Abstract
Developments in neuroscience and specifically in brain science research into reading disabilities, have led to the formation of a separate scientific discipline. In order to better understand the underlying causes of reading disabilities, current research uses a wide array of advanced technologies to investigate the various aspects of both the regular and deviant expressions of the reading process. Tremendous advances have been made in the diagnostic domain. However, understanding the remediation aspects of learning disabilities is still very limited and needs to be developed. There is ample scientific evidence of the human brain’s plasticity; its ability to change throughout our lifetime; to manipulate information; to learn new operations; to create new cells and slow down their mortality; and to expand and create neural networks. Such evidence has opened up new insight into the theoretical and applied studies of intervention and remediation of reading skills. It is conceivable that with the development of an adequate intervention program, the brain structure and activation patterns of people with learning disabilities may change and improve reading capabilities. In the current chapter, the data from a training protocol using the Reading Acceleration Program (RAP) is being presented as a tool for brain training and reading enhancement.
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References
Altman, J., & Das, G. D. (1965). Post-natal origin of microneurones in the rat brain. Nature, 207(5000), 953–956.
Berninger, V. W., Abbott, R. D., Thomson, J. B., & Raskind, W. H. (2001). Language phenotype for reading and writing disability: A family approach. Scientific Studies of Reading, 5, 59–106.
Berninger, V. W., Lee, Y., Abbot, R. D., & Breznitz, Z. (2011). Teaching children with dyslexia to spell in a reading-writers’ workshop. Annals of Dyslexia. doi:10.1007/s11881-011-0054-0.
Boyke, J., Driemeyer, J., Gaser, C., Büchel, C., & May, A. (2008). Training-induced brain structure changes in the elderly. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 28, 7031–7035.
Brambati, S. M., Termine, C., Ruffino, M., Stella, G., Fazio, F., Cappa, S. F., et al. (2004). Regional reductions of gray matter volume in familial dyslexia. Neurology, 63, 742–745.
Brande, S. (2011). Can we train dyslexic readers to read better? PhD thesis, The University of Haifa, Haifa.
Breznitz, Z. (1988). Reading performance of first graders: The effects of pictorial distracters. The Journal of Educational Research, 82, 47–52.
Breznitz, Z. (1997a). Effects of accelerated reading rate on memory for text among dyslexic readers. Journal of Educational Psychology, 89, 289–297.
Breznitz, Z. (1997b). Enhancing the reading of dyslexic children by reading acceleration and auditory masking. Journal of Educational Psychology, 89, 103–113.
Breznitz, Z. (2006). Reading fluency: Synchronization of processes. Mahwah: Routledge.
Breznitz, Z. (2008). The origin of dyslexia: The asynchrony phenomenon. Thousand Oaks: Sage Publications.
Breznitz, Z., & Amiel, M. (2010). Enhancement of reading skills with RAP among children grades 3–4. Report to the Edmond J. Safra Philanthropic Foundation, University of Haifa, Israel.
Breznitz, Z., & Berman, L. (2003). The underlying factors of word reading rate. Educational Psychology, 15, 247–265.
Breznitz, Z., & Karni, A. (2009). Enhancing the reading skills of dyslexics using reading acceleration and cognitive training behavioral electrophysiological and fMRI measures. Final Report for the Zeit Stiftung, University of Haifa, Israel.
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.
Breznitz, Z., & Nevat, M. (2004). Reading acceleration training program. Haifa: University of Haifa.
Breznitz, Z., & Share, D. L. (1992). The effect of accelerated reading rate on memory for text. Journal of Educational Psychology, 84, 193–200.
British Psychological Society. (1999). Dyslexia, literacy and psychological assessment. Leicester: British Psychological Society.
Brown, W. E., Eliez, S., Menon, V., Rumsey, J. M., White, C. D., & Reiss, A. L. (2001). Preliminary evidence of widespread morphological variations of the brain in dyslexia. Neurology, 56, 781–783.
Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004). Changes in grey matter induced by training. Nature, 427, 311–312.
Cabeza, R., & Nyberg, L. (2000). Imaging cognition II: An empirical review of 275 PET and fMRI studies. Journal of Cognitive Neuroscience, 12(1), 1–47.
