Neurofacted education – initial analysis of a new research protocol based on the methodology of pedagogy and medicine

Małgorzata Chojak

Abstract


Recent years have brought with them an increase in the interest of educators in research in the field of neuroscience. Among the publications – including scientific ones – there were various proposals that referred to brain research. Neuropedagogy, neuroeducation and neurodidactics have become an attractive field of interdisciplinary discussions. Unfortunately, a significant impact on their quality was the fact that evidence-based education is still a little-known approach among educators. This article presents the procedure based on brain imaging and pedagogical methodology. Preliminary results of the analysis have shown that the information obtained in this way can be the basis for individualizing the education of children with developmental disorders.


Keywords


neuropedagogy, evidence-based education, brain, NIRS, early school education

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References


Ansari, D., De Smedt, B., Grabner, R.H. (2011). Neuroeducation – A Critical Overview of An Emerging Field. Neuroethics, 5 (2), 1–13.

Arsalidou M., Pawliw-Levac, M., Sadeghi, M., Pascual-Leone, J. (2017). Brain areas associated with numbers and calculations in children: Meta-analyses of fMRI studies. Developmental Cognitive Neuroscience, 30, 239–250.

Balardin, J.B., Zimeo Morais G.A., Furucho, R.A., Trambaioli, L., Vanzella, P., Biazoli, C., Sato, J.R. (2017). Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments. Frontiers in Human Neuroscience, 11, 258.

Budyńko, Ł., Waszak, P. (red.) (2015). Pomysł – badanie – publikacja. Poradnik naukowy dla studentów kierunków medycznych. Gdańsk: GUM.

Budziński, R. (red.) (2015). Medycyna oparta na dowodach naukowych. Pelplin: Bernardinum.

Chojak, M. (2018). Neuropedagogy as a Scientific Discipline: Interdisciplinary Description of the Theoretical Basis for the Development of a Research Field. World Academy of Science, Engineering and Technology International Journal of Educational and Pedagogical Sciences, 12 (9).

Christodoulou, J.A., Del Tufo, S.N., Lymberis, J., Saxler, P.K., Ghosh, S.S., Triantafyllou, C., Whitfield-Gabrieli, S., Gabrieli, J.D.E. (2014). Brain Bases of Reading Fluency in Typical Reading and Impaired Fluency in Dyslexia. PLOS One, 9 (7). DOI: e100552.

De Smedt,, B., Holloway, D.I., Ansaria, D. (2011). Effects of problem size and arithmetic operation on brain activation during calculation in children with varying levels of arithmetical fluency. NeuroImage, 57 (3), 771–781.

Doi, H., Shinohara, K. (2017). fNIRS Studies on Hemispheric Asymmetry in Atypical Neural Function in Developmental Disorders. Frontiers in Human Neuroscience, 11, 137.

Dresler, T., Obersteiner, A., Schecklmann, M., Vogel, A.C., Ehlis, A.C., Richter, M.M., Plichta, M.M., Reiss, K., Pekrun, R., Fallgatter, A.J. (2009). Arithmetic tasks in different formats and their influence on behavior and brain oxygenation as assessed with near-infrared spectroscopy (NIRS): a study involving primary and secondary school children. Journal of Neural Transmission (Vienna), 116 (12), 1689–1700.

Ehlis, A.C., Schneider, S., Dresler, T., Fallgatter, A.J. (2014). Application of functional near-infrared spectroscopy in psychiatry. NeuroImage Review, 85 (1), 478–488.

Friederici, A.D. (2011). The brain basis of language processing: from structure to function. Physiology Review, 91 (4), 1357–1392.

Garstka, T. (2016). Psychopedagogiczne mity. Jak zachować naukowy sceptycyzm w edukacji i wychowaniu. Warszawa: Wolters Kluwer.

Ghosh, A., Ray, A., Basu, A. (2017). Oppositional defiant disorder: current insight. Psychology Research and Behavior Management, 10, 353–367.

Inoue, Y., Sakihara, K., Gunji, A., Ozawa, H., Kimiya, S., Shinoda, H., Kaga, M., Inagaki, M. (2011). Reduced prefrontal hemodynamic response in children with ADHD during the Go/NoGo task: A NIRS study. Neuroreport, 23, 55–60.

Kawakubo, Y., Kuwabara, H., Watanabe, K., Minowa, M., Someya, T., Minowa, I., Kono, T., Nishida, H., Sugiyama, T., Kato, N., Kasai, K. (2009). Impaired Prefrontal Hemodynamic Maturation in Autism and Unaffected Siblings. PloS one, 4. DOI: e6881.

Kawashima, R., Taira, M., Okita, K., Inoue, K., Tajima, N., Yoshida, H., Fukuda, H. (2004). A functional MRI study of simple arithmetic − A comparison between children and adults. Cognitive Brain Research, 18 (3), 225–231.

Kolasa, G., Rybakowski, F. (2019). Application of functional near infrared spectroscopy in psychiatry and physical activity studies. Pharmacotherapy in Psychiatry and Neurology, 35, 131–145.

Masataka, N., Perlovsky, L., Hiraki, K. (2015). Near-infrared spectroscopy (NIRS) in functional research of prefrontal cortex. Frontiers of Human Neuroscience, 9, 274.

Safi, D., Lassonde, M., Nguyen, D.K, Vannasing, P., Tremblay, J., Florea, O., Morin-Moncet, O., Lefrançois, M., Béland, R. (2012). Functional near-infrared spectroscopy for the assessment of overt reading. Brain Behaviour, 2 (6), 825–837.

Maxwell, B., Racine, E. (2012). The Ethics of Neuroeducation: Research, Practice and Policy. Neuroethics, 5 (2).

McCaskey, U., von Aster, M., Maurer, U., Martin, E., O’Gorman Tuura, R., Kucian, K. (2018). Longitudinal Brain Development of Numerical Skills in Typically Developing Children and Children with Developmental Dyscalculia. Frontiers in Human Neuroscience, 11, 629.

Mizerek, H. (2015). Praktyka edukacyjna oparta na dowodach naukowych – założenia, dylematy, perspektywy. Forum Oświatowe, 27, 2 (54), 25–40.

Moriguchi, Y., Hiraki, K. (2013). Prefrontal cortex and executive function in young children: a review of NIRS studies. Frontiers in Human Neuroscience, 7, 867.

Nakadoi, Y., Sumitani, S., Watanabe, Y., Akiyama, M., Yamashita, N., Ohmori, T. (2012). Multi-channel near-infrared spectroscopy shows reduced activation in the prefrontal cortex during facial expression processing in pervasive developmental disorder. Psychiatry and clinical neurosciences, 66, 26–33.

Nuwer, M.C., Buchhalter, J., Shepard, K.M. (2016). Quantitative EEG in attentiondeficit/hyperactivity disorder. A companion payment policy review for clinicians and payers. Neurology in Clinical Practice, 6 (6), 543–548.

Peters, L., De Smedt, B. (2017). Arithmetic in the developing brain: A review of brain imaging studies. Developmental Cognitive Neuroscience, 30, 265–279.

Pop-Jordanova, N., Zorcec, T., Demerdzieva, A., Gucev, Z. (2010). QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder. Nonlinear Biomedical Physics, 4, 4.

Prado, J., Mutreja, R., Booth, J.R. (2014). Developmental dissociation in the neural responses to simple multiplication and subtraction problems. Developmental Science, 17 (4), 537–552.

Prado, J., Mutreja, R., Zhang, H., Mehta, R., Desroches, A.S., Minas, J.E., Booth, J.R. (2011). Distinct representations of subtraction and multiplication in the neural systems for numerosity and language. Human Brain Mapping, 32 (11), 1932–1947.

Price, G.R., Mazzocco, M.M.M., Ansari, D. (2013). Why mental arithmetic counts: brain activation during single digit arithmetic predicts high school math scores. Journal of Neuroscience, 33 (1), 156–163.

Rosenberg-Lee, M., Barth, M., Menon, V. (2011). What difference does a year of schooling make? Maturation of brain response and connectivity between 2nd and 3rd grades during arithmetic problem solving. Neuroimage, 57 (3), 796–808.

Safi, D., Lassonde, M., Nguyen, D.K, Vannasing, P., Tremblay, J., Florea, O., Morin-Moncet, O., Lefrançois, M., Béland, R. (2012). Functional near-infrared spectroscopy for the assessment of overt reading. Brain Behaviour, 2 (6), 825–837.

