In collaboration with Payame Noor University and Iran Neuropsychology Association

Document Type : Original article

Authors

1 Ph.D. Student in Cognitive Neurociences, University of Tabriz, Tabriz, Iran.

2 PhD in Psychology, Faculty of Literature and Humanities, Lorestan University, Khoram Abad, Iran.

Abstract

Background:The aim of this study was to determine the effectiveness of neurofeedback on continuous attention, working memory and visual - motor perception in primary school students with specific learning disorder. Methods: The current study was an experimental type with a pre-test-post-test design with a control group. The statistical population of this research included all primary school students in Tabriz city, among them, 30 people diagnosed with learning disorders in Tabriz learning disorders centers were selected by purposive sampling method and using randomly were replaced into experimental and control groups (15 people in each group). In all two groups of N-back, continuous performance test and visual perception -motor Bender-Gestalt as pretest and post-test completion. Neurofeedback was performed in the experimental group for 20 sessions of 30-45 minutes (3 times a week for seven weeks) and the control group received no interventions. Data were analyzed by using multivariate covariance analysis in SPSS.20. Results: There is only a significant difference between the average pre-test and post-test scores of the experimental and control groups in the variables of continuous attention (p=0.001) and visual-motor perception (p=0.001). This means that neurofeedback training was effective in improving continuous attention, working memory and visual-motor perception. Conclusion: The use of neurofeedback is recommended in improving continuous attention and visual-motor perception in elementary school students with special learning disorders.

