Uncoupled Brain and Behavior Changes in Lexical, Phonological, and Memory Processing in Struggling Readers

References

• Ackerman, P. T., Dykman, R. A., & Oglesby, D. M. (1994). Visual event-related potentials of dyslexic children to rhyming and nonrhyming stimuli. Journal of Clinical and Experimental Neuropsychology, 16(1), 138–154. doi:10.1080/01688639408402624
   PubMed Web of Science ®Google Scholar
• Adams, M. J. (1990). Beginning to read: Thinking and learning about print. Cambridge, MA: MIT Press.
   Google Scholar
• Andersson, A., Sanders, L. D., Coch, D., Karns, K. M., & Neville, H. J. (2018). Anterior and posterior ERP rhyming effects in 3- to 5-year-old children. Developmental Cognitive Neuroscience, 30, 178–190. doi:10.1016/j.dcn.2018.02.011
   PubMed Web of Science ®Google Scholar
• Ansari, D., & Coch, D. (2006). Bridges over troubled waters: Education and cognitive neuroscience. Trends in Cognitive Sciences, 10(4), 146–151. doi:10.1016/j.tics.2006.02.007
   PubMed Web of Science ®Google Scholar
• Araújo, S., Bramão, I., Faísca, L., Petersson, K. M., & Reis, A. (2012). Electrophysiological correlates of impaired reading in dyslexic pre-adolescent children. Brain and Cognition, 79(2), 79–88. doi:10.1016/j.bandc.2012.02.010
   PubMed Web of Science ®Google Scholar
• Baddeley, A. D., & Hitch, G. J. (1994). Developments in the concept of working memory. Neuropsychology, 8(4), 485–493. doi:10.1037/0894-4105.8.4.485
   Google Scholar
• Beneventi, H., Tonnessen, F. E., & Ersland, L. (2010). Executive working memory processes in dyslexia: Behavioral and fMRI evidence. Scandinavian Journal of Psychology, 51(3), 192–202. doi:10.1111/j.1467-9450.2010.00808.x
   PubMed Web of Science ®Google Scholar
• Bentin, S. (1987). Event-related potentials, semantic processes, and expectancy factors in word recognition. Brain and Language, 31(2), 308–327. doi:10.1016/0093-934X(87)90077-0
   PubMed Web of Science ®Google Scholar
• Bentin, S., McCarthy, G., & Wood, C. C. (1985). Event-related potentials, lexical decision and semantic priming. Electroencephalography and Clinical Neurophysiology, 60(4), 343–355. doi:10.1016/0013-4694(85)90008-2
   PubMedGoogle Scholar
• Bentin, S., Mouchetant-Rostaing, Y., Giard, M. H., Echallier, J. F., & Pernier, J. (1999). ERP manifestations of processing printed words at different psycholinguistic levels: Time course and scalp distribution. Journal of Cognitive Neuroscience, 11(3), 235–260. doi:10.1162/089892999563373
   PubMed Web of Science ®Google Scholar
• Bernal, J., Harmony, T., Rodríguez, M., Reyes, A., Yáñez, G., Fernández, T., … Marosi, E. (2000). Auditory event-related potentials in poor readers. International Journal of Psychophysiology, 36(1), 11–23. doi:10.1016/S0167-8760(99)00092-6
   PubMed Web of Science ®Google Scholar
• Brem, S., Bach, S., Kucian, K., Guttorm, T., Martin, E., Lyytinen, H., … Richardson, U. (2010). Brain sensitivity to print emerges when children learn letter-speech sound correspondences. Proceedings of the National Academy of Sciences, 107(17), 7939–7944. doi:10.1073/pnas.0904402107
   PubMed Web of Science ®Google Scholar
• 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(1/2), 15–42. doi:10.1023/A:1013864203452
   Google Scholar
• Caravolas, M., Lervåg, A., Defior, S., Málková, G. S., & Hulme, C. (2013). Different patterns, but equivalent predictors, of growth in reading in consistent and inconsistent orthographies. Psychological Science, 24(8), 1398–1407. doi:10.1177/0956797612473122
   PubMed Web of Science ®Google Scholar
• Chall, J. S. (1983). Stages of reading development. New York, NY: McGraw-Hill.