Cameron, H. A., McEwen, B. S., & Gould, E. (1995). Regulation of adult neurogenesis by excitatory input and NMDA receptor activation in the dentate gyrus. The Journal of Neuroscience, 15(6), 4687–4692.
Cameron, H. A., Woolley, C. S., McEwen, B. S., & Gould, E. (1993). Differentiation of newly born neurons and glia in the dentate gyrus of the adult rat. Neuroscience, 56, 337–344.
Cope, M., & Delpy, D. T. (1988). System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Medical & Biological Engineering & Computing, 26, 289–294.
de Jong, P. F. (1998). Working memory deficits of reading disabled children. Journal of Experimental Child Psychology, 70, 75–96.
Draganski, B., & May, A. (2008). Training-induced structural changes in the adult human brain. Behavioural Brain Research, 192, 137–142.
Draganski, B., Gaser, C., Kempermann, G., Kuhn, H. G., Winkler, J., Büchel, C., et al. (2006). Temporal and spatial dynamics of brain structure changes during extensive learning. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 26, 6314–6317.
Driemeyer, J., Boyke, J., Gaser, C., Buchel, C., & May, A. (2008). Changes in gray matter induced by learning – Revisited. PLoS One, 3, 2669.
Eckert, M. A. (2004). Neuroanatomical markers for dyslexia: A review of dyslexia structural imaging studies. The Neuroscientist: A Review Journal Bringing Neurobiology, Neurology and Psychiatry, 10, 362–371.
Eckert, M. A., Leonard, C. M., Wilke, M., Eckert, M., Richards, T., Richards, A., et al. (2005). Anatomical signatures of dyslexia in children: Unique information from manual and voxel based morphometry brain measures. Cortex, 41(3), 304–315.
Eden, G. F., Jones, K. M., Cappell, K., Gareau, L., Wood, F. B., Zeffiro, T. A., et al. (2004). Neural changes following remediation in adult developmental dyslexia. Neuron, 44, 411–422.
Epp, J. R., Spritzer, M. D., & Galea, L. A. M. (2007). Hippocampus-dependent learning promotes survival of new neurons in the dentate gyrus at a specific time during cell maturation. Neuroscience, 149, 273–285.
Eriksson, P. S., Perfilieva, E., Björk-Eriksson, T., Alborn, A. M., Nordborg, C., Peterson, D. A., et al. (1998). Neurogenesis in the adult human hippocampus. Nature Medicine, 4, 1313–1317.
Fischer, K. W. (2008). Dynamic cycles of cognitive and brain development: Measuring growth in mind, brain, and education. In A. M. Battro, K. W. Fischer, & P. Lena (Eds.), The educated brain: Essays in neuroeducation (pp. 127–150). New York: Cambridge University Press.
Fischer, K. W. (2009). Mind, brain, and education: Building a scientific groundwork for learning and teaching. Mind, Brain, and Education, 3, 3–16.
Galván, A. (2010). Neural plasticity of development and learning. Human Brain Mapping, 31, 879–890.
Goswami, U. (2006). Neuroscience and education: From research to practice? Nature Reviews Neuroscience, 7, 406–411.
Gould, E., Beylin, A., Tanapat, P., Reeves, A., & Shors, T. J. (1999a). Learning enhances adult neurogenesis in the hippocampal formation. Nature Neuroscience, 2, 260–265.
Gould, E., Tanapat, P., Hastings, N., & Shors, T. (1999b). Neurogenesis in adulthood: A possible role in learning. Trends in Cognitive Sciences, 3, 186–192.
Gould, E., McEwen, B. S., Tanapat, P., Galea, L. A. M., & Fuchs E. (1997). Neurogenesis in the dentate gyrus of the adult tree shrew is regulated by psychosocial stress and NMDA receptor activation. Journal of Neuroscience, 17, 2492–2498.
Gould, E., Tanapat, P., McEwen, B. S., Flugge, G., & Fuchs, E. (1998). Proliferation of granule cell precursors in the dentate gyrus of adult monkeys is diminished by stress. Proceedings of the National Academy of Science USA, 95, 3168–3171.
Gould, E., Vail, N., Wagers, M., & Gross, C. G. (2001). Adult-generated hippocampal and neocortical neurons in macaques have a transient existence. Proceedings of the National Academy of Science USA, 98(19), 10910–10917.
