar 

  • Hermens, F., Lachmann, T., & van Leeuwen, C. (2015). Is it really search or just matching? The influence of goodness, number of stimuli and presentation sequence in same-different tasks. Psychological Research, 79(1), 42–63. https://doi.org/10.1007/s00426-013-0529-1

    Google Scholar 

  • Hogeboom, M., & van Leeuwen, C. (1997). Visual search strategy and perceptual organization covary with individual preference and structural complexity. Acta Psychologica, 95(2), 141–164. https://doi.org/10.1016/S0001-6918(96)00049-2

    Google Scholar 

  • Hübner, R. (1997). The effect of spatial frequency on global precedence and hemispheric differences. Perception & Psychophysics, 59(2), 187–201. https://doi.org/10.3758/BF03211888

    Google Scholar 

  • Hüttig, F., Lachmann, T., Reis, A., & Petersson, K. M. (2017). Distinguishing cause from effect – many deficits associated with developmental dyslexia may be a consequence of reduced and suboptimal reading experience. Language, Cognition and Neuroscience, 3(5), 1–18. https://doi.org/10.1080/23273798.2017.1348528

    Google Scholar 

  • Jaffe-Dax, S., Daikhin, L., & Ahissar, M. (2018). Dyslexia: A failure in attaining expert-level reading due to poor formation of auditory predictions. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • James, K. H., James, T. W., Jobard, G., Wong, A. C. N., & Gauthier, I. (2005). Letter processing in the visual system: Different activation patterns for single letters and strings. Cognitive, Affective, & Behavioral Neuroscience, 5(4), 452–466. https://doi.org/10.3758/CABN.5.4.452

    Google Scholar 

  • Jordan, T., & Martin, C. (1987). The importance of visual angle in word recognition: A “shrinking screen” modification for visual displays. Behavior Research Methods, Instruments, & Computers, 19(3), 307–310. https://doi.org/10.3758/BF03202566

    Google Scholar 

  • Kimchi, R. (2015). The perception of hierarchical structure. In J. Wagemans (Ed.), The Oxford handbook of perceptual organization.https://doi.org/10.1093/oxfordhb/9780199686858.013.025

  • Kinchla, R. A. (1974). Detecting target elements in multielement arrays: A confusability model. Perception & Psychophysics, 15(1), 149–158. https://doi.org/10.3758/BF03205843

    Google Scholar 

  • Klatte, M., Bergström, K., Steinbrink, C., Konerding, M., & Lachmann, T. (2018). Effects of the computer-based training program Lautarium on phonological awareness and reading and spelling abilities in German second-graders. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Klatte, M., Bergström, K., & Lachmann, T. (2013). Does noise affect learning? A short review of noise effects on cognitive performance in children. Frontiers in Developmental Psychology, 4, 578. https://doi.org/10.3389/fpsyg.2013.00578

    Google Scholar 

  • Klatte, M., Spilski, J., Mayerl, J., Möhler, U., Lachmann, T., & Bergström, K. (2016). Effects of aircraft noise on reading and quality of life in primary school children in Germany: Results from the NORAH study. Environment and Behavior, 49, 390–424.

    Google Scholar 

  • Klatte, M., Steinbrink, C., Bergström, K., & Lachmann, T. (2016). Lautarium: Ein computerbasiertes Trainingsprogramm für Grundschulkinder mit Lese-Rechtschreibschwierigkeiten. In M. Hasselhorn & W. Schneider (Eds.), Förderprogramme für Vor- und Grundschule: Tests und Trends. Jahrbuch der pädagogisch-psychologischen Diagnostik. Band 14 (pp. 115–141). Göttingen: Hogrefe Verlag.

    Google Scholar 

  • Klatte, M., Steinbrink, C., Prölß, A., Estner, B., Christmann, C., & Lachmann, T. (2014). Effekte des computerbasierten Trainingsprogramms “Lautarium” auf die phonologische Verarbeitung und die Lese-Rechtschreibleistungen bei Grundschulkindern. In G. Schulte-Körne (Ed.), Legasthenie und Dyskalkulie (pp. 127–144). Bochum: Winkler.

