Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Study on the Characteristics of EEG in Resting State on Visuo-Spatial Working Memory Performance

시공간 작업기억 수행능력에 따른 안정상태에서의 뇌파 특성 연구

  • 정철우 (서울불교대학원대학교 뇌과학 전공) ;
  • 이협의 (서울불교대학원대학교 뇌과학 전공) ;
  • 위현욱 (서울불교대학원대학교 뇌과학 전공) ;
  • 최남숙 (서울불교대학원대학교 뇌과학 전공) ;
  • 박병운 (서울불교대학원대학교 뇌과학 전공)
  • Received : 2016.01.26
  • Accepted : 2016.04.07
  • Published : 2016.04.30
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Abstract

The purpose of this study is to predict visual-spatial working memory performance through the characteristics of an electroencephalogram (EEG) in the resting state. The 31 study participants, middle school students with various to academic performance, were underwent visual-spatial working memory test in the Comprehensive Attention Test (CAT) on December in 2014. Each 7 and 6 participants were divided into an Excellent Working Memory (EWM) group and Poor Working Memory (PWM) group depending on the forward/backward working memory scores. The EEG measurements and analysis of the data from a Brain Function Tester were performed by the two groups. A Mann-Whitney Test was used to examine the statistical differences between them. The activation of high beta (${\beta}H$) at the Fp1 and Fp2 sites in the left and right hemisphere, and that of the low beta (${\beta}L$) in the right hemisphere in the EWM group was significantly higher than that in the PWM group. In conclusion, there is a correlation between the visual-spatial working memory performance and the activation of ${\beta}H$ and ${\beta}L$ in the resting state and a close correlation that of ${\beta}L$ in the right hemisphere in terms of mental activity and faculty. Therefore, the visual-spatial working memory performance can be predicted by the activation of ${\beta}H$ and ${\beta}L$ in the resting state. The activation of EEG can be applied as an assessment tool and provide basis data for visual-spatial working memory performance.

본 연구의 목적은 표준화된 종합주의력검사(CAT)의 소검사인 시공간 작업기억력 검사를 통해 얻어진 실험대상자의 안정상태 뇌파 활성차이로 시공간 작업기억력 수행능력을 예측할 수 있는 지를 알아보고자 하는 것이다. 실험 대상자는 2014년 12월 1개월 동안 학업 성취도와 무관한 31명의 일반적인 중학생 중 시공간 작업기억력 검사 후 순방향과 역방향 공간폭 결과에서 표준편차를 벗어난 7명과 6명이 선별되었고, 선별된 대상자를 각각 작업기억력 우수 집단(EWM)과 저하 집단(PWM)으로 구성하였다. 뇌파 측정과 뇌파 밴드별 상호 연관성을 통한 뇌기능 지수의 하위요소를 알아보기 위해 뇌기능분석 프로그램을 사용하였고 집단 간 차이 검증을 위한 통계 처리는 Mann-Whitney Test로 하였다. 연구 결과는 첫째, 순방향 작업 기억력 검사 결과 EWM과 PWM 집단 간 고베타파 활성도에서 좌뇌와 우뇌 모두 유의미한 차이를 보였고 저베타파 활성도에서는 우뇌에서만 유의미한 차이가 나타났다. 둘째, 세타파와 알파파 활성도는 통계적 유의수준에는 도달하지 못했다. 결론적으로 시공간 작업기억 수행능력과 안정 상태시 고베타파와 저베타파 활성도와 상관관계가 있음을 보여주며 특히 시공간 작업기억 수행능력과 우뇌의 정신적 활동 및 사고능력과는 상관관계를 보여 주었다. 시공간 작업기억 수행능력을 안정 상태에서도 베타파의 활성도를 통해 예측할 수 있다는 점이 본 연구가 갖는 의의이다. 향후 뇌파의 활성도가 작업기억력 평가 도구와 근거자료로써 활용될 수 있기를 기대한다.