Gratton, G., Corballis, P. M., Cho, E., Fabiani, M., & Hood, D. C. (1995). Shades of gray matter: Noninvasive optical images of human brain responses during visual stimulation. Psychophysiology, 32, 505–509.
Gross, C. G. (2000). Neurogenesis in the adult brain: Death of a dogma. Nature Reviews Neuroscience, 1, 67–73.
Hansen, P. C., Kringelbach, M. L., & Salmelin, R. (2010). MEG: An introduction to methods. New York: Oxford University Press.
Heekeren, H. R., Obrig, H., Wenzel, R., Eberle, K., Ruben, J., Villringer, K., et al. (1997). Cerebral haemoglobin oxygenation during sustained visual stimulation – A near-infrared spectroscopy study. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 352, 743–750.
Hoeft, F., Meyler, A., Hernandez, A., Juel, C., Taylor-Hill, H., Martindale, J. L., et al. (2007). Functional and morphometric brain dissociation between dyslexia and reading ability. Proceedings of the National Academy of Sciences of the United States of America, 104, 4234–4239.
Hofmann, M. J., Herrmann, M. J., Dan, I., Obrig, H., Conrad, M., Kuchinke, L., et al. (2008). Differential activation of frontal and parietal regions during visual word recognition: An optical topography study. NeuroImage, 40, 1340–1349.
Horowitz-Kraus, T., & Breznitz, Z. (2009). Can the error detection mechanism benefit from training the working memory? A comparison between dyslexics and controls – An ERP study. PLoS One, 4, e7141.
Hoshi, Y., & Tamura, M. (1993). Dynamic multichannel near-infrared optical imaging of human brain activity. Journal of Applied Physiology, 75, 1842–1846.
Huettel, S. A., Song, A. W., & McCarthy, G. (2004). Functional magnetic resonance imaging. Sunderland: Sinauer Associates.
Ilg, R., Wohlschläger, A. M., Gaser, C., Liebau, Y., Dauner, R., Wöller, A., et al. (2008). Gray matter increase induced by practice correlates with task-specific activation: A combined functional and morphometric magnetic resonance imaging study. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 28, 4210–4215.
Izzetoglu, K., Bunce, S., Onaral, B., Pourrezaei, K., & Chance, B. (2004). Functional optical brain imaging using near-infrared during cognitive tasks. International Journal of Human Computer Interaction, 17(2), 211–227.
Izzetoglu, M., Izzetoglu, K., Bunce, S., Ayaz, H., Devaraj, A., Onaral, B., et al. (2005a). Functional near-infrared neuroimaging. IEEE Transactions on Neural Systems and Rehabilitation Engineering: A Publication of the IEEE Engineering in Medicine and Biology Society, 13, 153–159.
Izzetoglu, M., Nioka, S., Chance, B., & Onaral, B. (2005b). Single trial hemodynamic response estimation in a block anagram solution study using fNIR spectroscopy. Proceedings of ICASSP, 5, 633–636.
Izzetoglu, M., Bunce, S., Izzetoglu, K., Onaral, B., & Pourrezaei, K. (2007). Functional brain imaging using near-infrared technology for cognitive activity assessment [Special Issue on the Role of Optical Imaging in Augmented Cognition]. IEEE Engineering in Medicine and Biology Magazine, 26, 38–46.
Jessberger, S., & Gage, F. H. (2008). Stem cell-associated structural and functional plasticity in the aging hippocampus. Psychology and Aging, 23, 684.
Jobsis, F. (1977). Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science, 198, 1264–1267.
Karni, A., & Bertini, G. (1997). Learning perceptual skills: Behavioral probes into adult cortical plasticity. Current Opinions in Neurobiology, 7, 530–535.
Karni, A., & Sagi, D. (1993). The time course of learning a visual skill. Nature, 365, 250–252.
Karni, A., Morocz, I., Bitan, T., Shaul, S., Kushnir, T., & Breznitz, Z. (2005). An fMRI study of the differential effects of word presentation rates (reading acceleration) on dyslexic readers’ brain activity patterns. Journal of Neurolinguistics, 18, 197–219.
Kearns, D. (2010). Describing the cognitive characteristics of reading disability subtypes. Doctoral dissertation, Vanderbilt University, Nashville, TN, p. 71.