Keywords

Main Subjects

Albaret, J.M., & Chaix, Y. (2012). Neurobiological bases and neurophysiological correlates of developmental coordination disorders. Neurophysiol Clin, 42,11-7.
American Psychiatric Association. (2018). DSM-5. IV: American Psychiatric Association:41-44.
Azizi, A. (2018). Comparison of the effect of cognitive rehabilitation, neurofeedback and cognitive - behavioral play therapy on continuous attention performance, working memory and visual - motor perception in students with specific learning disorder. (dissertation). Lorestan: Lorestan University. [In Persian]
Azizi, A., Mir Drikvand, F., & Sepahvani, M.A. (2017). Comparison of cognitive rehabilitation, neurofeedback and cognitive - behavioral play therapy on visual – motor perception in primary school students with specific learning disability. Neuropsychology, 3(2):101-116. [In Persian]
Azizi, A., Mir Drikvand, F., & Sepahvani, M.A. (2017). Comparison of cognitive rehabilitation, neurofeedback and cognitive - behavioral play therapy on working memory in primary school students with specific learning disability. 6th the Basic and Clinical Neuroscience Congress. Tehran: Iran University of Medical Sciences. [In Persian]
Azizi, A., Mir Drikvand, F., & Sepahvani, M.A. (2018). Comparison of the Effect of Cognitive Rehabilitation and Neurofeedback on Sustained Attention Among Elementary School Students with Specific Learning Disorder: A Preliminary Randomized Controlled Clinical Trial. Appl Psychophysiol Biofeedback, 43, 301–307.
Balouti, A., Bayat, M.R., & Alimoradi, M. (2012). Relationship between visual perception and reading disability in primary students (first, second, third grade) of Ahwaz city. Intrnational Research Journal of Applied and Basic Sciences, 3(10):2091-96. [In Persian]
Behzadi, F., Rahimi, C.H., & Mohamadi, N. (2015). The Effect of Neurofeedback on Mathematical Calculation Ability in Primary School Students with Dyscalculia. Journal of exceptional children,15(3):5-17. [In Persian]
 Bayrami, M., Movahedi, Y., & Ahmadi, E. (2017). The effectiveness of Cognitive Rehab on the Selective – divided attention and working memory in students with dyslexia &Dyscalculia disabilities. Neuropsychology.3(2):9-28. [In Persian]
Brandenburg, J., Klesczewski, J., Fischbach, A., Schuchardt, K., Büttner, G., & Hasselhorn, M. (2015). Working memory in children with learning disabilities in reading versus spelling: searching for overlapping and specific cognitive factors. J Learn Disabil, 48(6):622-34.
Facoetti, A., & Molteni, M. (2000). Is attentional focusing an inhibitory process at distractor location? Cognitive Brain Research, 10,185–188.
Facoetti, A., Trussardi, A.N., Ruffino, M., Lorusso, M.L., Cattaneo, C., Molteni, M., & Zorzi, M. (2010). Multisensory spatial attention defi- cits are predictive of phonological decoding skills in developmental dyslexia. Journal of Cognitive Neuroscience, 22, 1011-25.
Gall, M.D., Borg, W.R., & Gall, J.P. (2021). Educational research: an introduction. 13nd ed. USA: Longman Publishing, 451-452.
Gholizadeh, Z., Babapuor-kheiraldin, J., Rostami, R., Bayrami, M., & Poursharifi, H. (2011). Effects of neurofeedback on visual memory. J Behav Sc, 4, 285-9. [In Persian]
Hadianfard, H., Najarian, B., Shokrkon, H., & Mehrabizade, M. (2001). Fabrication of the Persian form of continuous performance test. Journal of Psychology, 4, 404-388. [In Persian]
Jahani, M., Pishyareh, E., Haghgoo, H.A., Hosseini, S.A., & Ghadamgahi Sani, S.N. (2016). Neurofeedback effect on perceptual-motor skills of children with ADHD. Iranian Rehabilitation Journal; 14(1):43-50.
Khayyer, Z., Nejati, V., & Fathabadi, J. (2014). The effects of stress on working memory among students with high & low academic achievement. J Res Behave Sci, 12,391-405. [In Persian].
Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Ressearch Reviwes, 29,169-95.
Maehler, C., & Schuchardt, K. (2016). Working memory in children with specific learning disorders and/or attention deficits. Learning and Individual Differences, 49, 341-347.
Marzocchi, G. M., Ornaghi, S., & Barboglio, S. (2009). What are the causes of the attention deficits observed in children with dyslexia? Child Neuropsychology, 15(6), 567–581.
Moll, K., Kunze, S., Neuhoff, N., Bruder, J., & Schulte-Korne, G. (2014). Specific learning disorder: Prevalence and gender differences. PLoS ONE, 9(7):1–8..
Monastra, V.J., Lynn, S., Linden, M., Lubar, J.F., Gruzelier, J., & LaVaque, T.J. (2005). Electroencephalographic biofeedback in the treatment of attention-deficit/hyperactivity disorder. Applied Psychophysiology Biofeedback, 30, 95–114.
Mosanezhad Jeddi, E., & Nazari, M.A. (2013). Effectiveness of EEG-Biofeedback on Attentiveness, Working Memory and Quantitative Electroencephalography on Reading Disorder. Iran J Psychiatry Behav Sci, 7(2):35-43.
Movahedi, Y. (2016). The effectiveness of neuropsychological rehabilitation on improving the performance of neuropsychological and brain wave pattern in people with dyscalculia and dyslexia (dissertation). Tabriz: Tabriz University. [In Persian].
Nazari, S., Sayahi, H., & Afroz, G.H. (2013). Comparing the visual – motor perception of normal children with learning disibilities using bender geshtalt test. Journal of Learning Disibilities, 3,116 -135. [In Persian]
Nejati, V. (2015). The Designing and Normalization of Attention Registration Test in Children. J Res Behav Sci, 13, 519-24. [In Persian]
Oftadeh Hall, M., & Movahedi, Y. (2016). The Effect of Neurofeedback Training on the Improvement of Continuous Attention. Social Cognition, 5, 7-17. [In Persian]
Passolunghi, M.C. (2006). Working memory and arithmetic learning disability. In T. P. Alloway, & S. E. Gathercole (Eds.),Working memory and neurodevelopmental disorders (pp. 113–138). Hove, UK: Psychology Press.
Piotrowski, C.H. (2016). Bender-Gestalt Test Usage Worldwide: A Review of 30 Practicebased Studies. SS J. Proj. Psy. & Ment. Health, 23, 73-81.
Raz, S., Bar-Haim, Y., Sadeh, A., & Dan, O. (2014). Reliability and Validity of the Online Continuous Performance Test Among Young Adults. Assessment, 21,108-118.
Scharnowski, F., Rosa, M.J., Golestani, N., Hutton, C., Josephs, O., Weiskopf, N., et al. (2014). Connectivity changes underlying neurofeedback training of visual cortex activity. PLoS ONE; 9(3): e91090.
Van, Leeuwen, M., Van denBerg, S.M., Hoekstra, R.A., & Boomsma, D.I. (2007). Endophenotypes for intelligence in children and adolescents. Intelligence, 35, 369-80.
Weber, M.C. (2009). The IDEA Eligibility Mess. Buffalo Law Review; 57.