Keywords

References

  1. Baddeley, A., "Working Memory: looking back and looking forward", Nature Neuroscience, 4, pp. 829-839, 2003. DOI: http://dx.doi.org/10.1038/nrn1201
  2. Baddeley, A. D. & Hitch, G., "Working Memory", In G. H. Bower (Ed.), The psychology of learning and motivation, 8, pp. 47-89, New York: Academic Press. 1974. DOI: http://dx.doi.org/10.1016/s0079-7421(08)60452-1
  3. Baddeley, A., "The episodic buffer: a new component of working memory", Trends in Cognitive Science, 4, pp. 417-423, 2000. DOI: http://dx.doi.org/10.1016/S1364-6613(00)01538-2
  4. Linden, D. E. J., "The Working Memory Networks of the Human Brain", Neuroscientist. 13, pp. 257-267, 2007. DOI: http://dx.doi.org/10.1177/1073858406298480
  5. Todd, J.,J. & Marois, R., "Capacity limit of visual short-term memory in human posterior parietal cortex". Nature 428, pp. 751-754. 2004. DOI: http://dx.doi.org/10.1038/nature02466
  6. Vogel, E.K & Machizawa, M.G. "Neural activity predicts individual differences in visual working memory capacity", Nature 428, pp. 748-751, 2004. DOI: http://dx.doi.org/10.1038/nature02447
  7. Torkel Klingberg, Hans Forssberg, and Helena Westerberg., "Increased Brain Activity in Frontal and Parietal Cortex Underlies the Development of visuospatial Working Memory Capacity during Childhood", Journal of Cognitive Neuroscience, 14(1), pp. 1-10, 2002. DOI: http://dx.doi.org/10.1162/089892902317205276
  8. Vogel, E.K., McCollough, A.W. & Machizawa, M.G., "Neural measures reveal individual differences in controlling access to working memory", Nature, 438, pp. 500-503, 2005. DOI: http://dx.doi.org/10.1038/nature04171
  9. S. H. Song, & K. S. Song,, "EEG based Learner working memory impairment detection", Asian Journal of Education, 9(4), pp. 69-89, 2008. DOI: http://dx.doi.org/10.15753/aje.2008.9.4.004
  10. S. W. Kwon, M. J. Kang, D. H. Shin, & Y. J. Kwon, "Development of an EEG Based Discriminant-Scale for Scientifically Gifted Students in Elementary School", The Korean Society of Elementary Science Education, 25(5), pp. 556-566, 2007.
  11. Craik FI, Govoni R, Naveh-Benjamin M, & Anderson ND., "The Effects of Divided Attention on Encoding and Retrieval Processes in human memory", J Exp Psychol Gen. 125, pp. 159-180, 1996. DOI: http://dx.doi.org/10.1037/0096-3445.125.2.159
  12. H. I. Yoo, J. S. Lee, S. H. Kang, E. H. Park, J. S. Jung, B. N Kim., S. W. Son, T. W. Park, B. S Kim., & Y. S. Lee, "Standardization of the Comprehensive Attention Test for the Korean Children and Adolescents", J Kor Acad Child Adolesc Psychiatry, 20, pp. 68-75, 2009.
  13. Dalim M, Gloraia A, Bernardo F, Alonso A., "Relationship of working memory and EEG to academic performance: A study among high school students", Int J Neurosci, 117(6), pp. 869-882, 2007. DOI: http://dx.doi.org/10.1080/00207450600910077
  14. Jed A. Meltzer, Hitten P. Zaveri, Irina I. Goncharova, Marcello M. Distasio, Xenophon Papademetris, Susan S. Spencer, Dennis D. Spencer and R. Todd Constable., "Effects of Working Memory Load on Oscillatory Power in Human Intracranial EEG", Cerebral Cortex, 18, pp. 1843-1855, 2007. DOI: http://dx.doi.org/10.1093/cercor/bhm213
  15. Julie Onton, Arnaud Delorme, & Scott Makeig., "Frontal midline EEG dynamics during working memory", Neuroimage, 27, pp. 341-356, 2005. DOI: http://dx.doi.org/10.1016/j.neuroimage.2005.04.014
  16. J. S. Yadav, Rajesh Kumar, M. N. Tripathi, S. Kaur, A. S. Srivastava, H. K. Singh., "EEG Study in Excellent and Poor Achiever Students", Delhi Psychiatry Journal, 13(2), pp. 300-305, 2010.
  17. Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., gusnard, D. A., Shulman, G. L., "A default mode of brain function", Proc. Natl. Acad. Sci. U.S.A 98, pp. 676-682, 2001. DOI: http://dx.doi.org/10.1073/pnas.98.2.676
  18. Gennady G. Knyazev, Jaroslav Y. Slobodskoj-Plusnin, Andrey V. Bocharov, Liudmila V. Pylkova., "The default mode network and EEG alpha oscillations: An independent component analysis", Brain Research, 1402, pp. 67-79, 2011. DOI: http://dx.doi.org/10.1016/j.brainres.2011.05.052
  19. J. M. Seo, J. S. Lee, S. Y. Kim, & H. W. Kim., "Diagnostic Significance of Comprehensive Attention Test in Children and Adolescents with Attention-Deficit Hyperactivity Disorder", J Korean Acad Child Adolesc Psychiatry, 22, pp. 246-252, 2011. DOI: http://dx.doi.org/10.5765/jkacap.2011.22.4.246