    Google Scholar 

  • Lachmann, T. (2002). Reading disability as a deficit in functional coordination and information integration. In E. Witruk, A. D. Friederici, & T. Lachmann (Eds.), Basic functions of language, reading and reading disability (pp. 165–198). Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Lachmann, T. (2008). Experimental approaches to specific disabilities in learning to read: The case of symmetry generalization in developmental dyslexia. In N. Srinivasan, A. K. Gupta, & J. Pandey (Eds.), Advances in cognitive science (pp. 321–342). New Delhi: Sage.

    Google Scholar 

  • Lachmann, T., Berti, S., Kujala, T., & Schröger, E. (2005). Diagnostic subgroups of developmental dyslexia have different deficits in neural processing of tones and phonemes. International Journal of Psychophysiology, 56(2), 105–120. https://doi.org/10.1016/j.ijpsycho.2004.11.005

    Google Scholar 

  • Lachmann, T., & Geissler, H.-G. (2002). Memory search instead of template matching? Acta Psychologica, 111(3), 283–307. https://doi.org/10.1016/S0001-6918(02)00055-0

    Google Scholar 

  • Lachmann, T., & Geyer, T. (2003). Letter reversals in developmental dyslexia: Is the case really closed? A critical review and conclusions. Psychology Science, 45, 53–75.

    Google Scholar 

  • Lachmann, T., Khera, G., Srinivasan, N., & van Leeuwen, C. (2012). Learning to read aligns visual analytical skills with grapheme-phoneme mapping: Evidence from illiterates. Frontiers in Evolutionary Neuroscience, 4, 8. https://doi.org/10.3389/fnevo.2012.00008

    Google Scholar 

  • Lachmann, T., Steinbrink, C., Schumacher, B., & van Leeuwen, C. (2009). Different letter-processing strategies in diagnostic subgroups of developmental dyslexia also occur in a transparent orthography: Reply to a commentary by Spinelli et al. Cognitive Neuropsychology, 26(8), 759–768. https://doi.org/10.1080/02643291003737065

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2004). Negative congruence effects in letter and pseudo-letter recognition: The role of similarity and response conflict. Cognitive Processing, 5(4), 239–248. https://doi.org/10.1007/s10339-004-0032-0

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2005). Task-invariant aspects of goodness in perceptual representation. The Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology, 58(7), 1295–1310. https://doi.org/10.1080/02724980443000629

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2007). Paradoxical enhancement of letter recognition in developmental dyslexia. Developmental Neuropsychology, 31(1), 61–77. https://doi.org/10.1080/87565640709336887

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2008a). Differentiation of holistic processing in the time course of letter recognition. Acta Psychologica, 129(1), 121–129. https://doi.org/10.1016/j.actpsy.2008.05.003

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2008b). Different letter-processing strategies in diagnostic subgroups of developmental dyslexia. Cognitive Neuropsychology, 25(5), 730–744. https://doi.org/10.1080/02643290802309514

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2010). Representational economy, not processing speed, determines preferred processing strategy of visual patterns. Acta Psychologica, 134(3), 290–298. https://doi.org/10.1016/j.actpsy.2010.03.001

    Google Scholar 

  • Lachmann, T., & van Leeuwen, C. (2014). Reading as functional coordination: Not recycling but a novel synthesis. Frontiers in Psychology, 5, 1046. https://doi.org/10.3389/fpsyg.2014.01046

    Google Scholar 

  • Lallier, M., Lizarazu, M., Molinaro, N., Bourguignon, M., Rios-Lopez, P., & Carreiras, M. (2018). From auditory rhythm processing to grapheme-to-phoneme conversion: How neural oscillations can shed light on developmental dyslexia. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Lamb, M. R., & Robertson, L. C. (1988). The processing of hierarchical stimuli: Effects of retinal locus, locational uncertainty, and stimulus identity. Perception & Psychophysics, 44(2), 172–181. https://doi.org/10.3758/BF03208710