Keller, T. A., & Just, M. A. (2009). Altering cortical connectivity: Remediation-induced changes in the white matter of poor readers. Neuron, 64, 624–631.
Kempermann, G., & Gage, F. H. (1999). Experience-dependent regulation of adult hippocampal neurogenesis: effects of long-term stimulation and stimulus withdrawal. Hippocampus, 9, 321–332.
Korinth, S. P., Sommer, W., & Breznitz, Z. (2011). Towards an ERP-driven diagnostic approach for reading impairments. Developmental Neuropsychology, 36(7), 944–948.
Kornack, D. R., & Rakic, P. (1999). Continuation of neurogenesis in the hippocampus of the adult macaque monkey. Proceedings of the National Academy of Science USA, 96(10), 5768–5773.
Krafnick, A. J., Flowers, D. L., Napoliello, E. M., & Eden, G. F. (2011). Gray matter volume changes following reading intervention in dyslexic children. NeuroImage, 57(3), 733–741.
Kujala, T., Karma, K., Ceponiene, R., Belitz, S., Turkkila, P., Tervaniemi, M., et al. (2001). Plastic neural changes and reading improvement caused by audiovisual training in reading-impaired children. Proceedings of the National Academy of Sciences of the United States of America, 98, 10509–10510.
Leather, C. V., & Henry, L. A. (1994). Working memory span and phonological awareness tasks as predictors of early reading ability. Journal of Experimental Child Psychology, 58, 88–111.
Lemasson, M., Saghatelyan, A., Olivo-Maring, J. C., & Lledo, P. M. (2008). Neonatal and adult neurogenesis provide two distinct populations of newborn neurons to the mouse olfactory bulb. The Journal of Neuroscience, 25(29), 6816–6825.
Luck, S. J. (2005). An introduction to event-related potentials and their neural origins. In An introduction to the event-related potential technique. Cambridge, MA: The MIT Press.
Lyon, G. R., Shaywitz, S. E., & Shaywitz, B. A. (2003). A definition of dyslexia. Annals of Dyslexia, 53, 1–14.
Maguire, E. A., Woollett, K., & Spiers, H. J. (2006). London taxi drivers and bus drivers: A structural MRI and neuropsychological analysis. Hippocampus, 16, 1091–1101.
Maki, A., Yamashita, Y., Ito, Y., Watanabe, E., Mayanagi, Y., & Koizumi, H. (1995). Spatial and temporal analysis of human motor activity using noninvasive NIR topography. Medical Physics, 22, 1997–2005.
Ninkovic, J., Mori, T., & Götz, M. (2007). Distinct modes of neuron addition in adult mouse neurogenesis. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 27, 10906–10911.
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.
OECD. (2002). Understanding the brain: Towards a new learning science. Canadian Family Physician, 23, 110.
Papanicolaou, A. C., Simos, P. G., Breier, J. I., Fletcher, J. M., Foorman, B. R., Francis, D., et al. (2003). Brain mechanisms for reading in children with and without dyslexia: A review of studies of normal development and plasticity. Developmental Neuropsychology, 24, 593–612.
Penolazzi, B., Spironelli, C., Vio, C., & Angrilli, A. (2010). Brain plasticity in developmental dyslexia after phonological treatment: A beta EEG band study. Behavioural Brain Research, 209, 179–182.
Phelps, M. E. (2004). PET: Molecular imaging and its biological applications. New York: Springer.
Plaza, M., & Breznitz, Z. (2007). The enhancement of reading fluency among dyslexics: Evidence of the reading acceleration manipulation in different language. Presentation at the Conference of the Society for the Scientific Study of Reading, Prague, Czech Republic.
Poldrack, R. A. (2000). Imaging brain plasticity: Conceptual and methodological issues – A theoretical review. NeuroImage, 12, 1–13.
Posner, M. I., & Rothbart, M. K. (2005). Influencing brain networks: Implications for education. Trends in Cognitive Sciences, 9, 99–103.
Pugh, K. R., Mencl, W. E., Jenner, A. R., Katz, L., Frost, S. J., Lee, J. R., et al. (2001). Neurobiological studies of reading and reading disability. Journal of Communication Disorders, 34, 479–492.
Quaresima, V., Ferrari, M., van der Sluijs, M. C. P., Menssen, J., & Colier, W. N. J. M. (2002). Lateral frontal cortex oxygenation changes during translation and language switching revealed by non-invasive near-infrared multi-point measurements. Brain Research Bulletin, 59, 235–243.