  20. P. W. Park., "Interpretation Method of EEG", Korea Research Institute of Jungshin Science, 2005.
  21. H. J. Lee., E. H. Park., C. B. Park., & H. T. Kim., "The Effect of EEG-Biofeedback on the ERP and Performance of Visuo-Spatial Task", Korean Psychological Association Annual Conference Program & Abstract, 0, pp. 158-159, 2000.
  22. Myeong-Oh Ryu, Seon-Gyu Yi, & Ki-Ja Bak, "A study on the Brain function specialty based on the Maladaptive Soldier by Brain waves analysis", Journal of The Korea Academia-Industrial cooperation Society, 15(4), pp. 1916-1922, 2015. DOI: http://dx.doi.org/10.5762/KAIS.2014.15.4.1916
  23. D. S. Kim, C. O. Choi, "Electroencephalogram", Seoul: Korean Medical Book, Publishing Company, 2001.
  24. J. N. Demos, "Getting Started withNeurofeedback", W. W. Norton & Company, New York, pp. 112-121, 2004.
  25. P. W. Park, "Introduction of Neurofeedback", Korea Research Institute of Jungshin Science, 2005.
  26. Giyong-Im, Hee-Rae Park, Nam-Sook Choi, & Pyong-Woon Park., "A Study of Correlation between Big 5 Personality Traits and SRQ of Brain Quotient", Journal of The Korea Academia-Industrial cooperation Society, 16(6), pp. 3760-3768, 2015. DOI: http://dx.doi.org/10.5762/KAIS.2015.16.6.3760
  27. K. J. Bak, P. W. Park, S. K. Ahn, "A Study on the effects of prefrontal lobe neurofeedback training on the correlation of children by timeseries linear analysis", Journal of The Korea Academia-Industrial cooperation Society, 10(7), pp. 1673-1679, 2009. DOI: http://dx.doi.org/10.5762/KAIS.2009.10.7.1673
  28. Hee-Rae Park, Pyong-Woon Park, Gi-woon Song, & Gi-yong Lim, "Socio-Economic Effects on Brain Functions and Symptoms of Child Behavior Problems", Journal of The Korea Academia-Industrial cooperation Society, 16(1), pp. 462-470, 2015. DOI: http://dx.doi.org/10.5762/KAIS.2015.16.1.462
  29. Yun-Keum Kim, Seon-Gyu Yi, & Ki-Ja Bak, "The effect of Dance as a Healing Art influential to Elderly Women's Brain Function", Journal of The Korea Academia-Industrial cooperation Society, 15(5), pp. 2655-2661, 2014. DOI: http://dx.doi.org/10.5762/KAIS.2014.15.5.2655
  30. Y. J. Kim, H. H. Kim, J. K. Park, H. K. Chae, K. M. Kang, S. H. Cho, Y .K. Min, N. K. Chang., "The Evaluations of the Functional State of the Brain by Brain Wave Measure during Problem "Journal. of Biology Education, Seoul National University", Korea Research Institute of Jungshin Science, 28(3), pp. 291-301, International Journal of Psychophysiology, 2000.
  31. Klimesch, W. "EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis," Brain Research Reviews, 29, pp. 169-195, 1999. DOI: http://dx.doi.org/10.1016/S0165-0173(98)00056-3
  32. N. Jausovec & K. Jausovec, "Working Memory Training: Improving intelligence-Changing brain activity", Brain and Cognition, 79, pp. 96-106, 2012. DOI: http://dx.doi.org/10.1016/j.bandc.2012.02.007
  33. Sauseng, P., Griesmayr, B., Freunberger, R., & Klimesch, W., "Control mechanisms in working memory: A possible function of EEG theta oscillations", Neuroscience and Biobehavioral Reviews, 34, pp. 1015-1022, 2010. DOI: http://dx.doi.org/10.1016/j.neubiorev.2009.12.006
  34. Rene Scheeringa, Marcel C. M. Bastiaansen, Karl Magnus Petersson, Robert Oostenveld, David G. Norris, Peter Hagoort., "Frontal theta EEG activity correlates negatively with the default mode network in resting state", International Journal of Psychophysiology, 67, pp. 242-251, 2008. DOI: http://dx.doi.org/10.1016/j.ijpsycho.2007.05.017
  35. Torkel Klingberg, Hans Forssberg, & Helena Westerberg., "Training of Working Memory in Children With ADHD", Journal of Clinical and Experimental Neuropsychology, 24(6), pp. 781-791, 2002. DOI: http://dx.doi.org/10.1076/jcen.24.6.781.8395
  36. Steven J. Beck., Christine A. Hanson., & Synthia S. Puffenberger., "A Controlled Trial of Working Memory Training for Children and Adolescents with ADHD", Journal of Clinical Child & Adolescent Psychology, 39(6), pp. 825-836, 2010. DOI: http://dx.doi.org/10.1080/15374416.2010.517162
  37. Shi Xiong, Chen Cheng, Xia Wu, Xiaojuan Guo, Li Yao, & Jiacai Zhang, "Working Memory training using EEG neurofeedback in normal young adults", Bio-Medical Materials and Engineering, 24, pp. 3637-3644, 2014.