    Google Scholar 

  • Lamb, M. R., & Robertson, L. C. (1990). The effect of visual angle on global and local reaction times depends on the set of visual angles presented. Perception & Psychophysics, 47(5), 489–496. https://doi.org/10.3758/BF03208182

    Google Scholar 

  • Legge, G. E., & Bigelow, C. A. (2011). Does print size matter for reading? A review of findings from vision science and typography. Journal of Vision, 11(5). https://doi.org/10.1167/11.5.8

    Google Scholar 

  • Legge, G. E., Pelli, D. G., Rubin, G. S., & Schleske, M. M. (1985). Psychophysics of reading: I. Normal vision. Vision Research, 25(2), 239–252. https://doi.org/10.1016/0042-6989(85)90117-8

    Google Scholar 

  • Liberman, A. M., Harris, K. S., Hoffman, H. S., & Griffith, B. C. (1957). The discrimination of speech sounds within and across phoneme boundaries. Journal of Experimental Psychology, 54(5), 358–368. https://doi.org/10.1037/h0044417

    Google Scholar 

  • Morton, J. (1969). Interaction of information in word recognition. Psychological Review, 76(2), 165–178. https://doi.org/10.1037/h0027366

    Google Scholar 

  • Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9(3), 353–383. https://doi.org/10.1016/0010-0285(77)90012-3

    Google Scholar 

  • Nicolson, R. I., & Fawcett, A. (2018). Procedural learning, dyslexia and delayed neural commitment. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Nicolson, R. I., & Fawcett, A. J. (2011). Dyslexia, dysgraphia, procedural learning and the cerebellum. Cortex, 47(1), 117–127. https://doi.org/10.1016/j.cortex.2009.08.016

    Google Scholar 

  • Nicolson, R. I., Fawcett, A. J., Brookes, R. L., & Needle, J. (2010). Procedural learning and dyslexia. Dyslexia, 16(3), 194–212. https://doi.org/10.1002/dys.408

    Google Scholar 

  • Orton, S. T. (1925). “Word blindness” in school children. Archives of Neurology and Psychiatry, 14(5), 581. https://doi.org/10.1001/archneurpsyc.1925.02200170002001

    Google Scholar 

  • Pegado, F., Nakamura, K., Cohen, L., & Dehaene, S. (2011). Breaking the symmetry: Mirror discrimination for single letters but not for pictures in the visual word form area. NeuroImage, 55(2), 742–749. https://doi.org/10.1016/j.neuroimage.2010.11.043

    Google Scholar 

  • Perea, M., Moret-Tatay, C., & Panadero, V. (2011). Suppression of mirror generalization for reversible letters: Evidence from masked priming. Journal of Memory and Language, 65(3), 237–246. https://doi.org/10.1016/j.jml.2011.04.005

    Google Scholar 

  • Pernet, C., Celsis, P., & Démonet, J.-F. (2005). Selective response to letter categorization within the left fusiform gyrus. NeuroImage, 28(3), 738–744. https://doi.org/10.1016/j.neuroimage.2005.06.046

    Google Scholar 

  • Piepers, D. W., & Robbins, R. A. (2012). A review and clarification of the terms “holistic,” “configural,” and “relational” in the face perception literature. Frontiers in Psychology, 3, 559. https://doi.org/10.3389/fpsyg.2012.00559

    Google Scholar 

  • Poirel, N., Pineau, A., Jobard, G., & Mellet, E. (2008). Seeing the forest before the trees depends on individual field-dependency characteristics. Experimental psychology, 55(5), 328–333. https://doi.org/10.1027/1618-3169.55.5.328

    Google Scholar 

  • Port, R. (2007). How are words stored in memory? Beyond phones and phonemes. New Ideas in Psychology, 25(2), 143–170. https://doi.org/10.1016/j.newideapsych.2007.02.001

    Google Scholar 

  • Proctor, R. W. (1986). Response bias, criteria settings, and the fast-same phenomenon: A reply to Ratcliff. Psychological Review, 93(4), 473–477.