   Google Scholar
• Chall, J. S., & Jacobs, V. A. (2003). Poor children’s fourth-grade slump. American Educator, 27(1), 14–15, 44.
   Google Scholar
• Coch, D. (2015). The N400 and the fourth grade shift. Developmental Science, 18(2), 254–269. doi:10.1111/desc.12212
   PubMed Web of Science ®Google Scholar
• Coch, D., & Benoit, C. (2015). N400 event-related potential and standardized measures of reading in late elementary school children: Correlated or independent? Mind, Brain, and Education, 9(3), 145–153. doi:10.1111/mbe.12083
   PubMed Web of Science ®Google Scholar
• Coch, D., George, E., & Berger, N. (2008). The case of letter rhyming: An ERP study. Psychophysiology, 45(6), 949–956. doi:10.1111/j.1469-8986.2008.00701.x
   PubMed Web of Science ®Google Scholar
• Coch, D., Grossi, G., Skendzel, W., & Neville, H. (2005). ERP nonword rhyming effects in children and adults. Journal of Cognitive Neuroscience, 17(1), 168–182. doi:10.1162/0898929052880020
   PubMed Web of Science ®Google Scholar
• Coch, D., Hart, T., & Mitra, P. (2008). Three kinds of rhymes: An ERP study. Brain and Language, 104(3), 230–243. doi:10.1016/j.bandl.2007.06.003
   PubMed Web of Science ®Google Scholar
• Coch, D., & Holcomb, P. J. (2003). The N400 in beginning readers. Developmental Psychobiology, 43(2), 146–166. doi:10.1002/dev.10129
   PubMed Web of Science ®Google Scholar
• Coch, D., Maron, L., Wolf, M., & Holcomb, P. J. (2002). Word- and picture-processing in children: An event-related potential study. Developmental Neuropsychology, 22(1), 373–406. doi:10.1207/S15326942dn2201_3
   PubMed Web of Science ®Google Scholar
• Coch, D., & Meade, G. (2016). N1 and P2 to words and wordlike stimuli in late elementary school children and adults. Psychophysiology, 53(2), 115–128. doi:10.1111/psyp.12567
   PubMed Web of Science ®Google Scholar
• Coch, D., Mitra, P., & George, E. (2012). Behavioral and ERP evidence of word and pseudoword superiority effects in 7- and 11-year-olds. Brain Research, 1486, 68–81. doi:10.1016/j.brainres.2012.09.041
   PubMed Web of Science ®Google Scholar
• Coch, D., Mitra, P., George, E., & Berger, N. (2011). Letters rhyme: Electrophysiological evidence from children and adults. Developmental Neuropsychology, 36(3), 302–318. doi:10.1080/87565641.2010.549985
   PubMed Web of Science ®Google Scholar
• Cowan, N., Hogan, T. P., Alt, M., Green, S., Cabbage, K. L., Brinkley, S., & Gray, S. (2017). Short-term memory in childhood dyslexia: Deficient serial order in multiple modalities. Dyslexia, 23(3), 209–233. doi:10.1002/dys.1557
   PubMed Web of Science ®Google Scholar
• Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450–466. doi:10.1016/S0022-5371(80)90312-6
   Google Scholar
• Deacon, D., Dynowska, A., Ritter, W., & Grose-Fifer, J. (2004). Repetition and semantic priming of nonwords: Implications for theories of N400 and word recognition. Psychophysiology, 41(1), 60–74. doi:10.1111/1469-8986.00120
   PubMed Web of Science ®Google Scholar
• Demoulin, C., & Kolinsky, R. (2016). Does learning to read shape verbal working memory? Psychonomic Bulletin & Review, 23(3), 703–722. doi:10.3758/s13423-015-0956-7
   PubMed Web of Science ®Google Scholar
• Dykman, R. A., Ackerman, P., Loizou, P. C., & Casey, P. H. (2000). An event-related potential study of older children with an early history of failure to thrive. Developmental Neuropsychology, 18(2), 187–212. doi:10.1207/S15326942DN1802_3
   PubMed Web of Science ®Google Scholar
• Eberhard-Moscicka, A. K., Jost, L. B., Raith, M., & Maurer, U. (2015). Neurocognitive mechanisms of learning to read: Print tuning in beginning readers related to word-reading fluency and semantics but not phonology. Developmental Science, 18(1), 106–118. doi:10.1111/desc.12189
