Alfonso, V. C., & Flanagan, D. P. (2018). Essentials of specific learning disability identification (2nd ed.). Wiley.
American Psychiatric Association [APA]. (2022). Neurodevelopmental disorders. In Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing. https://doi.org/10.1176/appi.books.9780890425787.x01_Neurodevelopmental_Disorders
Balu, R., Zhu, P., Doolittle, F., Schiller, E., Jenkins, J., & Gersten, R. (2015). Evaluation of response to intervention practices for elementary school reading (NCEE 2016–4000). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education. Retrieved from https://files.eric.ed.gov/fulltext/ED560820.pdf
Barouch, B., Weiss, Y., Katzir, T., & Bitan, T. (2022). Neural processing of morphology during reading in children. Neuroscience, 485, 37–52. https://doi.org/10.1016/j.neuroscience.2021.12.025
Cao, F., Bitan, T., Chou, T. L., Burman, D. D., & Booth, J. R. (2006). Deficient orthographic and phonological representations in children with dyslexia revealed by brain activation patterns. Journal of Child Psychology and Psychiatry, 47(10), 1041–1050. https://doi.org/10.1111/j.1469-7610.2006.01684.x
Cardon, L. R., Smith, S. D., Fulker, D. W., Kimberling, W. J., Pennington, B. F., & DeFries, J. C. (1994). Quantitative trait locus for reading disability on chromosome 6. Science, 266(5183), 276–279. https://doi.org/10.1126/science.7939663
Carter, B. T., Foster, B., Muncy, N. M., & Luke, S. G. (2019). Linguistic networks associated with lexical, semantic and syntactic predictability in reading: A fixation-related fMRI study. NeuroImage, 189, 224–240. https://doi.org/10.1016/j.neuroimage.2019.01.018
Centanni, T. M., Norton, E. S., Ozernov-Palchik, O., Park, A., Beach, S. D., Halverson, K., Gaab, N., & Gabrieli, J. D. E. (2019). Disrupted left fusiform response to print in beginning kindergartners is associated with subsequent reading. NeuroImage: Clinical, 22, 101715. https://doi.org/10.1016/j.nicl.2019.101715
Chen, L., Wassermann, D., Abrams, D. A., Kochalka, J., Gallardo-Diez, G., & Menon, V. (2019). The visual word form area (VWFA) is part of both language and attention circuitry. Nature Communications, 10(1), 5601. https://doi.org/10.1038/s41467-019-13634-z
Article PubMed PubMed Central Google Scholar
Chyl, K., Fraga-Gonzalez, G., Brem, S., & Jednorog, K. (2021). Brain dynamics of (a)typical reading development-a review of longitudinal studies. Nature Publishing Journals: Science of Learning, 6(1), 4. https://doi.org/10.1038/s41539-020-00081-5
Cichy, R. M., & Oliva, A. (2020). A M/EEG-fMRI fusion primer: Resolving human brain responses in space and time. Neuron, 107(5), 772–781. https://doi.org/10.1016/j.neuron.2020.07.001
Article PubMed PubMed Central Google Scholar
Coyne, M. D., Oldham, A., Dougherty, S. M., Leonard, K., Koriakin, T., Gage, N. A., Burns, D., & Gillis, M. (2018). Evaluating the effects of supplemental reading intervention within an MTSS or RTI reading reform initiative using a regression discontinuity design. Exceptional Children, 84(4), 350–367. https://doi.org/10.1177/0014402918772791
Deacon, D., Hewitt, S., Yang, C., & Nagata, M. (2000). Event-related potential indices of semantic priming using masked and unmasked words: Evidence that the N400 does not reflect a post-lexical process. Brain Research. Cognitive Brain Research, 9(2), 137–146. https://doi.org/10.1016/s0926-6410(99)00050-6
Debener, S., Minow, F., Emkes, R., Gandras, K., & de Vos, M. (2012). How about taking a low-cost, small, and wireless EEG for a walk? Psychophysiology, 49(11), 1617–1621. https://doi.org/10.1111/j.1469-8986.2012.01471.x
Debener, S., Ullsperger, M., Siegel, M., & Engel, A. K. (2006). Single-trial EEG-fMRI reveals the dynamics of cognitive function. Trends in Cognitive Sciences, 10(12), 558–563. https://doi.org/10.1016/j.tics.2006.09.010
Duffy, F. H., Denckla, M. B., Bartels, P. H., Sandini, G., & Kiessling, L. S. (1980). Dyslexia: Automated diagnosis by computerized classification of brain electrical activity. Annals of Neurology, 7(5), 421–428. https://doi.org/10.1002/ana.410070506
U.S. Office of Education [USOE]. (1977). Assistance to states for education of handicapped children: Procedures for evaluating specific learning disabilities. Federal Register, 42(250), 65082–65085.