    Google Scholar 

  • Ramus, F., Pidgeon, E., & Frith, U. (2003). The relationship between motor control and phonology in dyslexic children. Journal of Child Psychology and Psychiatry, 44(5), 712–722. https://doi.org/10.1111/1469-7610.00157

    Google Scholar 

  • Richardson, U., Thomson, J. M., Scott, S. K., & Goswami, U. (2004). Auditory processing skills and phonological representation in dyslexic children. Dyslexia, 10(3), 215–233. https://doi.org/10.1002/dys.276

    Google Scholar 

  • Roelfsema, P. R., & Houtkamp, R. (2011). Incremental grouping of image elements in vision. Attention, Perception & Psychophysics, 73(8), 2542–2572. https://doi.org/10.3758/s13414-011-0200-0

    Google Scholar 

  • Rusiak, P., Lachmann, T., & Jaskowski, P. (2003). Mental rotation of letters in dyslexics and implications for diagnosis and educational treatment. In B. Berglund & E. Borg (Eds.), Proceedings of the International Society for Psychophysics (pp. 263–268). Stockholm: The International Society for Psychophysics.

    Google Scholar 

  • Rusiak, P., Lachmann, T., Jaskowski, P., & van Leeuwen, C. (2007). Mental rotation of letters and shapes in developmental dyslexia. Perception, 36(4), 617–631. https://doi.org/10.1068/p5644

    Google Scholar 

  • Schmidt, K. D., & Ackermann, B. (1990). The structure of internal representations and reaction-time related macheing task performance. In H.-G. Geissler (Ed.), Psychophysical explorations of mental structures. Toronto: Hogrefe & Huber.

    Google Scholar 

  • Schmitt, A., van Leeuwen, C., & Lachmann, T. (2017). Connections are not enough for membership: Letter/non-letter distinction persists through phonological association learning. Acta Psychologica, 176, 85–91. https://doi.org/10.1016/j.actpsy.2017.03.015

    Google Scholar 

  • Schumacher, B. (2012). Deficient basic functions of reading in developmental dyslexia. Kaiserslautern: University of Kaiserslautern Press.

    Google Scholar 

  • Serniclaes, W., Ventura, P., Morais, J., & Kolinsky, R. (2005). Categorical perception of speech sounds in illiterate adults. Cognition, 98(2), B35–44. https://doi.org/10.1016/j.cognition.2005.03.002

    Google Scholar 

  • Seymour, P. K., & Evans, H. M. (1993). The visual (orthographic) processor and developmental dyslexia. In D. M. Willows, R. S. Kruk, & E. Corcos (Eds.), Visual processes in reading and reading disabilities (pp. 347–376). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171(3972), 701–703. https://doi.org/10.1126/science.171.3972.701

    Google Scholar 

  • Slaghuis, W. L., & Ryan, J. F. (1999). Spatio-temporal contrast sensitivity, coherent motion, and visible persistence in developmental dyslexia. Vision Research, 39(3), 651–668. https://doi.org/10.1016/S0042-6989(98)00151-5

    Google Scholar 

  • Snowling, M. J. (2001). From language to reading and dyslexia. Dyslexia, 7(1), 37–46. https://doi.org/10.1002/dys.185

    Google Scholar 

  • Stein, J. F. (2002). The neurobiology of reading difficulties. In E. Witruk, A. D. Friederici, & T. Lachmann (Eds.), Basic functions of language, reading and reading disability (pp. 199–212). Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Stein, J. F. (2018). The magnocellular theory of developmental dyslexia. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Stein, J. F., & Kapoula, Z. (2012). Visual aspects of dyslexia. Oxford: Oxford University Press.

    Google Scholar 

  • Stein, J. F., & Talcott, J. (1999). Impaired neuronal timing in developmental dyslexia: The magnocellular hypothesis. Dyslexia, 5(2), 59–77. https://doi.org/10.1002/(SICI)1099-0909(199906)5:2\textless59::AID-DYS134\textgreater3.0.CO;2-F

    Google Scholar 

  • Steinbrink, C., & Lachmann, T. (2014). Lese- Rechtschreibstörung. Grundlagen, Diagnostik, Intervention. Heidelberg: Springer.

