@inproceedings{9247457e97db4a85bf583b90731a25aa,
title = "Working Memory Training Using EEG Neurofeedback Based on Theta Coherence of Brain Regions",
abstract = "Recent studies have shown that the performance of working memory can be improved by the adaptation and enhancement of EEG neurofeedback training. A multitude of effective neurofeedback indicators have been proposed, most of which are based on single brain region, single rhythm wave. Some studies have also pointed out that the core factor of enhancing memory is the coherence of the rhythm waves between different brain regions, rather than the amplitude or power of single rhythm. Therefore, this study takes the synchronization of brain regions as the starting point, proposed coherence value of theta rhythm wave between anterior and posterior brain region as feedback indicator for neurofeedback training, and the result verified that the brain multi-region based neurofeedback indicator plays an important part for the improvement of working memory ability.",
keywords = "EEG, coherence, neurofeedback training, theta, working memeory",
author = "Ziyu Li and Hailing Wang and Xia Wu and Xueyuan Xu and Shuai Wei and Li Yao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th International Winter Conference on Brain-Computer Interface, BCI 2019 ; Conference date: 18-02-2019 Through 20-02-2019",
year = "2019",
month = feb,
doi = "10.1109/IWW-BCI.2019.8737262",
language = "English",
series = "7th International Winter Conference on Brain-Computer Interface, BCI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "7th International Winter Conference on Brain-Computer Interface, BCI 2019",
address = "United States",
}