Rolfe, P. (2000). In vivo near-infrared spectroscopy. Annual Review of Biomedical Engineering, 2, 715–754.
Saghatelyan, A., Olivo-Marin, J. C., Lledo, P. M. (2008). Neonatal and adult neurogenesis provide two distinct populations of newborn neurons to the mouse olfactory bulb. The Journal of Neuroscience, 25(29), 6816–6825.
Sakatani, K., Lichty, W., Xie, Y., Li, S., & Zuo, H. (1999). Effects of aging on language-activated cerebral blood oxygenation changes of the left prefrontal cortex: Near infrared spectroscopy study. Journal of Stroke and Cerebrovascular Diseases, 8, 398–403.
Sato, H., Takeuchi, T., & Sakai, K. L. (1999). Temporal cortex activation during speech recognition: An optical topography study. Cognition, 73, B55–B66.
Scholz, J., Klein, M. C., Behrens, T. E. J., & Johansen-Berg, H. (2009). Training induces changes in white-matter architecture. Nature Neuroscience, 12, 1370–1371.
Schulz, E., Maurer, U., van der Mark, S., Bucher, K., Brem, S., Martin, E., & Brandeis, D. (2008). Impaired semantic processing during sentence reading in children with dyslexia: Combined fMRI and ERP evidence. NeuroImage, 41(1), 153–168.
Sela, I., Horowitz-Kraus, T., Izzetoglu, M., Shewokis, P., Izzetoglu, K., Onaral, B., et al. (2011). Brain activity of young and adult Hebrew speakers during lexical decision task: fNIR application to language. Lecture Notes in Computer Science, 6780, 231–239.
Shany, M., & Abu Ahmad, H (2010). The effect of RAP training on reading enhancement in the Arabic language. Report to Israeli Minister of Education, University of Haifa, Israel
Shaul, S. (2008). Event-related potentials (ERPS) in the study of dyslexia: A review. In Z. Breznitz (Ed.), Brain research in language (pp. 51–92). New York: Springer.
Shaywitz, S. E., & Shaywitz, B. A. (2008). Paying attention to reading: The neurobiology of reading and dyslexia. Development and Psychopathology, 20, 1329–1349.
Shaywitz, B. S., Shaywitz, S. E., Pugh, K. R., Mencl, W. E., Fulbright, R. K., Skudlarski, P., et al. (2002). Disruption of posterior brain systems for reading in children with developmental dyslexia. Biological Psychiatry, 52, 101–110.
Shaywitz, B. A., Shaywitz, S. E., Blachman, B. A., Pugh, K. R., Fulbright, R. K., Skudlarski, P., et al. (2004). Development of left occipitotemporal systems for skilled reading in children after a phonologically-based intervention. Biological Psychiatry, 55, 926–933.
Shiran, A., & Breznitz, Z. (2011). The effect of cognitive training on recall range and speed of information processing in the working memory of dyslexic and skilled readers. Journal of Neurolinguistics, 24(5), 524–537.
Simos, P., Fletcher, J. M., Bergman, E., Breier, J. I., Foorman, B. R., Castillo, E. M., et al. (2002). Dyslexia-specific brain activation profile becomes normal following successful remedial training. Neurology, 58, 1203–1213.
Simos, P. G., Fletcher, J. M., Sarkari, S., Billingsley-Marshall, R., Denton, C. A., & Papanicolaou, A. C. (2007a). Altering the brain circuits for reading through intervention: A magnetic source imaging study. Neuropsychology, 21, 485–496.
Simos, P. G., Fletcher, J. M., Sarkari, S., Billingsley-Marshall, R., Denton, C. A., & Papanicolaou, A. C. (2007b). Intensive instruction affects brain magnetic activity associated with oral word reading in children with persistent reading disabilities. Journal of Learning Disabilities, 40, 37.
Smith-Spark, J., & Fisk, J. (2007). Working memory functioning in developmental dyslexia. Memory & Cognition, 15, 34–56.
Snellings, P., van Der Leij, A., de Jong, P. F., & Blok, H. (2009). Enhancing the reading fluency and comprehension of children with reading disabilities in an orthographically transparent language. Journal of Learning Disabilities, 42, 291–305.