Schecklmann, M., Romanos, M., Bretscher, F., Plichta, M., Warnke, A., Fallgatter, A. (2010). Prefrontal oxygenation during working memory in ADHD. Journal of Psychiatric Research, 44, 621–628.

Seghier, M.L. (2008). Laterality index in functional MRI: methodological issues. Magnetic Resonance Imaging, 26 (5), 594–601.

Shyman, E. (2017). Please Wait, Processing: A Selective Literature Review of the Neurological Understanding of Emotional Processing in ASD and Its Potential Contribution to Neuroeducation. Brain Science, 7 (11), 153.

Siemann, J., Peterman, F. (2018). Evaluation of the Triple Code Model of numerical processing–Reviewing past neuroimaging and clinical findings. Research in Developmental Disabilities, 72, 106–117.

Sikorski, W. (red.) (2015). Neuroedukacja. Jak wykorzystać potencjał mózgu w procesie uczenia się. Słupsk: Dobra Literatura.

Simon, O., Mangin, J.F., Cohen, L., Le Bihan, D., Dehaene, S. (2002). Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe. Neuron, 33 (3), 475–487.

Soltanlou, M., Jung, S., Roesch, S., Ninaus, M., Brandelik, K., Heller, J., Grust, T., Nuerk, H.C., Moeller, K. (2017). Behavioral and Neurocognitive Evaluation of a Web-Platform for Game-Based Learning of Orthography and Numeracy. W: J. Buder, F.W. Hesse (red.). Informational Environments (s. 149–176). Cham: Springer.

Sousa, D. (2019). Mind, Brain, and Education: Neuroscience Implications for the Classroom (The Leading Edge Series).

Tachtsidis, P.P., Hamilton, I., Hirsch, A., Aichelburg, J., Gilbert, C., Burgess, S. (2020). The present and future use of functional near infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences, 1464 (1), 5–29.

Tamura, R., Kitamura, H., Endo, T., Abe, R., Someya, T. (2012). Decreased leftward bias of prefrontal activity in autism spectrum disorder revealed by functional near-infrared spectroscopy. Psychiatry Research: Neuroimaging, 203 (2–3), 237–240.

Wan, N., Hancock, A.S., Moon, T.K., Gillam, R.B. (2017). A functional near-infrared spectroscopic investigation of speech production during reading. Human Brain Mapping, 39 (3), 1428–1437.

Vetter, N.C., Backhausen, L.L., Buse, J., Roessner, V., Smolka, M.N. (2020). Altered brain morphology in boys with attention deficit hyperactivity disorder with and without comorbid conduct disorder/oppositional defiant disorder. Human Brain Mapping, 41 (4), 973–983.

Xiao, T., Xiao, Z., Ke, X., Hong, S., Yang, H., Su, Y., Chu, K., Xiao, X., Shen, J., Liu, Y. (2012). Response Inhibition Impairment in High Functioning Autism and Attention Deficit Hyperactivity Disorder: Evidence from Near-Infrared Spectroscopy Data. PLoS One, 7 (10). DOI: e46569.

Yokoyama, C.K., Hisanobu, K., Kinou, M., Umekage, T., Yasuda, S., Takei, K., Nishikawa, M., Sasaki, T., Nishimura, Y., Hara, N., Inoue, K., Kaneko, Y., Suzuki, S., Tanii, H., Okada, M., Okazaki, Y. (2015). Dysfunction of ventrolateral prefrontal cortex underlying social anxiety disorder: A multi-channel NIRS study. NeuroImage: Clinical, 27.

Zamarian, L., Ischebeck, A.I., Delazer, M. (2009). Neuroscience of learning arithmetic – Evidence from brain imaging studies. Neuroscience and Biobehavioral Reviews, 33 (6), 909–925.

Żylińska, M. (2013). Neurodydaktyka. Nauczanie i uczenie się przyjazne mózgowi. Toruń: Wyd. Naukowe UMK.




DOI: http://dx.doi.org/10.17951/lrp.2020.39.3.23-40
Date of publication: 2020-10-13 08:35:06
Date of submission: 2020-03-03 08:08:19


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