   PubMed Web of Science ®Google Scholar
• Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. doi:10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Fostick, L., & Revah, H. (2018). Dyslexia as a multi-deficit disorder: Working memory and auditory temporal processing. Acta psychologica, 183, 19–28. doi:10.1016/j.actpsy.2017.12.010
   PubMed Web of Science ®Google Scholar
• Fraga González, G., Žarić, G., Tijms, J., Bonte, M., Blomert, L., & van der Molen, M. W. (2014). Brain-potential analysis of visual word recognition in dyslexics and typically reading children. Frontiers in Human Neuroscience, 8(474), 1–14. doi:10.3389/fnhum.2014.00474
   PubMedGoogle Scholar
• George, E., & Coch, D. (2011). Music training and working memory: An ERP study. Neuropsychologia, 49(5), 1083–1094. doi:10.1016/j.neuropsychologia.2011.02.001
   PubMed Web of Science ®Google Scholar
• Grainger, J., & Holcomb, P. J. (2009). Watching the word go by: On the time-course of component processes in visual word recognition. Language and Linguistics Compass, 3(1), 128–156. doi:10.1111/j.1749-818x.2008.00121.x
   PubMedGoogle Scholar
• Grossi, G., Coch, D., Coffey-Corina, S., Holcomb, P. J., & Neville, H. J. (2001). Phonological processing in visual rhyming: A developmental ERP study. Journal of Cognitive Neuroscience, 13(5), 610–625. doi:10.1162/089892901750363190
   PubMed Web of Science ®Google Scholar
• Hansen, J. S. (1993). Event-Related Potential Software System (ERPSS). San Diego, CA: University of California at San Diego.
   Google Scholar
• Hasko, S., Groth, K., Bruder, J., Bartling, J., & Schulte-Körne, G. (2014). What does the brain of children with developmental dyslexia tell us about reading improvement? ERP evidence from an intervention study. Frontiers in Human Neuroscience, 8. (Article 441). doi:10.3389/fnhum.2014.00441.
   PubMed Web of Science ®Google Scholar
• Henderson, L. M., Baseler, H. A., Clarke, P. J., Watson, S., & Snowling, M. J. (2011). The N400 effect in children: Relationships with comprehension, vocabulary and decoding. Brain and Language, 117(2), 88–99. doi:10.1016/j.bandl.2010.12.003
   PubMed Web of Science ®Google Scholar
• Hernandez, D. J. (2011). Double jeopardy: How third-grade reading skills and poverty influence high school graduation. Baltimore, MD: A. E. C. Foundation.
   Google Scholar
• Holcomb, P. J., Ackerman, P. T., & Dykman, R. A. (1986). Auditory event-related potentials in attention and reading disabled boys. International Journal of Psychophysiology, 3(4), 263–273. doi:10.1016/0167-8760(86)90035-8
   PubMed Web of Science ®Google Scholar
• Holcomb, P. J., Grainger, J., & O’Rourke, T. (2002). An electrophysiological study of the effects of orthographic neighborhood size on printed word perception. Journal of Cognitive Neuroscience, 14(6), 938–950. doi:10.1162/089892902760191153
   PubMed Web of Science ®Google Scholar
• Holcomb, P. J., Reder, L., Misra, M., & Grainger, J. (2005). The effects of prime visibility on ERP measures of masked priming. Cognitive Brain Research, 24(1), 155–172. doi:10.1016/j.cogbrainres.2005.01.003
   PubMedGoogle Scholar
• Howard, L., & Polich, J. (1985). P300 latency and memory span development. Developmental Psychology, 21(2), 283–289. doi:10.1037/0012-1649.21.2.283
   Web of Science ®Google Scholar
• Isaacs, E. B., & Vargha-Khadem, F. (1989). Differential course of development of spatial and verbal memory span: A normative study. British Journal of Developmental Psychology, 7(4), 377–380. doi:10.1111/j.2044-835X.1989.tb00814.x
   Google Scholar