Erbeli, F., Rice, M., & Paracchini, S. (2022). Insights into dyslexia genetics research from the last two decades. Brain Sciences, 12(1). https://doi.org/10.3390/brainsci12010027
Espy, K. A., Molfese, D. L., Molfese, V. J., & Modglin, A. (2004). Development of auditory event-related potentials in young children and relations to word-level reading abilities at age 8 years. Annals of Dyslexia, 54(1), 9–38. https://doi.org/10.1007/s11881-004-0002-3
Article PubMed PubMed Central Google Scholar
Fandakova, Y., & Hartley, C. A. (2020). Mechanisms of learning and plasticity in childhood and adolescence. Developmental Cognitive Neuroscience, 42, 100764. https://doi.org/10.1016/j.dcn.2020.100764
Article PubMed PubMed Central Google Scholar
Fletcher, J. M., & Vaughn, S. (2009). Response to intervention: Preventing and remediating academic aifficulties. Child Development Perspectives, 3(1), 30–37. https://doi.org/10.1111/j.1750-8606.2008.00072.x
Article PubMed PubMed Central Google Scholar
Fletcher, J. M., Foorman, B. R., Boudousquie, A., Barnes, M. A., Schatschneider, C., & Francis, D. J. (2002). Assessment of reading and learning disabilities a research-based intervention-oriented approach. Journal of School Psychology, 40(1), 23–63. https://doi.org/10.1016/S0022-4405(01)00093-0
Fletcher, J. M., Lyon, G. R., Fuchs, L. S., & Barnes, M. A. (2018). Learning disabilities: From identification to intervention (2nd ed.). Guilford Publications.
Friederici, A. D., Hahne, A., & Mecklinger, A. (1996). Temporal structure of syntactic parsing: Early and late event-related brain potential effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22(5), 1219–1248. https://doi.org/10.1037//0278-7393.22.5.1219
Gallego-Molina, N. J., Ortiz, A., Martínez-Murcia, F. J., Formoso, M. A., & Giménez, A. (2022). Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis. Knowledge-Based Systems, 240, 108098. https://doi.org/10.1016/j.knosys.2021.108098
Gao, F., Wang, R., Armada-da-Silva, P., Wang, M., Lu, H., Leong, C., & Yuan, Z. (2022). How the brain encodes morphological constraints during Chinese word reading: An EEG-fNIRS study. Cortex, 154, 184–196. https://doi.org/10.1016/j.cortex.2022.05.016
Gersten, R., Compton, D., Connor, C. M., Dimino, J., Santoro, L., Linan-Thompson, S., & Tilly, W. D. (2008). Assisting students struggling with reading: Response to Intervention and multi-tier intervention for reading in the primary grades. A practice guide. (NCEE 2009–4045). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education. Retrieved from http://ies.ed.gov/ncee/wwc/publications/practiceguides/
Gialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K. U., Czamara, D., Pourcain, B. S., Honbolygo, F., Toth, D., Csepe, V., Huguet, G., Chaix, Y., Iannuzzi, S., Demonet, J. F., Morris, A. P., Hulslander, J., Willcutt, E. G., & Schulte-Korne, G. (2021). Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Molecular Psychiatry, 26(7), 3004–3017. https://doi.org/10.1038/s41380-020-00898-x
Gomes, H., Ritter, W., Tartter, V. C., Vaughan, H. G., Jr., & Rosen, J. J. (1997). Lexical processing of visually and auditorily presented nouns and verbs: Evidence from reaction time and N400 priming data. Brain Research. Cognitive Brain Research, 6(2), 121–134. https://doi.org/10.1016/s0926-6410(97)00023-2
Greenough, W. T., Black, J. E., & Wallace, C. S. (1987). Experience and brain development. Child Development, 58(3), 539–559. https://www.ncbi.nlm.nih.gov/pubmed/3038480
Gresham, F. M., & Vellutino, F. R. (2010). What is the role of intelligence in the identification of specific learning disabilities? Issues and clarifications. Learning Disabilities Research and Practice, 25(4), 194–206. https://doi.org/10.1111/j.1540-5826.2010.00317.x
Haight, S. L., Patriarca, L. A., & Burns, M. K. (2001). A statewide analysis of the eligibility criteria and procedures for determining learning disabilities. Learning Disabilities: A Multidisciplinary Journal, 11(2), 39–46.
