Comparison of EEG quantitative parameters for students with ASD based on EIBI duration program
DOI:
https://doi.org/10.47750/pegegog.13.04.12Keywords:
ASD, Comparison, Duration, QEEG, StudentsAbstract
In this paper, an analysis is carried out to review the comparison of the mean EEG power between groups of ASD students in terms of duration <3 years, 3 to 9 years and ≥9 years, so that a significant difference can be seen. In this study, 33 ASD students were observed using EEG, which had a sampling frequency of 500 Hz with eight electrodes at points F3, F4, C3, C4, P3, P4, O1, O2. The results show that the longer the child gets EIBI, the absolute power of the delta and slow theta waves will decrease. Relative power results also show that the longer the duration of the student obtaining EIBI, the higher the percentage of the emergence of alpha waves. So, the comparison of power EEGs based on group division for the duration of the intervention program, shows that EIBI has the potential to improve student quality.
Downloads
References
Bosl, W. J., Tager-Flusberg, H., & Nelson, C. A. (2018). EEG analytics for early detection of autism spectrum disorder: a data-driven approac. Scientific reports , 8(1), 1-20.
Coben, R., Clarke, A. R., Hudspeth, W., & Barry, R. J. (2008). EEG power and coherence in autistic spectrum disorder. Clinical neurophysiology, 119(5), 1002-1009.
Cunha, M. B. (2004). Changes in cortical power distribution produced by memory consolidation as a function of a typewriting skill. Arquivos de neuro-psiquiatria, 63(3A), 662-668.
Darmadi, H. (2011). Metode penelitian pendidikan." (2011). Bandung: Alfabeta.
Dawson, G., Jones, E. J., Merkle, K., Venema, K., Lowy, R., Faja, S., . . . al, e. (2012). Early Behavioral Intervention Is Associated With Normalized Brain Activity in Young Children With Autism. Journal of the American Academy of Child & Adolescent Psychiatry, 51(11), 1150-1159.
Eikeseth, S., & Klintwall, L. (2014). Educational interventions for young children with autism spectrum disorders. Comprehensive guide to autism, 2101-2123.
Emerson, R. W., Adams, C., Nishino, T., Hazlett, H. C., Wolff, J. J., Zwaigenbaum, L., . . . al, e. (7 Jun 2017). "Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age." Science. Science translational medicine 9, no. 393 (2017)., 9(393).
Gabard-Durnam, L. J., Wilkinson, C., Kapur, K., Tager-Flusberg, H., Levin, A. R., & Nelson, C. A. (2019). Longitudinal EEG power in the first postnatal year differentiates autism outcome. Nature communications, 10(1), 1-12.
Hernandez, L. M., Rudie, J. D., Green, S. A., Bookheimer, S., & Dapretto, M. (2015). Neural signatures of autism spectrum disorders: insights into brain network dynamics. Neuropsychopharmacology, 40(1), 171-189.
Kana, R. K., Libero, L. E., & Moore, M. S. (2011). Disrupted cortical connectivity theory as an explanatory model for autism spectrum disorders. Physics of life reviews, 8(4), 410-437.
Klintwall, L., & Eikeseth, S. (2014). Early and intensive behavioral intervention (EIBI) in autism. Comprehensive guide to autism , 117-137.
L.Matson, J., & S.Nebel-Schwalm, M. (2007). Comorbid psychopathology with autism spectrum disorder in children: An overview. Research in Developmental Disabilities, 28(4, July–September 2007), 341-352.
Levin, A. R., Varcin, K. J., O’Leary, H. M., Tager-Flusberg, H., & Nelson, C. A. (2017). EEG power at 3 months in infants at high familial risk for autism. Journal of Neurodevelopmental Disorders , 9(1), 1-13.
Mathewson, K. J., Jetha, M. K., Drmic, I. E., Bryson, S. E., Goldberg, J. O., & Schmidt., L. A. (2012). Regional EEG alpha power, coherence, and behavioral symptomatology in autism spectrum disorder. Clinical Neurophysiology, 123(9).
Maurice, C. E., Green, G. E., & Luce., S. C. (1996). Behavioral intervention for young children with autism: A manual for parents and professionals. Pro-ed.
O’Reilly, C., Lewis, J. D., & Elsabbagh, M. (2017). Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies. PloS one, 12(5).
Parr, J. R., Couteur, A. L., Baird, G., Rutter, M., Pickles, A., Fombonne, E., . . . (IMGSAC), T. I. (2011). Early developmental regression in autism spectrum disorder: evidence from an international multiplex sample. Journal of autism and developmental disorders, 41, 332-340. doi:doi.org/10.1007/s10803-010-1055-2
R, R., Setiawan, R., Sopandia, A. A., F, F., Taufana, J., Efrinaa, E., & S, S. (2020). EEG Power Analysis of Children with Autism Spectrum Disorders (ASD) Based on EIBI Curriculum Levels.
Rahmahtrisilvia, R. (2015). Peningkatan Kemampuan Komunikasi pada Anak Autistik Menggunakan Dukungan Visual. Pedagogi: Jurnal Ilmu Pendidikan, 15(1), 128-136.
Reichow, B. (2012). Overview of meta-analyses on early intensive behavioral intervention for young children with autism spectrum disorders. Journal of autism and developmental disorders, 42(4), 512-520.
Setiawan, R., Valentine, O., & Zakaria, H. (2019). Design Therapy for Post-Stroke Patients with Robotics Tools and Principles of Mirror Neurons Using qEEG Parameter Analysis. In Proceedings of the 2nd International Conference on Control and Computer Vision. 92-96.
Smith, D. P., Hayward, D. W., Gale, C. M., Eikeseth, S., & Klintwall, L. (16 October 2019). Treatment gains from early and intensive behavioral intervention (EIBI) are maintained 10 years later. Behavior modification.
Studer, N. G. (2017). Implementation of early intensive behavioural intervention for children with autism in Switzerland. BMC psychiatry, 17(1), 1-10.
Tierney, A. L., Gabard-Durnam, L., Vogel-Farley, V., Tager-Flusberg, H., & Nelson, C. A. (2012). Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder. PloS one , 7(6).
Wang, J., Barstein, J., Ethridge, L. E., Mosconi, M. W., Takarae, Y., & Sweeney, J. A. (2013). Resting state EEG abnormalities in autism spectrum disorders. ournal of neurodevelopmental disorders , 5(1), 1-14.
Wise, V., McFarlane, A. C., Clark, C. R., & Battersby, M. (2011). An integrative assessment of brain and body function ‘at rest’in panic disorder: a combined quantitative EEG/autonomic function study. International Journal of Psychophysiology, 79(2), 155-165.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Pegem Journal of Education and Instruction
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