• Jucla, M., Nenert, R., Chaix, Y., & Demonet, J.-F. (2009/2010). Remediation effects on N170 and P300 in children with developmental dyslexia. Behavioural Neurology, 22(3–4), 121–129. doi:10.3233/BEN-2009-0257
   Web of Science ®Google Scholar
• Kemény, F., Banfi, C., Gangl, M., Perchtold, C. M., Papousek, I., Moll, K., & Landerl, K. (2018). Print-, sublexical and lexical processing in children with reading and/or spelling deficits: An ERP study. International Journal of Psychophysiology, 130, 53–62. doi:10.1016/j.ijpsycho.2018.05.009
   PubMed Web of Science ®Google Scholar
• Khalifian, N., Stites, M., & Laszlo, S. (2016). Relationships between event-related potentials and behavioral and scholastic measures of reading ability: A large-scale, cross-sectional study. Developmental Science, 19(5), 723–740. doi:10.1111/desc.12329
   PubMed Web of Science ®Google Scholar
• Khateb, A., Pegna, A. J., Landis, T., Michel, C. M., Brunet, D., Seghier, M. L., & Annoni, J.-M. (2007). Rhyme processing in the brain: An ERP mapping study. International Journal of Psychophysiology, 63(3), 240–250. doi:10.1016/j.ijpsycho.2006.11.001
   PubMed Web of Science ®Google Scholar
• Kujala, T., Karma, K., Ceponiene, R., Belitz, S., Turkkila, P., Tervaniemi, M., & Näätänen, R. (2001). Plastic neural changes and reading improvement caused by audiovisual training in reading-impaired children. Proceedings of the National Academy of Sciences, 98(18), 10509–10514. doi:10.1073/pnas.181589198
   PubMed Web of Science ®Google Scholar
• LaBerge, D., & Samuels, S. J. (1974). Toward a theory of automatic information processing in reading. Cognitive Psychology, 6(2), 293–323. doi:10.1016/0010-0285(74)90015-2
   Web of Science ®Google Scholar
• Laszlo, S., & Federmeier, K. (2011). The N400 as a snapshot of interactive processing: Evidence from regression analyses of orthographic neighbor and lexical associate effects. Psychophysiology, 48(2), 176–186. doi:10.1111/j.1469-8986.2010.01058.x
   PubMed Web of Science ®Google Scholar
• Lohvansuu, K., Hämäläinen, J. A., Ervast, L., Lyytinen, H., & Leppänen, P. H. T. (2018). Longitudinal interactions between brain and cognitive measures on reading development from 6 months to 14 years. Neuropsychologia, 108, 6–12. doi:10.1016/j.neuropsychologia.2017.11.018
   PubMed Web of Science ®Google Scholar
• Maurer, U., Brem, S., Bucher, K., Kranz, F., Benz, R., Steinhausen, H.-C., & Brandeis, D. (2007). Impaired tuning of a fast occipito-temporal response for print in dyslexic children learning to read. Brain, 130(12), 3200–3210. doi:10.1093/brain/awm193
   PubMed Web of Science ®Google Scholar
• Maurer, U., Brem, S., Kranz, F., Bucher, K., Benz, R., Halder, P., … Brandeis, D. (2006). Coarse neural tuning for print peaks when children learn to read. Neuroimage, 33(2), 749–758. doi:10.1016/j.neuroimage.2006.06.025
   PubMed Web of Science ®Google Scholar
• Maurer, U., Bucher, K., Brem, S., Benz, R., Kranz, F., Schulz, E., … Brandies, D. (2009). Neurophysiology in preschool improves behavioral prediction of reading ability throughout primary school. Biological Psychiatry, 66(4), 341–348. doi:10.1016/j.biopsych.2009.02.031
   PubMed Web of Science ®Google Scholar
• Maurer, U., Schulz, E., Brem, S., van der Mark, S., Bucher, K., Martin, E., & Brandeis, D. (2011). The development of print tuning in children with dyslexia: Evidence from longitudinal ERP data supported by fMRI. Neuroimage, 57(3), 714–722. doi:10.1016/j.neuroimage.2010.10.055
   PubMed Web of Science ®Google Scholar
• McArthur, G., Sheehan, Y., Badcock, N. A., Francis, D. A., Wang, H. C., Kohnen, S., … Castles, A. (2018). Phonics training for English-speaking poor readers. Cochrane Database of Systematic Reviews, 11. doi:10.1002/14651858.CD009115.pub3
   PubMedGoogle Scholar
• McCandliss, B. D., Cohen, L., & Dehaene, S. (2003). The visual word form area: Expertise for reading in the fusiform gyrus. Trends in Cognitive Sciences, 7(7), 293–299. doi:10.1016/S1364-6613(03)00134-7
   PubMed Web of Science ®Google Scholar
• McPherson, W. B., Ackerman, P. T., Holcomb, P. J., & Dykman, R. A. (1998). Event-related brain potentials elicited during phonological processing differentiate subgroups of reading disabled adolescents. Brain and Language, 62(2), 163–185. doi:10.1006/brln.1997.1893
   PubMed Web of Science ®Google Scholar
• Melby-Lervåg, M., Halaas, S.-A. H., & Hulme, C. (2012). Phonological skills and learning to read: A meta-analytic review. Psychological Bulletin, 138(2), 322–352. doi:10.1037/a0026744
   PubMed Web of Science ®Google Scholar
• Molfese, P. J., Fletcher, J. M., & Denton, C. A. (2013). Adequate versus inadequate response to reading intervention: An event-related potentials assessment. Developmental Neuropsychology, 38(8), 534–549. doi:10.1080/87565641.2013.825260
   PubMed Web of Science ®Google Scholar
• National Center for Education Statistics. (2019). NAEP report card: Reading - national achievement-level results - grade 4. https://www.nationsreportcard.gov/reading/nation/achievement/?grade=4
   Google Scholar
• Nevo, E., & Breznitz, Z. (2013). The development of working memory from kindergarten to first grade in children with different decoding skills. Journal of Experimental Child Psychology, 114(2), 217–228. doi:10.1016/j.jecp.2012.09.004
   PubMed Web of Science ®Google Scholar
• Nobre, A. C., & McCarthy, G. (1994). Language-related ERPs: Scalp distributions and modulation by word-type and semantic priming. Journal of Cognitive Neuroscience, 6(3), 233–255. doi:10.1162/jocn.1994.6.3.233
   PubMed Web of Science ®Google Scholar
• Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9(1), 97–113. doi:10.1016/0028-3932(71)90067-4
   PubMed Web of Science ®Google Scholar
• Peng, P., Barnes, M., Wang, C., Wang, W., Li, S., Swanson, H. L., … Tao, S. (2018). A meta-analysis on the relation between reading and working memory. Psychological Bulletin, 144(1), 48–76. doi:10.1037/bul0000124
   PubMed Web of Science ®Google Scholar
• Peng, P., & Goodrich, J. M. (2020). The cognitive element model of reading instruction. Reading Research Quarterly, 55(S1), S77–S88. doi:10.1002/rrq.336
   Google Scholar
• Perez-Abalo, M. C., Rodriguez, R., Bobes, M. A., Gutierrez, J., & Valdes-Sosa, M. (1994). Brain potentials and the availability of semantic and phonological codes over time. Neuroreport, 5(16), 2173–2177. doi:10.1097/00001756-199410270-00046
   PubMed Web of Science ®Google Scholar
• Perrin, F., Pernier, J., Bertrand, O., & Echallier, J. F. (1989). Spherical splines for scalp potential and current density mapping. Electroencephalography and Clinical Neurophysiology, 72(2), 184–187. doi:10.1016/0013-4694(89)90180-6
   PubMedGoogle Scholar
• Pleisch, G., Karipidis, I. I., Brem, A., Röthlisberger, M., Roth, A., Brandeis, D., … Brem, S. (2019). Simultaneous EEG and fMRI reveals stronger sensitivity to orthographic strings in the left occipito-temporal cortex of typical versus poor beginning readers. Developmental Cognitive Neuroscience, 40(100717), 1–13. doi:10.1016/j.dcn.2019.100717
   Google Scholar
• Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118(10), 2128–2148. doi:10.1016/j.clinph.2007.04.019
   PubMed Web of Science ®Google Scholar
• Polich, J., Howard, L., & Starr, A. (1983). P300 latency correlates with digit span. Psychophysiology, 20(6), 665–669. doi:10.1111/j.1469-8986.1983.tb00936.x
   PubMed Web of Science ®Google Scholar
• Polich, J., Howard, L., & Starr, A. (1985). Effects of age on the P300 component of the event-related potential from auditory stimuli: Peak definition, variation, and measurement. Journal of Gerontology, 40(6), 721–726. doi:10.1093/geronj/40.6.721
   PubMedGoogle Scholar
• Polich, J., Ladish, C., & Burns, T. (1990). Normal variation of P300 in children: Age, memory span, and head size. International Journal of Psychophysiology, 9(3), 237–248. doi:10.1016/0167-8760(90)90056-J
   PubMed Web of Science ®Google Scholar
• Riggins, T., & Scott, L. S. (2019). P300 development from infancy to adolescence. Psychophysiology, 57(e13346), 1–30. doi:10.1111/psyp.13346
   Google Scholar
• Rugg, M. D. (1984a). Event-related potentials and the phonological processing of words and non-words. Neuropsychologia, 22(4), 435–443. doi:10.1016/0028-3932(84)90038-1
   PubMed Web of Science ®Google Scholar
• Rugg, M. D. (1984b). Event-related potentials in phonological matching tasks. Brain and Language, 23(2), 225–240. doi:10.1016/0093-934X(84)90065-8
   PubMed Web of Science ®Google Scholar
• Rugg, M. D., Doyle, M. C., & Holdstock, J. S. (1994). Modulation of event-related brain potentials by word repetition: Effects of local context. Psychophysiology, 31(5), 447–459. doi:10.1111/j.1469-8986.1994.tb01048.x
   PubMed Web of Science ®Google Scholar
• Rugg, M. D., & Nagy, M. E. (1987). Lexical contribution to nonword-repetition effects: Evidence from event-related potentials. Memory & Cognition, 15(6), 473–481. doi:10.3758/BF03198381
   PubMed Web of Science ®Google Scholar
• Santos, A., Joly-Pottuz, B., Moreno, S., Habib, M., & Besson, M. (2007). Behavioural and event-related potentials evidence for pitch discrimination deficits in dyslexic children: Improvement after intensive phonic intervention. Neuropsychologia, 45(5), 1080–1090. doi:10.1016/j.neuropsychologia.2006.09.010
   PubMed Web of Science ®Google Scholar
• Savage, R., Lavers, N., & Pillay, V. (2007). Working memory and reading difficulties: What we know and what we don’t know about the relationship. Educational Psychology Reviews, 19(2), 185–221. doi:10.1007/s10648-006-9024-1
   Web of Science ®Google Scholar
• Scarborough, H. S. (2005). Developmental relationships between language and reading: Reconciling a beautiful hypothesis with some ugly facts. In H. W. Catts & A. G. Kamhi (Eds.), The connections between language and reading disabilities (pp. 3–24). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Silva-Pereyra, J., Fernández, T., Harmony, T., Bernal, J., Galán, L., Díaz-Comas, L., … Marosi, E. (2001). Delayed P300 during Sternberg and color discrimination tasks in poor readers. International Journal of Psychophysiology, 40(1), 17–32. doi:10.1016/S0167-8760(00)00123-9
   PubMed Web of Science ®Google Scholar
• Spironelli, C., Penolazzi, B., Vio, C., & Angrilli, A. (2010). Cortical reorganization in dyslexic children after phonological training: Evidence from early evoked potentials. Brain, 133(11), 2285–3395. doi:10.1093/brain/awq199
   Google Scholar
• Stevens, C., Harn, B., Chard, D., Currin, J., Parisi, D., & Neville, H. (2013). Examining the role of attention and instruction in at-risk kindergarteners: Electrophysiological measures of selective auditory attention before and after an early literacy intervention. Journal of Learning Disabilities, 46(1), 73–86. doi:10.1177/0022219411417877
   PubMed Web of Science ®Google Scholar
• Stites, M. C., & Laszlo, S. (2017). Time will tell: A longitudinal investigation of brain-behavior relationships during reading development. Psychophysiology, 54(6), 798–808. doi:10.1111/psyp.12844