Hendricks, E. L., & Fuchs, D. (2020). Are individual differences in response to intervention influenced by the methods and measures used to define response? Implications for identifying children with learning disabilities. Journal of Learning Disabilities, 53(6), 428–443. https://doi.org/10.1177/0022219420920379
Hoeft, F., McCandliss, B. D., Black, J. M., Gantman, A., Zakerani, N., Hulme, C., Lyytinen, H., Whitfield-Gabrieli, S., Glover, G. H., Reiss, A. L., & Gabrieli, J. D. E. (2011). Neural systems predicting long-term outcome in dyslexia. Proceedings of the National Academy of Sciences, 108(1), 361–366. https://doi.org/10.1073/pnas.1008950108
Hoeft, F., Meyler, A., Hernandez, A., Juel, C., Taylor-Hill, H., Martindale, J. L., McMillon, G., Kolchugina, G., Black, J. M., Faizi, A., Deutsch, G. K., Siok, W. T., Reiss, A. L., Whitfield-Gabrieli, S., & Gabrieli, J. D. (2007). Functional and morphometric brain dissociation between dyslexia and reading ability. Proceedings of the National Academy of Sciences, 104(10), 4234–4239. https://doi.org/10.1073/pnas.0609399104
Holcomb, P. J. (1988). Automatic and attentional processing: An event-related brain potential analysis of semantic priming. Brain and Language, 35(1), 66–85. https://doi.org/10.1016/0093-934x(88)90101-0
Hornickel, J., & Kraus, N. (2013). Unstable representation of sound: A biological marker of dyslexia. Journal of Neuroscience, 33(8), 3500–3504. https://doi.org/10.1523/JNEUROSCI.4205-12.2013
Houde, O., Rossi, S., Lubin, A., & Joliot, M. (2010). Mapping numerical processing, reading, and executive functions in the developing brain: An fMRI meta-analysis of 52 studies including 842 children. Developmental Science, 13(6), 876–885. https://doi.org/10.1111/j.1467-7687.2009.00938.x
Knudsen, E. I. (2004). Sensitive periods in the development of the brain and behavior. Journal of Cognitive Neuroscience, 16(8), 1412–1425. https://doi.org/10.1162/0898929042304796
Kutas, M., & Hillyard, S. A. (1984). Event-related brain potentials (ERPs) elicited by novel stimuli during sentence processing. Annals of the New York Academy of Sciences, 425, 236–241. https://doi.org/10.1111/j.1749-6632.1984.tb23540.x
Lampis, V., Ventura, R., Di Segni, M., Marino, C., D’Amato, F. R., & Mascheretti, S. (2021). Animal models of developmental dyslexia: Where we are and what we are missing. Neuroscience and Biobehavioral Reviews, 131, 1180–1197. https://doi.org/10.1016/j.neubiorev.2021.10.022
Liebig, J., Friederici, A. D., Neef, N. E., & Consortium, L. (2020). Auditory brainstem measures and genotyping boost the prediction of literacy: A longitudinal study on early markers of dyslexia. Developmental Cognitive Neuroscience, 46, 100869. https://doi.org/10.1016/j.dcn.2020.100869
Article PubMed PubMed Central Google Scholar
Maki, K. E., & Adams, S. R. (2020). Specific learning disabilities identification: Do the identification methods and data matter? Learning Disability Quarterly, 43(2), 63–74. https://doi.org/10.1177/0731948719826296
Maurer, U., Brem, S., Kranz, F., Bucher, K., Benz, R., Halder, P., Steinhausen,
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