    Google Scholar 

  • Steinbrink, C., Groth, K., Lachmann, T., & Riecker, A. (2012). Neural correlates of temporal auditory processing in developmental dyslexia during German vowel length discrimination: An fMRI study. Brain and Language, 121(1), 1–11. https://doi.org/10.1016/j.bandl.2011.12.003

    Google Scholar 

  • Steinbrink, C., Klatte, M., & Lachmann, T. (2014). Phonological, temporal and spectral processing in vowel length discrimination is impaired in German primary school children with developmental dyslexia. Research in Developmental Disabilities, 35(11), 3034–3045. https://doi.org/10.1016/j.ridd.2014.07.049

    Google Scholar 

  • Stoodley, C. J., & Stein, J. F. (2011). The cerebellum and dyslexia. Cortex, 47(1), 101–116. https://doi.org/10.1016/j.cortex.2009.10.005

    Google Scholar 

  • Talcott, J. B., Witton, C., Hebb, G. S., Stoodley, C. J., Westwood, E. A., France, S. J., …Stein, J. F. (2002). On the relationship between dynamic visual and auditory processing and literacy skills: Results from a large primary-school study. Dyslexia, 8(4), 204–225. https://doi.org/10.1002/dys.224

    Google Scholar 

  • Tallal, P. (1980). Auditory temporal perception, phonics, and reading disabilities in children. Brain and Language, 9(2), 182–198. https://doi.org/10.1016/0093-934X(80)90139-X

    Google Scholar 

  • Tallal, P., & Jenkins, W. (2018). The birth of neuroplasticity: A twenty year perspective. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

  • Tse, P. U. (1999). Volume completion. Cognitive Psychology, 39, 37–68.

    Google Scholar 

  • van Leeuwen, C., & Bakker, L. (1995). Stroop can occur without Garner interference: Strategic and mandatory influences in multidimensional stimuli. Perception & Psychophysics, 57(3), 379–392. https://doi.org/10.3758/BF03213062

    Google Scholar 

  • van Leeuwen, C., & Lachmann, T. (2004). Negative and positive congruence effects in letters and shapes. Perception & Psychophysics, 66(6), 908–925. https://doi.org/10.3758/BF03194984

    Google Scholar 

  • van Orden, G. C., Pennington, B. F., & Stone, G. O. (1990). Word identification in reading and the promise of subsymbolic psycholinguistics. Psychological Review, 97(4), 488–522.

    Google Scholar 

  • Vandermosten, M., Boets, B., Luts, H., Poelmans, H., Golestani, N., Wouters, J., & Ghesquière, P. (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), 10389–10394. https://doi.org/10.1073/pnas.0912858107

    Google Scholar 

  • Wagemans, J., Elder, J. H., Kubovy, M., Palmer, S. E., Peterson, M. A., Singh, M., & von der Heydt, R. (2012). A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization. Psychological Bulletin, 138(6), 1172–1217. https://doi.org/10.1037/a0029333

    Google Scholar 

  • Wesseling, P. B. C., Christmann, C. A., & Lachmann, T. (2017). Shared book reading promotes not only language development, but also grapheme awareness in German kindergarten children. Frontiers in Psychology, 8, 364. https://doi.org/10.3389/fpsyg.2017.00364

    Google Scholar 

  • Witton, C., & Talcott, J. B. (2018). Auditory processing in developmental dyslexia: Some considerations and challenges. In T. Lachmann & T. Weis (Eds.), Reading and dyslexia. Cham: Springer.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Lachmann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Cite this chapter

Lachmann, T. (2018). Reading and Dyslexia: The Functional Coordination Framework. In: Lachmann, T., Weis, T. (eds) Reading and Dyslexia. Literacy Studies, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-90805-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-90805-2_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90804-5

  • Online ISBN: 978-3-319-90805-2

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics