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http://dx.doi.org/10.5762/KAIS.2016.17.4.351

Study on the Characteristics of EEG in Resting State on Visuo-Spatial Working Memory Performance  

Jung, Chul-Woo (Dept. of Neuroscience, Seoul University of Buddhism)
Lee, Hyeob-Eui (Dept. of Neuroscience, Seoul University of Buddhism)
Wi, Hyun-Wook (Dept. of Neuroscience, Seoul University of Buddhism)
Choi, Nam-Sook (Dept. of Neuroscience, Seoul University of Buddhism)
Park, Pyong-Woon (Dept. of Neuroscience, Seoul University of Buddhism)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.4, 2016 , pp. 351-360 More about this Journal
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.
Keywords
BQ Analysis; CAT; DMN; EEG; Resting State; Visuo-Spatial Working Memory;
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Times Cited By KSCI : 7  (Citation Analysis)
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