Enhancing Left Hemisphere Function in Dyslexia: A Pilot Study on 14-Channel Neurofeedback With Auto Train Brain
DOI:
https://doi.org/10.15540/nr.12.4.235Keywords:
Neurofeedback, sample entropy, learning disorders, dyslexiaAbstract
Dyslexia is a neurodevelopmental disorder characterized by difficulties in reading comprehension and speed despite normal intelligence. Neurofeedback training has emerged as a promising intervention to enhance cognitive function in individuals with dyslexia. This study aimed to evaluate the impact of Auto Train Brain, a neurofeedback-based mobile application, on gamma band entropy variance, a measure of neural signal complexity in children aged 7–10 diagnosed with dyslexia. Over the course of 30 and 100 neurofeedback sessions, using the EMOTIV INSIGHT (5 channels) and EPOC-X (14 channels) headsets, we analyzed electrophysiological changes to assess neural adaptability. Prior research has established left hemisphere deficits in dyslexia, and neurofeedback has been shown to modulate brain activity. Our findings indicate that both session duration and headset configuration influenced gamma band entropy variance, with longer training (100 sessions) and higher channel count (14) yielding greater improvements in the left temporal lobe. These results suggest enhanced functional neural adaptability, highlighting neurofeedback’s potential as a long-term intervention for improving left hemisphere functionality in children with dyslexia.
References
Arns, M., Heinrich, H., & Strehl, U. (2014). Evaluation of neurofeedback in ADHD: The long and winding road. Biological Psychology, 95, 108–115. https://doi.org/10.1016/j.biopsycho.2013.11.013
Bale, T. L. (2016). The placenta and neurodevelopment: Sex differences in prenatal vulnerability. Dialogues in Clinical Neuroscience, 18(4), 459–464. https://doi.org/10.31887/dcns.2016.18.4/tbale
Breteler, M. H. M., Arns, M., Peters, S., Giepmans, I., & Verhoeven, L. (2010). Improvements in spelling after QEEG-based neurofeedback in dyslexia: A randomized controlled treatment study. Applied Psychophysiology and Biofeedback, 35(1), 5–11. https://doi.org/10.1007/s10484-009-9105-2
Buzsáki, G., & Wang, X.-J. (2012). Mechanisms of gamma oscillations. Annual Review of Neuroscience, 35(1), 203–225. https://doi.org/10.1146/annurev-neuro-062111-150444
Cancer, A., Vanutelli, M. E., Lucchiari, C., & Antonietti, A. (2021). Using neurofeedback to restore inter-hemispheric imbalance: A study protocol for adults with dyslexia. Frontiers in Psychology, 12, Article 768061. https://doi.org/10.3389/fpsyg.2021.768061
Chyl, K., Fraga-González, G., Brem, S., & Jednoróg, K. (2021). Brain dynamics of (a) typical reading development—A review of longitudinal studies. npj Science of Learning, 6(1), Article 4. https://doi.org/10.1038/s41539-020-00081-5
Crawford, C. S., & Gilbert, J. E. (2017). NeuroBlock: A block-based programming approach to neurofeedback application development. 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 303–307). https://doi.org/10.1109/VLHCC.2017.8103483
Enriquez-Geppert, S., Huster, R. J., & Herrmann, C. S. (2013). Boosting brain functions: Improving executive functions with behavioral training, neurostimulation, and neurofeedback. International Journal of Psychophysiology, 88(1), 1–16. https://doi.org/10.1016/j.ijpsycho.2013.02.001
Enriquez-Geppert, S., Huster, R. J., Scharfenort, R., Mokom, Z. N., Zimmermann, J., & Herrmann, C. S. (2014). Modulation of frontal-midline theta by neurofeedback. Biological Psychology, 95, 59–69. https://doi.org/10.1016/j.biopsycho.2013.02.019
Enriquez-Geppert, S., Smit, D., Pimenta, M. G., & Arns, M. (2019). Neurofeedback as a treatment intervention in ADHD: Current evidence and practice. Current Psychiatry Reports, 21(6), Article 46. https://doi.org/10.1007/s11920-019-1021-4
Eroğlu, G. (2020). Improving reading abilities in dyslexia with neurofeedback and multi-sensory learning [Thesis]. Sabanci University Research Database.
