Abstract
Purpose
Because training appears to affect working memory, early evaluation and training may help to improve working memory capacity. The aim of this study was to develop a computerized platform that employs electroencephalography (EEG) to investigate the effects of working-memory training.
Methods
The platform included two systems: (i) in the assessment system we designed n-back paradigms and estimated synchronization index between the theta and gamma bands with working memory index (WMI) verification, while (ii) in the improvement system we designed working-memory training tasks based on three categories—a numerical version of a complex-span task, a figure-based version of a task-switching task, and a matrix version of a pattern task. Twenty-eight healthy volunteers were randomly assigned to the passive control and experimental groups.
Results
Significant correlations between WMI and level of difficulty were found for the numerical complex-span task and the pattern-integration task which suggested that training can improve working memory performance. Furthermore, the EEG coupling analysis revealed significantly different in the theta-band phase and high-gamma-band power (i.e., 70–90 Hz) at FC1 which could be used to uncover relationships with the working memory.
Conclusion
The system estimating the brainwave responses provided a complementary way of quantifying the degree of working memory other than using a psychophysical questionnaire. Furthermore, it could be simply and rapidly modified for implementing different training tasks, with features of flexibility, low cost, and minimal development time.
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Acknowledgements
This study was supported in part by research grants from Ministry of Science and Technology (MOST 103-2221-E-130-005-MY2, MOST 105-2420-H-130-001-MY2), Taiwan.
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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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The experimental protocol was established, according to the ethical guidelines of the Helsinki Declaration and was approved by the Human Ethics Committee of Yang-Ming University (IRB Number: YM102039E).
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Written informed consent was obtained from individual or guardian participants.
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Yang, CY., Chen, HY. Effects of Computerized Working-Memory Training with EEG-Based Assessment—. J. Med. Biol. Eng. 41, 216–223 (2021). https://doi.org/10.1007/s40846-021-00600-8
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DOI: https://doi.org/10.1007/s40846-021-00600-8