Document Type : Original Article

Authors

1 Ph.D., Department of Linguistics and Foreign Languages, Payame-Noor University, Tehran, Iran

2 Department of Linguistics and Foreign Languages, Payam-e-Noor University, Tehran, Iran

3 Professor, Department of Anatomy and Cell biology, Mashhad University of Medical Sciences, Mashhad, Iran

4 Associate Professor, Department of Psychology, Payame-Noor University, Tehran, Iran

5 Associate Professor, Department of Linguistics and FLs, Payame-Noor University,Tehran, Iran

Abstract

Retention and learning are neurolinguistic and psycholinguistic processes. The brain electrical response to the cognitive processes that happen in the cortices is inescapable. During neuronal activities, created waves can be recorded and displayed by quantitative electroencephalogram (QEEG) in a non-invasive form. Beta waves are created by thinking, learning, computations, reasoning, attention, and problem-solving activities. This study's primary goal is to objectively investigate the variables impacts of multisensory and non-multisensory methods of instruction on vocabulary retention concerning beta and beta1 waves frequency changes. To meet the purpose, some pre-school novice male and female foreign language learners (age: 5-6 years) participated in this study voluntarily and were assigned into two experimental groups: The Multisensory (three girls and four boys) and Non-multisensory (one girl and six boys) teaching groups. The analyses of the collected data on pre- and post-brain QEEG records of beta and beta1/SMR waves' variations indicated no significant difference between the two groups in the brain oscillatory changes. However, the case study analyses specified the supremacy of beta1 frequency ranges in the Multisensory post-records. The comparative findings of pre- and post-Expressive One Word-Picture-Matching Test (EWPMT) showed that the Multisensory group outperformed the Non-multisensory one; besides, a significant positive relationship was found between beta wave frequency changes on Fp1 and mean score of EWPM post-test in the Multisensory group. The study concluded that the multisensory approach could be a promising method to improve retention at the pre-school level.   