Spironelli, C., Penolazzi, B., Vio, C., & Angrilli, A. (2010). Cortical reorganization in dyslexic children after phonological training: Evidence from early evoked potentials. Brain: A Journal of Neurology, 133(11), 3385–3395.
Stiles, J. (2000). Neural plasticity and cognitive development. Developmental Neuropsychology, 18, 237–272.
Strangman, G., Boas, D. A., & Sutton, J. P. (2002). Non-invasive neuroimaging using near-infrared light. Biological Psychiatry, 52, 679–693.
Suto, T., Ito, M., Uehara, T., Ida, I., Fukuda, M., & Mikuni, M. (2002). Temporal characteristics of cerebral blood volume change in motor and somatosensory cortices revealed by multichannel near infrared spectroscopy. International Congress Series, 1232, 383–388.
Swanson, H. (1993). Working memory in learning disability subgroups. Journal of Experimental Child Psychology, 56, 87–114.
Temple, E., Deutsch, G. K., Poldrack, R. A., Miller, S. L., Tallal, P., Merzenich, M. M., et al. (2003). Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 100, 2860–2865.
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., et al. (2002). Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex. Nature, 420, 788–794.
Tucker, D. M. (1993). Spatial sampling of head electrical fields: The geodesic sensor net. Electroencephalography and Clinical Neurophysiology, 87, 154–163.
US Report. (2005). Teaching reading: Report and recommendations – National inquiry into the teaching of literacy. Washington, DC: US Government.
Varma, S., McCandliss, B. D., & Schwartz, D. L. (2008). Scientific and pragmatic challenges for bridging education and neuroscience. Educational Researcher, 37, 140–152.
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, and Allied Disciplines, 45(1), 2–40.
Vidyasagar, T. R., & Pammer, K. (2010). Dyslexia: A deficit in visuo-spatial attention, not in phonological processing. Trends in Cognitive Sciences, 14, 57–63.
Villringer, A., & Chance, B. (1997). Non-invasive optical spectroscopy and imaging of human brain function. Trends in Neurosciences, 20(10), 435–442.
Vinckenbosch, E., Robichon, F., & Eliez, S. (2005). Gray matter alteration in dyslexia: Converging evidence from volumetric and voxel-by-voxel MRI analyses. Neuropsychologia, 43, 324–331.
Waddell, J., & Shors, T. J. (2008). Neurogenesis, learning and associative strength. The European Journal of Neuroscience, 27, 3020–3028.
Watanabe, E., Maki, A., Kawaguchi, F., Takashiro, K., Yamashita, Y., Koizumi, H., et al. (1998). Non-invasive assessment of language dominance with near-infrared spectroscopic mapping. Neuroscience Letters, 256, 49–52.
Will, B., Dalrymplealford, J., Wolff, M., & Cassel, J. (2007). The concept of brain plasticity – Paillard’s systemic analysis and emphasis on structure and function (followed by the translation of a seminal paper by Paillard on plasticity). Behavioural Brain Research, 192(1), 2–7.
Workman, J., & Weyer, L. (2008). Practical guide to interpretive near-infrared spectroscopy. Boca Raton: CRC Press.
Xu, T., Yu, X., Perlik, A. J., Tobin, W. F., Zweig, J. A., Tennant, K., et al. (2009). Rapid formation and selective stabilization of synapses for enduring motor memories. Nature, 462, 915–919.
Zaramella, P., Freato, F., Amigoni, A., Salvadori, S., Marangoni, P., Suppjei, A., et al. (2001). Brain auditory activation measured by near-infrared spectroscopy (NIRS) in neonates. Pediatric Research, 49, 213–219.
Zhao, M., Momma, S., Delfani, K., Carlen, M., Cassidy, R. M., Johansson, C. B., et al. (2003). Evidence for neurogenesis in the adult mammalian substantia nigra. Proceedings of the National Academy of Sciences of the United States of America, 100, 7925–7930.
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Chuntonov, O., Breznitz, Z. (2012). Optimizing Reading Enhancement: Evidence from Brain Research. In: Breznitz, Z., Rubinsten, O., Molfese, V., Molfese, D. (eds) Reading, Writing, Mathematics and the Developing Brain: Listening to Many Voices. Literacy Studies, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4086-0_6
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