Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

February 27, 2025


Pages


DOI

Article

Research on the Effect of Background Music on Working Memory Based on Granger Causal Network


Authors

Lingyue Wang Affiliation:
School of health science and biomediacal engineering, Hebei University of Technology, Tianjin, 300401,China
, Lei Guo Affiliation:
School of health science and biomediacal engineering, Hebei University of Technology, Tianjin, 300401,China
, Xinsheng Yang Affiliation:
School of electrical engineering, Hebei University of Technology, Tianjin, 300401, China
and Ying Li Affiliation:
School of health science and biomediacal engineering, Hebei University of Technology, Tianjin, 300401,China


Abstract

Working memory plays an important role in human advanced cognitive activities. In this research, we designed an improved Sternberg working memory task experiment. Three music conditions and twenty subjects without musical training were selected. The Electroencephalogram (EEG) data and the behavioral data of the subjects were collected. After necessary processing, we built the Granger Causal Network with the EEG data. T-test was used to detect the differences between characteristic attributes of networks in the same frequency band under different conditions. The behavioral data, the directional transfer function(DTF), information flow gains and connection densities from brain regions were selected, compared and analyzed. The conclusion is that background music interferes with the activities of the related brain regions and causes the increase of the brain load and the decline of the working memory.


Keywords

EEG, Working Memory, Background Music, Granger Causal Network, 68T07


Citation

Wang, L., Guo, L., Yang, X., & Li, Y. (2025). Research on the effect of background music on working memory based on granger causal network. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0137

Published by: Engineering Journals

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