Keywords

Angelidis, A., Hagenaars, M., Son, D. V., Does, W., & Putman, P. (2018). Do not look away! Spontaneous frontal EEG theta/beta ratio as a marker for cognitive control over attention to mild and high threat. Biological Psychology, 135, 8-17.
Barense, M. D., Henson, R. N. A., & Graham, K. S. (2011). Perception and conception: Temporal lobe activity during complex discriminations of familiar and novel faces and objects. Journal of Cognitive Neuroscience, 23 (10), 3052-3067.
Beaucage, N., Skolney, S., Hewes, J., & Vongpaisal, T. (2019). Multisensory stimuli enhance 3-year-old children’s executive function: A three-dimensional object version of the standard Dimensional Change Card Sort. Journal of Experimental Child Psychology, 189, 1-13.
Biron, V. L., Harris, M., Kurien, G., Campbell, Ch., Lemelin, P., Livy, D., Côté, D. W. J., Ansari, Kh. (2013). Teaching cricothyrotomy: A multisensory surgical education approach for final-year medical students. Journal of Surgical Education, 70 (2), 248-253.
Blankenship, T. L., & Bell, T. A. (2015). Frontotemporal coherence and executive functions contribute to episodic memory during middle childhood. Dev Neuropsychol, 40 (7-8), 430–444.
Budzynski, Th. H., Budzynski, H. K., Evans, J. R., & Abarbanel, A. (2009). Introduction to quantitative EEG and neurofeedback: Advanced theory and application. USA: Elsevier Inc.
Carvalho, M. R., Velasques, B. B., Freire, R. C., Cagy, M., Marques, J. B., Teixeira, S., … & Ribeiro, P. (2015). Frontal cortex absolute beta power measurement in Panic Disorder with Agoraphobia patients. Journal of Affective Disorders, 184, 176-181.
Chiu C. P., Schmithorst V. J., Brown R. D., Holland S. K., & Dunn S. (2006).  Making memories: A cross-sectional investigation of episodic memory encoding in childhood using FMRI. Developmental Neuropsycholgy, 29, 321–340.
D’Alesio, R., Scalia, M., & Zabel, R. (2007). Improving vocabulary acquisition with multisensory instruction. Master Thesis, Saint Xavier University, Chicago, USA.
Daloglu, A., Baturay, M., & Yildirim, S. (2009). Designing a constructivist vocabulary learning material. In R. de Cássia Veiga Marriott and P.Lupion Torres (Eds.), Handbook of research on E-learning methodologies for language acquisition (pp. 186-203). Hershey, PA: Information Science.
Daube, J. R., & Rubin, D. I. (Eds.). (2009). Clinical neurophysiology (3rd ed.). Oxford, England: Oxford University Press.
Demos, J. N. (2005). Getting started with neurofeedback. London: Norton & Company, Inc.
Dickerson, B. C., & Eichenbaum, H. (2010). The episodic memory system: Neurocircuitry and disorders. Neuropsychopharmacology, 35, 86–104.
Falzona, H., Callejab, C., & Muscatc, C. (2011). Structured multisensory techniques in reading and learning patterns: Some considerations. UT. Revista de Ciències de l’Educació, 51-71.
Fernald, G. (1943). Remedial techniques in basic school subjects. New York: McGraw-Hill Book Co., Inc.
Fuster, J. M. (Ed.). (2008). The prefrontal cortex (4th ed.). London: Academic Press, Elsevier.
Gage, N. M., & Baars, B. J. (2010). Cognition, brain and consciousness: Introduction to cognitive neuroscience. London: Academic Press, Elsevier.
Garey, L. J. (Ed.). (1994). Brodmann’s localization in the cerebral cortex (3rd ed.). UK, London: Smith-Gordon Company Limited.
Ghetti S., & Alexander K. W. (2004). “If it happened, I would remember it”: Strategic use od event memorability in the rejection of false autobiographical events. Child Development,75, 542–561.
Ghetti S., & Bulge S. A. (2012). Neural changes underlying the development of episodic memory during middle childhood. Developmental Cognitive Neuroscience, 2, 381–395.
Gillingham, A., & Stillman, B.W. (1997). The Gillingham manual: Remedial training for students with specific disability in reading, spelling and penmanship. (8th Ed.). Cambridge: MA Educators Publishing Service.
Gongora, M., Bittencourt, J., Teixeira, S., Basile, L. F., Pompeu, F., Droguette, E. L., …& Ribeiro, P. (2016). Low-frequency rTMS over the Parieto–frontal network during a sensorimotor task: The role of absolute beta power in the sensorimotor integration. Neuroscience Letters, 116, 1-5.
Griva, E., & Chostelidou, D. (2013). Estimating the feasibility of a multisensory bilingual project in primary education. Social and Behavioral Sciences, 116, 1333-1337.
Gruzelie, J. H. (2014). Differential effects on mood of 12–15 (SMR) and 15–18 (beta1) Hz neurofeedback. International Journal of Psychophysiology, 93 (1), 112-115.
Guyton, A. C., & Hall, J. E. (2006). Textbook of medical physiology. China: Elsevier, Suanders.
Hanslmary, S., & Staudigl, T. (2013). How brain oscillations form memories: A processing-based perspective on oscillatory subsequent memory effects. NeuroImage, xxx, 84C, 4-16.
HassanNia, A., Najafi, M., & Rezaei, A. (2016). The comparison the effectiveness of Fernald multi-sensory instruction method and application mnemonics devices in improving dictation problems elementary school third grade dictated disorder students. Learning Disability, 5 (3), 122-144.
Her, S., Cha, K. S., Choi, J. W., Kim, H., Byun, J. I., woo, J-S. S., Kim, T.J., Lim, J.A., Jung, K. Y., & Kim, K. H. (2019). Impaired visuospatial attention revealed by theta- and beta-band cortical activities in idiopathic REM sleep behavior disorder patients. Clinical Neurophysiology, 130 (10), 1962-1970.
Herrera, M., & Hojel, B. (2009). Pockets 1. China: Pearson Education, Inc.
Hilton, M., Twomey, K. E., & Westermann, G. (2019). Taking their eye off the ball: How shyness affects children’s attention during word learning. Journal of Experimental Child Psychology, 183, 134-145.
Hulme, C., Thomson, N., Muir, C., & Lawrence, A. (1984). Speech rate and the development of short-term memory span. Journal of Experimental Child Psychology, 38, 241–253.
Hsu, Ch., Cheng, W., & Chiu, Sh. (2017). Analyze the beta waves of electroencephalogram signals from young musicians and non-musicians in major scale working memory task. Neuroscience Letters, 640, 42-46.