Eroglu, G. (2022). 14-channel neurofeedback with Auto Train Brain improves the left lateralization of the brain in dyslexia: A pilot study. Qeios. https://doi.org/10.32388/9SJCOW.5
Eroğlu, G., Aydın, S., Çetin, M., & Balcisoy, S. (2018). Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback. 2018 26th Signal Processing and Communications Applications Conference (SIU) (pp. 1–4). Izmir, Turkey. https://doi.org/10.1109/SIU.2018.8404711
Eroğlu, G., Gürkan, M., Teber, S., Ertürk, K., Kırmızı, M., Ekici, B., Arman, F., Balcisoy, S., Özgüz, V., & Çetin, M. (2022). Changes in EEG complexity with neurofeedback and multi-sensory learning in children with dyslexia: A multiscale entropy analysis. Applied Neuropsychology: Child, 11(2), 133–144. https://doi.org/10.1080/21622965.2020.1772794
Gruzelier, J. H. (2014). EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants. Neuroscience & Biobehavioral Reviews, 44, 124–141. https://doi.org/10.1016/j.neubiorev.2013.09.015
Helland, T. (2024). Brain laterality in dyslexia seen during literacy development and early training. Brain Science, 14(9), Article 893. https://doi.org/10.3390/brainsci14090893
Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8(5), 393–402. https://doi.org/10.1038/nrn2113
Joveini, G., Shahverdi, M., Sayyahi, F., Heidarpour, F., & Hojati Abed, E. (2024). Systematic review of neurofeedback interventions for dyslexia: Methodological insights and International Classification of Function and Disability-Child and Youth (ICF-CY) framework analysis. Applied Neuropsychology: Child, 1–16. https://doi.org/10.1080/21622965.2024.2434561
Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in cognitive sciences, 16(12), 606–617. https://doi.org/10.1016/j.tics.2012.10.007
Kuhl, U., Neef, N. E., Kraft, I., Schaadt, G., Dörr, L., Brauer, J., Czepezauer, I., Müller, B., Wilcke, A., Kirsten, H., Emmrich, F., Boltze, J., Friederici, A. D., & Skeide, M. A. (2020). The emergence of dyslexia in the developing brain. NeuroImage, 211, Article 116633. https://doi.org/10.1016/j.neuroimage.2020.116633
Kundakovic, M., & Jaric, I. (2017). The epigenetic link between prenatal adverse environments and neurodevelopmental disorders. Genes, 8(3), Article 104. https://doi.org/10.3390/genes8030104
La Marca, J. P. (2014). Neurofeedback as an intervention to improve reading achievement in students with attention deficit hyperactivity disorder, inattentive subtype. University of California, Riverside. https://doi.org/10.15540/nr.3.2.55
Nazari, M. A., Mosanezhad, E., Hashemi, T., & Jahan, A. (2012). The effectiveness of neurofeedback training on EEG coherence and neuropsychological functions in children with reading disability. Clinical EEG and Neuroscience, 43(4), 315–322. https://doi.org/10.1177/1550059412451880
Nora, A., Renvall, H., Ronimus, M., Kere, J., Lyytinen, H., & Salmelin, R. (2021). Children at risk for dyslexia show deficient left-hemispheric memory representations for new spoken word forms. NeuroImage, 229, Article 117739. https://doi.org/10.1016/j.neuroimage.2021.117739
Pellegrino, M., Ben-Soussan, T. D., & Paoletti, P. (2023). A scoping review on movement, neurobiology and functional deficits in dyslexia: Suggestions for a three-fold integrated perspective. International Journal of Environmental Research and Public Health, 20(4), Article 3315. https://doi.org/10.3390/ijerph20043315
Perronnet, L., Lécuyer, A., Lotte, F., Clerc, M., & Barillot, C. (2016). Brain training with neurofeedback. In M. Clerc, L. Bougrain, & F. Lotte (Eds.), Brain–computer interfaces 1: Foundations and methods (pp. 271–292). Wiley. https://doi.org/10.1002/9781119144977.ch13
Pugh, K. R., Mencl, W. E., Jenner, A. R., Lee, J. R., Katz, L., Frost, S. J., Shaywitz, S. E., & Shaywitz, B. A. (2001). Neuroimaging studies of reading development and reading disability. Learning Disabilities Research & Practice, 16(4), 240–249. https://doi.org/10.1111/0938-8982.00024
Reid, A. A. (2018). Neuroimaging reveals heterogeneous neural correlates of reading deficit in individuals with dyslexia consistent with a multiple deficit model. In S. J. Golubic (Ed.), Neuroimaging-structure, function and mind. IntechOpen. London, UK. https://doi.org/10.5772/intechopen.80677
Simos, P. G., Rezaie, R., Fletcher, J. M., Juranek, J., Passaro, A. D., Li, Z., Cirino, P. T., & Papanicolaou, A. C. (2011). Functional disruption of the brain mechanism for reading: Effects of comorbidity and task difficulty among children with developmental learning problems. Neuropsychology, 25(4), 520–534. https://doi.org/10.1037/a0022550
Snowling, M. J., Hulme, C., & Nation, K. (2020). Defining and understanding dyslexia: Past, present and future. Oxford Review of Education, 46(4), 501–513. https://doi.org/10.1080/03054985.2020.1765756
Steiner, N. J., Frenette, E. C., Rene, K. M., Brennan, R. T., & Perrin, E. C. (2014). In-school neurofeedback training for ADHD: Sustained improvements from a randomized control trial. Pediatrics, 133(3), 483–492. https://doi.org/10.1542/peds.2013-2059
Weiss, B., Nárai, Á., & Vidnyánszky, Z. (2022). Lateralization of early orthographic processing during natural reading is impaired in developmental dyslexia. NeuroImage, 258, Article 119383. https://doi.org/10.1016/j.neuroimage.2022.119383
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