   PubMed Web of Science ®Google Scholar
• Taroyan, N. A., Nicolson, R. I., & Fawcett, A. J. (2007). Behavioural and neurophysiological correlates of dyslexia in the continuous performance task. Clinical Neurophysiology, 118(4), 845–855. doi:10.1016/j.clinph.2006.11.273
   PubMed Web of Science ®Google Scholar
• Thomas, M. S. C., Ansari, D., & Knowland, V. C. P. (2019). Annual research review: Educational neuroscience: Progress and prospects. The Journal of Child Psychology and Psychiatry, 60(4), 477–492. doi:10.1111/jcpp.12973
   PubMed Web of Science ®Google Scholar
• Tilanus, E. A. T., Segers, E., & Verhoeven, L. (2016). Responsiveness to intervention in children with dyslexia. Dyslexia, 22(3), 214–232. doi:10.1002/dys.1533
   PubMed Web of Science ®Google Scholar
• Tong, X., Lo, J. C. M., McBride, C., Ho, C. S.-H., Waye, M. M. Y., Chung, K. K. H., … Chow, B. W.-Y. (2016). Coarse and fine N1 tuning for print in younger and older Chinese children: Orthography, phonology, or semantics driven? Neuropsychologia, 91, 109–119. doi:10.1016/j.neuropsychologia.2016.08.006
   PubMed Web of Science ®Google Scholar
• Torgesen, J. K., Wagner, R. K., & Rashotte, C. (2012). TOWRE-2: Test of word reading efficiency - second edition. Austin, TX: Pro-Ed.
   Google Scholar
• Treiman, R. (2000). The foundations of literacy. Current Directions in Psychological Science, 9(3), 89–92. doi:10.1111/1467-8721.00067
   Web of Science ®Google Scholar
• Wagner, R. K., Torgesen, J. K., & Rashotte, C. A. (1999). The comprehensive test of phonological processing. Austin, TX: Pro-Ed.
   Google Scholar
• Wagner, R. K., Torgesen, J. K., Rashotte, C. A., & Pearson, N. A. (2013). CTOPP-2: Comprehensive test of phonological processing - second edition. Austin, TX: Pro-Ed.
   Google Scholar
• Weber-Fox, C., Spencer, R., Cuadrado, E., & Smith, A. (2003). Development of neural processes mediating rhyme judgments: Phonological and orthographic interactions. Developmental Psychobiology, 43(2), 128–145. doi:10.1002/dev.10128
   PubMed Web of Science ®Google Scholar
• Wechsler, D. (2011). Wechsler abbreviated scale of intelligence (2nd ed.). San Antonio, TX: Harcourt Assessment.
   Google Scholar
• West, R. J., & Stanovich, K. E. (1979). The development of automatic word recognition skills. Journal of Reading Behavior, 11(3), 211–219. doi:10.1080/10862967909547325
   Google Scholar
• Woodcock, R. W., McGrew, K. S., & Mather, N. (2003). Woodcock-Johnson III NU tests of achievement. Rolling Meadows, IL: Riverside Publishing.
   Google Scholar
• Zeno, S. M., Ivens, S. H., Millard, R. T., & Duvvuri, R. (1995). The educator’s word frequency guide. Brewster, NY: Touchstone Applied Science Associates, Inc.
   Google Scholar
• Zhao, J., Kipp, K., Gaspar, C., Maurer, U., Weng, X., Mecklinger, A., & Li, S. (2014). Fine neural tuning for orthographic properties of words emerges early in children reading alphabetic script. Journal of Cognitive Neuroscience, 26(11), 2431–2442. doi:10.1162/jocn_a_00660
   PubMed Web of Science ®Google Scholar
• Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia, and skilled reading across languages: A psycholinguistic grain size theory. Psychological Bulletin, 131(1), 3–29. doi:10.1037/0033-2909.131.1.3
   PubMed Web of Science ®Google Scholar
• Zygouris, N. C., Avramidis, E., Karapetsas, A. V., & Stamoulis, G. A. (2018). Differences in dyslexic students before and after a remediation program: A clinical neuropsychological and event related potential study. Applied Neuropsychology: Child, 7(3), 235–244. doi:10.1080/21622965.2017.1297710
   PubMed Web of Science ®Google Scholar