Janowsky, J. S., Shimamura, A. P., Kritchevsky, M., & Squire, L. R. (1989). Cognitive impairment following frontal lobe damage and its relevance to human amnesia. Behav. Neurosci, 103, 548 – 560.
Karlsgodt, K. H., Shirinyan, D., Van Erp, T. G., Cohen, M. S., & Cannon, T. D. (2005). Hippocampal activations during encoding and retrieval in a verbal working memory paradigm. NeuroImage, 25, 1224–1231.
Kropotov, J. D. (2009). Quantitative EEG, event-related potentials and neurotherapy. Massachusetts: Academic Press.
Kropotov, J. D. (2016). Functional neuromarkers for psychiatry. Massachusetts: Academic Press.
Lancia, F. (2007).  Word co-occurrence and similarity in meaning. Retrieved March 14, 2019, from http://mytlab.com/wcsmeaning.pdf .
Lim, S., Yeo, M., & Yoon, G. (2019). Comparison between concentration and immersion based on EEG analysis. Sensors (Basel), 19(7), 1669.
Llamas-Alonso, J., Guevara M. A., Hernández-González, M., Hevia-Orozco, J. C., & Almanza-Sepúlveda, M. L. (2019). Action video game players require greater EEG coupling between prefrontal cortices to adequately perform a dual task. Entertainment Computing, 30, 10-16.
Lubar, J. F. (2004). Quantitative electroencephalographic analysis (QEEG) databases for neurotherapy description, validation and application. USA: Taylor & Francis Group.
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016).    Gamma and beta bursts underlie working memory. Neuron, 90 (1), 152-164.
Marcuse, L. V., Fields, M. C., & Yoo, J. (2016). Rowan’s primer of EEG. New York, USA: Elsevier.
Martin, N. A., & Brownell, R. (2011). Expressive one-word picture vocabulary test-4 (EOWPVT-4). USA, Novato: Academic Publication Therapy.
Mastine, L. (2010). The human memory. Retrieved September 12, 2019, from  http://www.human-memory.net/types_short.html.
Mayeux, R., Brandt, J., Rosen, J., & Benson, D. F. (1980). Interictal memory and language impairment in temporal lobe epilepsy. Neurology, 30 (2), 120-130.
McClelland, M. M., Acock, A. C., Piccinin, A., Rhea, S. A., & Stallings, M. C. (2013). Relations between preschool attention span-persistence and age 25 educational outcomes. Early Childhood Research Quarterly, 28, 314-324.
Mcevoy, L., Smith, M., & Gevins, A. (2000). Test–retest reliability of cognitive EEG. Clinical Neurophysiology,111 (3), 457-463.
Newman, I. (2019). When saying ‘go read it again’ won't work: Multisensory ideas for more inclusive teaching & learning. Nurse Education in Practice 34, 12–16.
Opitz, B., & Friederici, A. D. (2003). Interactions of the hippocampal system and the prefrontal cortex in learning language-like rules. NeuroImage, 19 (4), 1730-1737.
Ornstein, P. A., Baker-Ward, L., Gordon, B. N., Pelphrey, K. A., Tyler, C. S., & Gramzow, E. (2006). The influence of prior knowledge and repeated questioning on children’s long-term retention of the details of a pedi-atric examination. Developmental Psychology, 42, 332–344.
Rains, J. R., Kelly, C. A., & Durham, R, L. (2008). The evolution of the importance of multi-sensory teaching techniques in elementary mathematics: theory and practice. Journal of Theory and Practice in Education, 4 (2), 239-252.
Rouault, M., & Koechlin, E. (2018). Prefrontal function and cognitive control: From action to language. Current Opinion in Behavioral Sciences, 21, 106-111.
Schmidt, R., Ruiz, M. H., Kilavik, B. E., Lundqvist, M., Starr, Ph. A., & Aron, A. R. (2019). Beta oscillations in working memory, executive control of movement and thought, and sensorimotor function. Journal of Neuroscience, 39 (42), 8231-8238.
Shimamura, A. P., Janowsky, J. S., & Squire, L. R. (1991). What is the role of frontal lobe damage in memory disorders? In H. S. Levin, H. M. Eisenberg, and A. L. Benton (eds), Frontal lobe function and dysfunction(174-195). New York, NY: Oxford University Press.
Son, D., De Blasio, M. F., Fogarty, J. S. Angelidis, A., Barry, I. J., & Putman, P. (2019). Frontal EEG theta/beta ratio during mind wandering episodes. Biological Psychology, 140, 19-27.
Spicer, J. (2000). Virtual manipulatives: A new tool for hands-on math. ENC Focus, 7(4), 14-15.
Squire, L. R. (1986). Mechanisms of memory. Science, 232, 1612 – 1619.
Suanda, S. H., Muguwanya, N., & Laura, L. N. (2014). Cross-situational statistical word learning in young children. Journal of Experimental Child Psychology, 126, 395-411.
Traxler, M. J., & Gernsbacher, M. A. (2006). Handbook of psycholinguistics. USA: Elsevier Inc.
Tulving, E. (1987). Multiple memory systems and consciousness. Human NeuroBiol, 6, 67 – 80.
Vouloumanos, A., & Werker, J. F. (2009). Infants’ learning of novel words in a stochastic environment. Developmental psychology, 45(6), 1611-1617.
Werchan, D. M., Baumgartner, H. A., Lewkowicz, D. J., & Amso, D. (2018). The origins of cortical multisensory dynamics: Evidence from human infants. Developmental Cognitive Neuroscience, 34, 75–81.
Williamson, K. F. (2011). Multi-sensory processing in adults: An EEG study of latency and amplitude in the N1 and P2 peaks. PhD Thesis, University of Colorado, Boulder. Retrieved May 21, 2019 from University of Colorado Theses and Dissertations.
Wong, P. C., Morgan-Short, K., Ettlinger, M., & Zheng, J. (2012). Linking neurogenetics and individual differences in language learning: The dopamine hypothesis. Cortex, 48(9), 1091–1102.
Young, J. J., Rudebeck, P. H., Marcuse, L. V., Fields, M. C., Yoo, J. Y., Panov, F., Ghatan, S., Fazl, A., Mandelbaum, S., & Baxter, M. G. (2017). A Theta band network involving prefrontal cortex unique to human episodic memory. NeuroImage. doi: 10.1016/j.neuroimage.2018.08.052.
Yu, C., & Smith, L. B. (2012).  Modeling cross-situational word–referent learning:  Prior questions.  Psychological Review, 119, 21-39.
Zilles, K., & Amunts, K. (2010). Centenary of Brodmann's map: Conception and fate. Nature Reviews Neuroscience,11, 139–145.